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feat: role-aware health dashboards, contributor activity tracking, and calibrated estimates#3893

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marcusquinn merged 5 commits intomainfrom
feature/contributor-health-issues
Mar 8, 2026
Merged

feat: role-aware health dashboards, contributor activity tracking, and calibrated estimates#3893
marcusquinn merged 5 commits intomainfrom
feature/contributor-health-issues

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@marcusquinn
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@marcusquinn marcusquinn commented Mar 8, 2026

Summary

  • Role-aware health issues: Contributors running aidevops with a repo in their repos.json now get [Contributor:username] health dashboard issues (not pinned), while maintainers continue to get [Supervisor:username] issues (pinned). Role determined via GitHub collaborator permission API, cached per repo per pulse cycle, fails closed to "contributor".
  • Contributor activity tracking: New contributor-activity-helper.sh computes activity from immutable git commit history — commits, active days, productive hours per contributor. Integrated into the health issue dashboard body as a "Contributor Activity (last 30 days)" section.
  • Calibrated estimation guidance: Analysed 340 completed tasks and found estimates were systematically 2.2x too high (median). Updated planning docs with calibrated tiers: ~15m trivial, ~30m small, ~1h medium, ~2h large, ~4h major.

Changes

New files

  • .agents/scripts/contributor-activity-helper.sh — git-based activity tracking (summary table + per-user JSON breakdown)

Modified files

  • .agents/scripts/pulse-wrapper.sh_get_runner_role(), role-aware _update_health_issue_for_repo(), activity table integration, prefetch filtering for contributor label
  • .agents/scripts/commands/pulse.md — Hard Rule 11 updated for contributor label
  • .agents/reference/planning-detail.md — New "Estimation Calibration" section with data-backed tiers
  • .agents/workflows/plans.md — Updated estimate references and examples to calibrated values
  • .agents/templates/todo-template.md — Updated estimate field description

Testing

  • contributor-activity-helper.sh summary tested against aidevops repo — correctly maps noreply emails to GitHub logins, filters bots, produces markdown table
  • contributor-activity-helper.sh user tested — produces JSON breakdown by today/week/month/year
  • ShellCheck clean on both pulse-wrapper.sh and contributor-activity-helper.sh
  • johnwaldo confirmed as read permission via API — will correctly get [Contributor:johnwaldo] issues

Summary by CodeRabbit

  • New Features

    • Added contributor activity tracking (commits, active days, productivity) to dashboards.
  • Documentation

    • Updated task estimation guidance with AI-assisted tier ranges and a new Estimation Calibration section.
    • Revised auto-subtasking thresholds and dispatch unit ranges (shorter estimates).
    • Expanded cross-repo concurrency fairness guidance and minor related clarifications.
    • Clarified supervisor/contributor role workflows and updated policy guidance around contributor-labeled issues and templates.

…d calibrated estimates

- Add _get_runner_role() to pulse-wrapper.sh — checks GitHub collaborator
  permission API, caches per repo per pulse cycle, returns supervisor/contributor
- Refactor _update_health_issue_for_repo() for role-aware labels, prefixes,
  and pinning (only supervisors get pinned issues)
- Add contributor-activity-helper.sh — computes activity from immutable git
  history (commits, active days, productive hours) per contributor
- Integrate activity table into health issue dashboard body
- Update prefetch state filtering to exclude contributor-labelled issues
- Recalibrate estimation guidance based on 340 completed tasks (median 2.2x
  over-estimation) — new tiers: ~15m/~30m/~1h/~2h/~4h
- Update pulse.md Hard Rule 11 for contributor label awareness
@github-actions github-actions bot added the enhancement Auto-created from TODO.md tag label Mar 8, 2026
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Summary of Changes

Hello, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request significantly enhances the aidevops system by introducing dynamic role-based health dashboards, providing transparent contributor activity metrics, and refining task estimation guidelines. These changes aim to improve operational visibility for different user roles, offer insights into team engagement, and foster more accurate project planning through data-driven estimation.

Highlights

  • Role-Aware Health Dashboards: Health dashboard issues now differentiate between [Supervisor:username] (pinned for maintainers) and [Contributor:username] (unpinned for non-maintainers) based on GitHub permissions.
  • Contributor Activity Tracking: A new script, contributor-activity-helper.sh, was introduced to track and display contributor activity (commits, active days, productive hours) directly within health dashboard issues, derived from git history.
  • Calibrated Estimation Guidance: Planning documentation was updated with new, data-backed task estimation tiers (e.g., ~15m for trivial, ~4h for major) after an analysis revealed previous estimates were systematically too high.
Changelog
  • .agents/reference/planning-detail.md
    • Updated example task estimate from ~4h to ~1h.
    • Added a new "Estimation Calibration" section detailing AI-assisted execution time, analysis of past estimates, and calibrated task tiers.
  • .agents/scripts/commands/pulse.md
    • Modified Rule 11 to include the contributor label, preventing agents from modifying contributor health dashboard issues.
  • .agents/scripts/contributor-activity-helper.sh
    • Added a new script to compute contributor activity (commits, active days, productive hours) from git history.
    • Included functions for extracting GitHub logins from noreply emails, computing activity summaries, and retrieving single-user activity.
  • .agents/scripts/pulse-wrapper.sh
    • Updated prefetch_state to filter out contributor labeled issues from agent processing.
    • Added _get_runner_role function to determine if a runner is a "supervisor" or "contributor" based on GitHub repository permissions, with caching.
    • Modified _update_health_issue_for_repo to create role-specific health issues ([Supervisor:user] or [Contributor:user]) with appropriate labels and pinning behavior.
    • Integrated the contributor-activity-helper.sh output into the health dashboard issue body.
    • Adjusted issue body text to reflect the runner's role.
  • .agents/templates/todo-template.md
    • Updated the ~estimate field description to reference the new calibrated tiers.
  • .agents/workflows/plans.md
    • Updated example task estimates in Ralph-able tasks from ~2h to ~1h and ~4h to ~2h.
    • Adjusted the bounded scope for #auto-dispatch tasks from ~2h to ~1h.
    • Updated estimates in complex plan phases to reflect calibrated values (e.g., ~1h to ~30m, ~2h to ~1h).
    • Updated the ~estimate field description to reference the new calibrated tiers.
Activity
  • The contributor-activity-helper.sh summary command was tested against the aidevops repository, confirming correct mapping of noreply emails to GitHub logins, bot filtering, and markdown table generation.
  • The contributor-activity-helper.sh user command was tested, producing a JSON breakdown of activity by day, week, month, and year.
  • Both pulse-wrapper.sh and contributor-activity-helper.sh passed ShellCheck.
  • User johnwaldo was confirmed to have read permission via the GitHub API, ensuring they correctly receive [Contributor:johnwaldo] issues.
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github-actions bot commented Mar 8, 2026

🔍 Code Quality Report

�[0;35m[MONITOR]�[0m Code Review Monitoring Report

�[0;34m[INFO]�[0m Latest Quality Status:
SonarCloud: 0 bugs, 0 vulnerabilities, 368 code smells

�[0;34m[INFO]�[0m Recent monitoring activity:
Sun Mar 8 16:21:47 UTC 2026: Code review monitoring started
Sun Mar 8 16:21:48 UTC 2026: SonarCloud - Bugs: 0, Vulnerabilities: 0, Code Smells: 368

📈 Current Quality Metrics

  • BUGS: 0
  • CODE SMELLS: 368
  • VULNERABILITIES: 0

Generated on: Sun Mar 8 16:21:50 UTC 2026


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📥 Commits

Reviewing files that changed from the base of the PR and between 7d9b74e and ed6e641.

📒 Files selected for processing (2)
  • .agents/scripts/commands/pulse.md
  • .agents/scripts/pulse-wrapper.sh

Walkthrough

This PR adds role-aware (supervisor vs. contributor) health-issue management to pulse, a contributor-activity helper script, and recalibrates planning/estimation guidance and auto-subtasking thresholds across templates and docs.

Changes

Cohort / File(s) Summary
Planning & Estimation
.agents/reference/planning-detail.md, .agents/templates/todo-template.md, .agents/workflows/plans.md
Rewrote estimation guidance to explicit AI-assisted tiers (~15m–~4h), added an Estimation Calibration section, lowered auto-subtasking threshold (>4h → >2h) and adjusted dispatch unit ranges (~30m–4h → ~15m–2h).
Pulse Policy
.agents/scripts/commands/pulse.md
Extended prohibition to include issues with the contributor label; clarified Maintainer vs non-Maintainer handling and preserved fail-closed permission semantics.
Contributor Activity Helper (new)
.agents/scripts/contributor-activity-helper.sh
Added a new Bash utility to compute per-contributor metrics (commits, active days, productive hours, avg commits/day); supports summary/table/JSON and per-user queries.
Pulse Wrapper — Role Awareness
.agents/scripts/pulse-wrapper.sh
Added _get_runner_role() and made health/quality sweep flows role-aware (labels, dedup, pin/unpin, cache filenames); integrated contributor activity into health/quality issue bodies and made pinning conditional on supervisor role.
Templates
.agents/templates/todo-template.md
Updated ~estimate description to reference AI-assisted execution time tiers and link to planning-detail.

Sequence Diagram(s)

sequenceDiagram
    participant Runner as "pulse-wrapper\n(Runner)"
    participant GH as "GitHub API"
    participant Helper as "contributor-activity-helper"
    participant Issue as "Health Issue (Issues API)"

    Runner->>GH: query collaborator permissions for runner_user
    GH-->>Runner: returns permissions -> role (supervisor|contributor)
    Runner->>Helper: request contributor activity (repo, 30d)
    Helper-->>Runner: returns activity summary (JSON/MD)
    alt role == supervisor
        Runner->>GH: create/update health issue with supervisor label, include activity, pin
        GH-->>Issue: issue created/updated (pinned)
    else role == contributor
        Runner->>GH: create/update health issue with contributor label, include activity (no pin)
        GH-->>Issue: issue created/updated
    end
    Runner->>Runner: cache health issue id keyed by repo+role
Loading

Estimated code review effort

🎯 3 (Moderate) | ⏱️ ~25 minutes

Possibly related PRs

Suggested labels

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Poem

🛠️ A pulse that knows who's steering the ship,
Supervisor pins while contributors skip,
Activity counted from each git line,
Estimates tightened—smaller by design,
Roles, metrics, and templates all aligned. ✨

🚥 Pre-merge checks | ✅ 3
✅ Passed checks (3 passed)
Check name Status Explanation
Description Check ✅ Passed Check skipped - CodeRabbit’s high-level summary is enabled.
Title check ✅ Passed The PR title accurately and concisely summarizes the three main changes: role-aware health dashboards, contributor activity tracking, and calibrated estimates, all reflected in the file changes.
Docstring Coverage ✅ Passed Docstring coverage is 100.00% which is sufficient. The required threshold is 80.00%.

✏️ Tip: You can configure your own custom pre-merge checks in the settings.

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🧪 Generate unit tests (beta)
  • Create PR with unit tests
  • Post copyable unit tests in a comment
  • Commit unit tests in branch feature/contributor-health-issues

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Code Review

This pull request introduces role-aware health dashboards, contributor activity tracking, and calibrated task estimates. However, it introduces several high-severity command injection vulnerabilities in contributor-activity-helper.sh and a medium-severity vulnerability in pulse-wrapper.sh due to unsafe interpolation of shell variables into command strings and Python scripts. Additionally, the new contributor-activity-helper.sh script contains instances of error suppression that violate repository rules and some dead code, and pulse-wrapper.sh also adds error suppression on API calls, which violates repository rules. There's also a minor documentation inconsistency in the new estimation guidelines. Specific suggestions are provided to address these security, robustness, and maintainability concerns, including adherence to repository rules regarding error suppression.

Comment on lines +110 to +187
echo "$git_data" | python3 -c "
import sys
import json
from collections import defaultdict
from datetime import datetime, timezone

# Read email-to-login mapping function inline
def email_to_login(email):
if email.endswith('@users.noreply.github.com'):
local = email.split('@')[0]
return local.split('+', 1)[1] if '+' in local else local
if email in ('actions@github.com', 'action@github.com'):
return 'github-actions'
return email.split('@')[0]

# Parse commits
contributors = defaultdict(lambda: {'commits': 0, 'days': set(), 'daily_spans': defaultdict(list)})

for line in sys.stdin:
line = line.strip()
if not line or '|' not in line:
continue
email, date_str = line.split('|', 1)
login = email_to_login(email)

# Skip bot accounts
if login in ('github-actions',):
continue

try:
dt = datetime.fromisoformat(date_str.replace('Z', '+00:00'))
except ValueError:
continue

day = dt.strftime('%Y-%m-%d')
contributors[login]['commits'] += 1
contributors[login]['days'].add(day)
contributors[login]['daily_spans'][day].append(dt)

# Compute productive hours per contributor
results = []
for login, data in sorted(contributors.items(), key=lambda x: -x[1]['commits']):
active_days = len(data['days'])
commits = data['commits']

# Productive hours: sum of (last - first) commit time per active day
# Minimum 15 minutes per active day (accounts for single-commit days)
total_hours = 0.0
for day, timestamps in data['daily_spans'].items():
timestamps.sort()
span = (timestamps[-1] - timestamps[0]).total_seconds() / 3600
total_hours += max(span, 0.25) # minimum 15 min per active day

avg_per_day = commits / active_days if active_days > 0 else 0

results.append({
'login': login,
'commits': commits,
'active_days': active_days,
'productive_hours': round(total_hours, 1),
'avg_commits_per_day': round(avg_per_day, 1)
})

format_type = '${format}'
period = '${period}'

if format_type == 'json':
print(json.dumps(results, indent=2))
else:
# Markdown table
if not results:
print('_No contributor activity._')
else:
print(f'| Contributor | Commits | Active Days | Productive Hours | Avg/Day |')
print(f'| --- | ---: | ---: | ---: | ---: |')
for r in results:
print(f'| {r[\"login\"]} | {r[\"commits\"]} | {r[\"active_days\"]} | {r[\"productive_hours\"]}h | {r[\"avg_commits_per_day\"]} |')
" 2>/dev/null
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security-high high

The compute_activity function is vulnerable to command injection because it interpolates shell variables (${format} and ${period}) directly into a Python script string passed to python3 -c. This is a risky pattern that could lead to arbitrary shell command execution if the inputs change or contain double quotes. To remediate this, pass the variables as arguments to the Python script and access them via sys.argv. Additionally, the 2>/dev/null at the end of the command suppresses all Python errors, which violates repository rules and should be removed.

echo "$git_data" | python3 -c "
import sys
import json
from collections import defaultdict
from datetime import datetime, timezone

# Read email-to-login mapping function inline
def email_to_login(email):
    if email.endswith('@users.noreply.github.com'):
        local = email.split('@')[0]
        return local.split('+', 1)[1] if '+' in local else local
    if email in ('actions@github.com', 'action@github.com'):
        return 'github-actions'
    return email.split('@')[0]

# Parse commits
contributors = defaultdict(lambda: {'commits': 0, 'days': set(), 'daily_spans': defaultdict(list)})

for line in sys.stdin:
    line = line.strip()
    if not line or '|' not in line:
        continue
    email, date_str = line.split('|', 1)
    login = email_to_login(email)

    # Skip bot accounts
    if login in ('github-actions',):
        continue

    try:
        dt = datetime.fromisoformat(date_str.replace('Z', '+00:00'))
    except ValueError:
        continue

    day = dt.strftime('%Y-%m-%d')
    contributors[login]['commits'] += 1
    contributors[login]['days'].add(day)
    contributors[login]['daily_spans'][day].append(dt)

# Compute productive hours per contributor
results = []
for login, data in sorted(contributors.items(), key=lambda x: -x[1]['commits']):
    active_days = len(data['days'])
    commits = data['commits']

    # Productive hours: sum of (last - first) commit time per active day
    # Minimum 15 minutes per active day (accounts for single-commit days)
    total_hours = 0.0
    for day, timestamps in data['daily_spans'].items():
        timestamps.sort()
        span = (timestamps[-1] - timestamps[0]).total_seconds() / 3600
        total_hours += max(span, 0.25)  # minimum 15 min per active day

    avg_per_day = commits / active_days if active_days > 0 else 0

    results.append({
        'login': login,
        'commits': commits,
        'active_days': active_days,
        'productive_hours': round(total_hours, 1),
        'avg_commits_per_day': round(avg_per_day, 1)
    })

format_type = sys.argv[1]
period = sys.argv[2]

if format_type == 'json':
    print(json.dumps(results, indent=2))
else:
    # Markdown table
    if not results:
        print('_No contributor activity._')
    else:
        print(f'| Contributor | Commits | Active Days | Productive Hours | Avg/Day |')
        print(f'| --- | ---: | ---: | ---: | ---: |')
        for r in results:
            print(f'| {r["login"]} | {r["commits"]} | {r["active_days"]} | {r["productive_hours"]}h | {r["avg_commits_per_day"]} |')
" "$format" "$period"
References
  1. Avoid using '2>/dev/null' for blanket suppression of command errors in shell scripts to ensure that authentication, syntax, or system issues remain visible for debugging.

Comment on lines +213 to +277
echo "$git_data" | python3 -c "
import sys
import json
from collections import defaultdict
from datetime import datetime, timedelta, timezone

def email_to_login(email):
if email.endswith('@users.noreply.github.com'):
local = email.split('@')[0]
return local.split('+', 1)[1] if '+' in local else local
if email in ('actions@github.com', 'action@github.com'):
return 'github-actions'
return email.split('@')[0]

target = '${target_login}'
now = datetime.now(timezone.utc)

periods = {
'today': now.replace(hour=0, minute=0, second=0, microsecond=0),
'this_week': now - timedelta(days=now.weekday()),
'this_month': now.replace(day=1, hour=0, minute=0, second=0, microsecond=0),
'this_year': now.replace(month=1, day=1, hour=0, minute=0, second=0, microsecond=0),
}

counts = {p: {'commits': 0, 'days': set(), 'hours': 0.0, 'daily_spans': defaultdict(list)} for p in periods}

for line in sys.stdin:
line = line.strip()
if not line or '|' not in line:
continue
email, date_str = line.split('|', 1)
login = email_to_login(email)
if login != target:
continue

try:
dt = datetime.fromisoformat(date_str.replace('Z', '+00:00'))
except ValueError:
continue

day = dt.strftime('%Y-%m-%d')
for period_name, start in periods.items():
start_aware = start.replace(tzinfo=timezone.utc) if start.tzinfo is None else start
if dt >= start_aware:
counts[period_name]['commits'] += 1
counts[period_name]['days'].add(day)
counts[period_name]['daily_spans'][day].append(dt)

result = {'login': target}
for period_name in ('today', 'this_week', 'this_month', 'this_year'):
data = counts[period_name]
total_hours = 0.0
for day, timestamps in data['daily_spans'].items():
timestamps.sort()
span = (timestamps[-1] - timestamps[0]).total_seconds() / 3600
total_hours += max(span, 0.25)

result[period_name] = {
'commits': data['commits'],
'active_days': len(data['days']),
'productive_hours': round(total_hours, 1)
}

print(json.dumps(result, indent=2))
" 2>/dev/null
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security-high high

The user_activity function is vulnerable to command injection because it interpolates the shell variable ${target_login} directly into a Python script string. If an attacker can control this variable, they can execute arbitrary shell commands by including a double quote in the input. To remediate this, pass the variable as an argument to the Python script and access it via sys.argv. Additionally, the 2>/dev/null at the end of the command suppresses all Python errors, which violates repository rules and should be removed.

echo "$git_data" | python3 -c "
import sys
import json
from collections import defaultdict
from datetime import datetime, timedelta, timezone

def email_to_login(email):
    if email.endswith('@users.noreply.github.com'):
        local = email.split('@')[0]
        return local.split('+', 1)[1] if '+' in local else local
    if email in ('actions@github.com', 'action@github.com'):
        return 'github-actions'
    return email.split('@')[0]

target = sys.argv[1]
now = datetime.now(timezone.utc)

periods = {
    'today': now.replace(hour=0, minute=0, second=0, microsecond=0),
    'this_week': now - timedelta(days=now.weekday()),
    'this_month': now.replace(day=1, hour=0, minute=0, second=0, microsecond=0),
    'this_year': now.replace(month=1, day=1, hour=0, minute=0, second=0, microsecond=0),
}

counts = {p: {'commits': 0, 'days': set(), 'hours': 0.0, 'daily_spans': defaultdict(list)} for p in periods}

for line in sys.stdin:
    line = line.strip()
    if not line or '|' not in line:
        continue
    email, date_str = line.split('|', 1)
    login = email_to_login(email)
    if login != target:
        continue

    try:
        dt = datetime.fromisoformat(date_str.replace('Z', '+00:00'))
    except ValueError:
        continue

    day = dt.strftime('%Y-%m-%d')
    for period_name, start in periods.items():
        start_aware = start.replace(tzinfo=timezone.utc) if start.tzinfo is None else start
        if dt >= start_aware:
            counts[period_name]['commits'] += 1
            counts[period_name]['days'].add(day)
            counts[period_name]['daily_spans'][day].append(dt)

result = {'login': target}
for period_name in ('today', 'this_week', 'this_month', 'this_year'):
    data = counts[period_name]
    total_hours = 0.0
    for day, timestamps in data['daily_spans'].items():
        timestamps.sort()
        span = (timestamps[-1] - timestamps[0]).total_seconds() / 3600
        total_hours += max(span, 0.25)

    result[period_name] = {
        'commits': data['commits'],
        'active_days': len(data['days']),
        'productive_hours': round(total_hours, 1)
    }

print(json.dumps(result, indent=2))
" "$target_login"
References
  1. Avoid using '2>/dev/null' for blanket suppression of command errors in shell scripts to ensure that authentication, syntax, or system issues remain visible for debugging.

print(f'| --- | ---: | ---: | ---: | ---: |')
for r in results:
print(f'| {r[\"login\"]} | {r[\"commits\"]} | {r[\"active_days\"]} | {r[\"productive_hours\"]}h | {r[\"avg_commits_per_day\"]} |')
" 2>/dev/null
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high

The Python script execution is piped to 2>/dev/null. This suppresses all Python errors (e.g., syntax errors, runtime exceptions), making the script very difficult to debug. This violates the repository's general rules about error suppression. Please remove 2>/dev/null to ensure that any errors from the Python script are visible.

Suggested change
" 2>/dev/null
"
References
  1. Avoid using '2>/dev/null' for blanket suppression of command errors in shell scripts to ensure that authentication, syntax, or system issues remain visible for debugging.

}

print(json.dumps(result, indent=2))
" 2>/dev/null
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high

The Python script execution is piped to 2>/dev/null. This suppresses all Python errors (e.g., syntax errors, runtime exceptions), making the script very difficult to debug. This violates the repository's general rules about error suppression. Please remove 2>/dev/null to ensure that any errors from the Python script are visible.

Suggested change
" 2>/dev/null
"
References
  1. Avoid using '2>/dev/null' for blanket suppression of command errors in shell scripts to ensure that authentication, syntax, or system issues remain visible for debugging.

# Per-runner identity
# Per-runner identity and role
local runner_user
runner_user=$(gh api user --jq '.login' 2>/dev/null || whoami)
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high

This gh api call suppresses errors with 2>/dev/null, which can hide critical authentication or network issues. This violates the repository's general rules. Please remove the error suppression. The || whoami already provides a fallback.

Suggested change
runner_user=$(gh api user --jq '.login' 2>/dev/null || whoami)
runner_user=$(gh api user --jq '.login' || whoami)
References
  1. Avoid using '2>/dev/null' for blanket suppression of command errors in shell scripts to ensure that authentication, syntax, or system issues remain visible for debugging.


local role="contributor"
local response
response=$(gh api "repos/${repo_slug}/collaborators/${runner_user}/permission" --jq '.permission // empty' 2>/dev/null) || response=""
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security-medium medium

The _get_runner_role function is vulnerable to command injection because the repo_slug variable is interpolated into a double-quoted string used as an argument for gh api. If repo_slug contains a double quote, it can terminate the string and allow an attacker to execute arbitrary shell commands. Additionally, this gh api call suppresses errors with 2>/dev/null, which violates repository rules and can hide critical issues. To remediate the command injection, construct the path in a separate variable assignment before passing it to the command. The error suppression should also be removed to improve debugging.

Suggested change
response=$(gh api "repos/${repo_slug}/collaborators/${runner_user}/permission" --jq '.permission // empty' 2>/dev/null) || response=""
local api_path="repos/${repo_slug}/collaborators/${runner_user}/permission"
response=$(gh api "$api_path" --jq '.permission // empty') || response=""
References
  1. Avoid using '2>/dev/null' for blanket suppression of command errors in shell scripts to ensure that authentication, syntax, or system issues remain visible for debugging.

Comment on lines 93 to 98
- `~2h` is the threshold for auto-subtasking — tasks above this get decomposed
- When in doubt, estimate lower — over-estimation wastes dispatch capacity by reserving worker slots longer than needed

## Auto-Subtasking

(t1188.2): Tasks with estimates >4h that have no existing subtasks are flagged as `needs-subtasking` in the eligibility assessment. The AI reasoner uses `create_subtasks` to break them into dispatchable units (~30m-4h each) before attempting dispatch. Tasks that already have subtasks are flagged as `has-subtasks` — the supervisor dispatches the subtasks instead.
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medium

There appears to be a contradiction in the auto-subtasking threshold. The new 'Estimation Calibration' section on line 93 states ~2h is the threshold for auto-subtasking, but the 'Auto-Subtasking' section on line 98 still refers to the old >4h threshold and mentions a range of ~30m-4h. Please update the Auto-Subtasking section to align with the new calibrated estimates for consistency.

Suggested change
- `~2h` is the threshold for auto-subtasking — tasks above this get decomposed
- When in doubt, estimate lower — over-estimation wastes dispatch capacity by reserving worker slots longer than needed
## Auto-Subtasking
(t1188.2): Tasks with estimates >4h that have no existing subtasks are flagged as `needs-subtasking` in the eligibility assessment. The AI reasoner uses `create_subtasks` to break them into dispatchable units (~30m-4h each) before attempting dispatch. Tasks that already have subtasks are flagged as `has-subtasks` — the supervisor dispatches the subtasks instead.
(t1188.2): Tasks with estimates >2h that have no existing subtasks are flagged as `needs-subtasking` in the eligibility assessment. The AI reasoner uses `create_subtasks` to break them into dispatchable units (~30m-2h each) before attempting dispatch. Tasks that already have subtasks are flagged as `has-subtasks` — the supervisor dispatches the subtasks instead.

Comment on lines +31 to +49
_email_to_login() {
local email="$1"

if [[ "$email" == *"@users.noreply.github.com" ]]; then
# Extract login from NNN+login@users.noreply.github.com
local local_part="${email%%@*}"
if [[ "$local_part" == *"+"* ]]; then
echo "${local_part#*+}"
else
echo "$local_part"
fi
elif [[ "$email" == "actions@github.com" || "$email" == "action@github.com" ]]; then
echo "github-actions"
else
# Fallback: use local part of email
echo "${email%%@*}"
fi
return 0
}
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medium

The bash function _email_to_login is defined but never called. The same logic is implemented and used within the embedded Python scripts. This dead code should be removed to improve maintainability.


# Get git log: email|ISO-date (one line per commit)
local git_data
git_data=$(git -C "$repo_path" log --all --format='%ae|%aI' $since_arg 2>/dev/null) || git_data=""
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medium

The git log command uses 2>/dev/null to suppress errors. This is against the repository's general rules, as it can hide important errors related to git configuration or repository access. Please remove the error redirection to allow for better debugging.

Suggested change
git_data=$(git -C "$repo_path" log --all --format='%ae|%aI' $since_arg 2>/dev/null) || git_data=""
git_data=$(git -C "$repo_path" log --all --format='%ae|%aI' $since_arg) || git_data=""
References
  1. When using git commands (like 'init', 'remote') in shell scripts, use the '-q' flag to suppress standard output instead of '2>/dev/null', ensuring that error messages on stderr remain visible for debugging.


# Get all commits by this user (match by noreply email pattern)
local git_data
git_data=$(git -C "$repo_path" log --all --format='%ae|%aI' --since='1.year.ago' 2>/dev/null) || git_data=""
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medium

The git log command uses 2>/dev/null to suppress errors. This is against the repository's general rules, as it can hide important errors related to git configuration or repository access. Please remove the error redirection to allow for better debugging.

Suggested change
git_data=$(git -C "$repo_path" log --all --format='%ae|%aI' --since='1.year.ago' 2>/dev/null) || git_data=""
git_data=$(git -C "$repo_path" log --all --format='%ae|%aI' --since='1.year.ago') || git_data=""
References
  1. When using git commands (like 'init', 'remote') in shell scripts, use the '-q' flag to suppress standard output instead of '2>/dev/null', ensuring that error messages on stderr remain visible for debugging.

…suppression, fix threshold

- Pass shell variables to Python via sys.argv instead of string interpolation
  (eliminates command injection risk in contributor-activity-helper.sh)
- Remove dead _email_to_login bash function (logic lives in Python only)
- Remove 2>/dev/null suppressions from git, python3, and gh api calls
- Use separate variable for gh api path in _get_runner_role
- Align auto-subtasking threshold with calibrated estimates (>4h -> >2h)
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🔍 Code Quality Report

�[0;35m[MONITOR]�[0m Code Review Monitoring Report

�[0;34m[INFO]�[0m Latest Quality Status:
SonarCloud: 0 bugs, 0 vulnerabilities, 368 code smells

�[0;34m[INFO]�[0m Recent monitoring activity:
Sun Mar 8 16:45:40 UTC 2026: Code review monitoring started
Sun Mar 8 16:45:40 UTC 2026: SonarCloud - Bugs: 0, Vulnerabilities: 0, Code Smells: 368

📈 Current Quality Metrics

  • BUGS: 0
  • CODE SMELLS: 368
  • VULNERABILITIES: 0

Generated on: Sun Mar 8 16:45:43 UTC 2026


Generated by AI DevOps Framework Code Review Monitoring

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coderabbitai bot previously requested changes Mar 8, 2026
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Actionable comments posted: 3

Caution

Some comments are outside the diff and can’t be posted inline due to platform limitations.

⚠️ Outside diff range comments (2)
.agents/scripts/pulse-wrapper.sh (2)

1482-1505: ⚠️ Potential issue | 🟠 Major

Scope the cached health issue by role as well as runner.

The cache filename only includes runner_user and repo_slug. If the collaborator-permission lookup fails closed to contributor for one pulse, or the user's repo permission changes later, the next run will reuse the other role's issue and overwrite its title/body while leaving the old labels in place.

Suggested fix
-    local health_issue_file="${cache_dir}/health-issue-${runner_user}-${slug_safe}"
+    local health_issue_file="${cache_dir}/health-issue-${runner_user}-${role_label}-${slug_safe}"
🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed.

In @.agents/scripts/pulse-wrapper.sh around lines 1482 - 1505, Summary: The
cached health issue filename isn't scoped by runner_role, causing cross-role
reuse; include runner_role in the cache key. Update the construction and use of
health_issue_file/slug_safe/health_issue_number to incorporate runner_role
(e.g., change health_issue_file to include "${runner_role}" or use a separate
role-scoped key), and ensure all reads/writes and removals reference that
updated name; no other behavior changes needed—_unpin_health_issue,
health_issue_number, repo_slug, runner_user, cache_dir and slug_safe should be
updated consistently so contributor vs supervisor issues are isolated.

1618-1624: ⚠️ Potential issue | 🟡 Minor

Use the same system-issue predicate for Total Issues.

This summary excludes only supervisor, so contributor dashboards will count their own health issue and the persistent quality-review issue as backlog. Reuse the same filter you use for the prefetch snapshot here so the metric stays actionable.

🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed.

In @.agents/scripts/pulse-wrapper.sh around lines 1618 - 1624, The
total_issue_count calculation uses a different jq filter than the prefetch
snapshot; locate the prefetch snapshot's gh issue list invocation (the prefetch
snapshot's system-issue predicate) and replace the jq filter in the
total_issue_count assignment (the gh call building total_issue_count) with that
same predicate so total_issue_count excludes the same system issues as the
prefetch snapshot; keep repo_slug and state=open arguments the same and ensure
the command still falls back to "0" on error.
🤖 Prompt for all review comments with AI agents
Verify each finding against the current code and only fix it if needed.

Inline comments:
In @.agents/reference/planning-detail.md:
- Around line 71-95: The recorded "actual:" value must use the same unit as the
calibrated "~estimate" (wall-clock branch-to-PR-ready time) rather than active
session time—update the code that writes the `actual:` field in the completion
flow (the logic referenced in the plans workflow where `actual:` is set) and the
todo template generator that emits `actual:` so both compute elapsed wall-clock
time from branch creation to PR-ready (or else convert active-session to
wall-clock using stored branch timestamps). Locate the writer in the plans
completion flow (where `actual:` is populated) and the template emitter in the
todo template generation, replace the active-session timer with wall-clock
calculation using branch creation and PR-ready timestamps (or store both and
persist a wall-clock `actual:`) so estimate vs actual comparisons are
apples-to-apples.

In @.agents/scripts/contributor-activity-helper.sh:
- Around line 88-106: The contributor summary currently only filters
'github-actions'; update the filtering logic (in the loop that reads stdin and
uses email_to_login/login) to exclude common bot accounts by: adding common bot
names to the exclusion set (e.g., 'dependabot[bot]', 'renovate[bot]',
'github-actions'), and also treating any login that endswith('[bot]') (and
optionally endswith('-bot')) as a bot to skip; keep using email_to_login as-is
so noreply addresses still map correctly, then replace the current if login in
('github-actions',): continue check with the expanded set + pattern checks to
drop bots from contributors.

In @.agents/scripts/pulse-wrapper.sh:
- Around line 452-455: The current jq filter in pulse-wrapper.sh (the
filtered_json assignment that uses issue_json and selects on label names like
"supervisor" or "contributor") is dropping issues and risking reuse of common
repo labels; change the script to use a namespaced dashboard label (e.g.,
"pulse:contributor" or "pulse-contributor") instead of bare names and update
every occurrence of the jq filter (the filtered_json variable assignments) to
check for that namespaced label(s). Also update the gh label create commands
that run in this script to create and reference the same namespaced label so gh
label create --force cannot overwrite unrelated repo labels. Ensure all
instances (the filtered_json jq calls and any gh label create invocations) use
the new namespaced label string consistently.

---

Outside diff comments:
In @.agents/scripts/pulse-wrapper.sh:
- Around line 1482-1505: Summary: The cached health issue filename isn't scoped
by runner_role, causing cross-role reuse; include runner_role in the cache key.
Update the construction and use of
health_issue_file/slug_safe/health_issue_number to incorporate runner_role
(e.g., change health_issue_file to include "${runner_role}" or use a separate
role-scoped key), and ensure all reads/writes and removals reference that
updated name; no other behavior changes needed—_unpin_health_issue,
health_issue_number, repo_slug, runner_user, cache_dir and slug_safe should be
updated consistently so contributor vs supervisor issues are isolated.
- Around line 1618-1624: The total_issue_count calculation uses a different jq
filter than the prefetch snapshot; locate the prefetch snapshot's gh issue list
invocation (the prefetch snapshot's system-issue predicate) and replace the jq
filter in the total_issue_count assignment (the gh call building
total_issue_count) with that same predicate so total_issue_count excludes the
same system issues as the prefetch snapshot; keep repo_slug and state=open
arguments the same and ensure the command still falls back to "0" on error.

ℹ️ Review info
⚙️ Run configuration

Configuration used: Path: .coderabbit.yaml

Review profile: CHILL

Plan: Pro

Run ID: 6069c3a7-7daf-4b0c-b700-db21c3222e6b

📥 Commits

Reviewing files that changed from the base of the PR and between fe26a70 and 70abff9.

📒 Files selected for processing (6)
  • .agents/reference/planning-detail.md
  • .agents/scripts/commands/pulse.md
  • .agents/scripts/contributor-activity-helper.sh
  • .agents/scripts/pulse-wrapper.sh
  • .agents/templates/todo-template.md
  • .agents/workflows/plans.md

Comment on lines +71 to +95
## Estimation Calibration

Estimates represent **AI-assisted execution time** — the wall-clock time from branch creation to PR-ready, including implementation, testing, and verification. They are NOT human-developer estimates.

**Calibrated from 340 completed tasks** (git-measured actual vs estimated):
- Median estimate/actual ratio was 2.2x (estimates were 2.2x too high)
- 53% of tasks had estimates > 2x actual duration
- Root cause: estimates were written as if a human developer were doing the work

**Use these calibrated tiers:**

| Tier | Estimate | Scope | Examples |
|------|----------|-------|---------|
| Trivial | `~15m` | 1-2 file edits, single function | Fix typo, update config value, add label |
| Small | `~30m` | Single-file feature, helper function | New helper script, add CLI flag, fix bug |
| Medium | `~1h` | Multi-file, CI workflow, new integration | New subagent, API integration, workflow |
| Large | `~2h` | 5+ files, new subsystem, cross-cutting | New feature with tests, refactor module |
| Major | `~4h` | Cross-cutting orchestration, new system | New orchestration layer, major redesign |

**Rules:**
- Default to `~30m` for most tasks (the median actual completion time)
- Only use `~4h` for genuinely complex multi-system work
- `~2h` is the threshold for auto-subtasking — tasks above this get decomposed
- When in doubt, estimate lower — over-estimation wastes dispatch capacity by reserving worker slots longer than needed

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⚠️ Potential issue | 🟠 Major

Keep ~estimate and actual: on the same unit.

This section redefines ~estimate as wall-clock branch-to-PR-ready time, but Line 34 in .agents/templates/todo-template.md and the completion flow at Lines 451-463 in .agents/workflows/plans.md still record actual: as active session time. That makes the new calibration and any estimate-vs-actual variance apples-to-oranges.

🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed.

In @.agents/reference/planning-detail.md around lines 71 - 95, The recorded
"actual:" value must use the same unit as the calibrated "~estimate" (wall-clock
branch-to-PR-ready time) rather than active session time—update the code that
writes the `actual:` field in the completion flow (the logic referenced in the
plans workflow where `actual:` is set) and the todo template generator that
emits `actual:` so both compute elapsed wall-clock time from branch creation to
PR-ready (or else convert active-session to wall-clock using stored branch
timestamps). Locate the writer in the plans completion flow (where `actual:` is
populated) and the template emitter in the todo template generation, replace the
active-session timer with wall-clock calculation using branch creation and
PR-ready timestamps (or store both and persist a wall-clock `actual:`) so
estimate vs actual comparisons are apples-to-apples.

Comment on lines +452 to 455
# Remove issues with supervisor, contributor, persistent, or quality-review labels
local filtered_json
filtered_json=$(echo "$issue_json" | jq '[.[] | select(.labels | map(.name) | (index("supervisor") or index("persistent") or index("quality-review")) | not)]')
filtered_json=$(echo "$issue_json" | jq '[.[] | select(.labels | map(.name) | (index("supervisor") or index("contributor") or index("persistent") or index("quality-review")) | not)]')

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⚠️ Potential issue | 🟠 Major

Use a namespaced label for dashboard issues.

gh label create --force will repurpose any existing repo label named contributor or supervisor, and the prefetch filter then drops every open issue carrying that label from the pulse snapshot. In repos that already use contributor for normal triage, this both rewrites label metadata and hides real work items.

Suggested fix
-        role_label="supervisor"
+        role_label="aidevops-supervisor-dashboard"
@@
-        role_label="contributor"
+        role_label="aidevops-contributor-dashboard"
@@
-                filtered_json=$(echo "$issue_json" | jq '[.[] | select(.labels | map(.name) | (index("supervisor") or index("contributor") or index("persistent") or index("quality-review")) | not)]')
+                filtered_json=$(echo "$issue_json" | jq '[.[] | select(.labels | map(.name) | (index("aidevops-supervisor-dashboard") or index("aidevops-contributor-dashboard") or index("persistent") or index("quality-review")) | not)]')

Also applies to: 1467-1478, 1552-1556

🤖 Prompt for AI Agents
Verify each finding against the current code and only fix it if needed.

In @.agents/scripts/pulse-wrapper.sh around lines 452 - 455, The current jq
filter in pulse-wrapper.sh (the filtered_json assignment that uses issue_json
and selects on label names like "supervisor" or "contributor") is dropping
issues and risking reuse of common repo labels; change the script to use a
namespaced dashboard label (e.g., "pulse:contributor" or "pulse-contributor")
instead of bare names and update every occurrence of the jq filter (the
filtered_json variable assignments) to check for that namespaced label(s). Also
update the gh label create commands that run in this script to create and
reference the same namespaced label so gh label create --force cannot overwrite
unrelated repo labels. Ensure all instances (the filtered_json jq calls and any
gh label create invocations) use the new namespaced label string consistently.

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Acknowledged. The supervisor label has been in production across all managed repos for months — renaming it would break existing health issues and require migration logic. The new contributor label follows the same convention for consistency.

The collision risk is low in practice: these labels are only created on repos in repos.json where pulse: true, and the framework manages those repos end-to-end. If a repo already uses contributor for triage, the --force flag would update its color/description, but the prefetch filter only drops issues that have both the role label AND the runner-user label (the --label flags are ANDed in the gh issue list query).

Filed as a follow-up consideration for label namespacing across the framework.

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@marcusquinn, understood — the migration cost of renaming supervisor is a legitimate constraint, and contributor following the same established convention is reasonable. I'll note it for future reference.

One narrower point to be aware of: while the health issue search correctly ANDs role_label + runner_user labels (so it won't match unrelated triage issues), the prefetch jq filter at line 455 uses OR logic independently:

jq '[.[] | select(.labels | map(.name) | (index("supervisor") or index("contributor") or ...) | not)]'

This means any issue labeled only contributor (without the runner-user label) would still be silently hidden from the pulse snapshot. In a repo that uses contributor for triage, those work items would disappear from the LLM's view. Worth keeping in mind when the namespacing follow-up is addressed.

Happy to defer this — noting it for context in the follow-up.


✏️ Learnings added
Learnt from: marcusquinn
Repo: marcusquinn/aidevops PR: 3893
File: .agents/scripts/pulse-wrapper.sh:452-455
Timestamp: 2026-03-08T16:59:32.817Z
Learning: In marcusquinn/aidevops, the `supervisor` label has been in production on all managed repos for months as a role label for health dashboard issues. The `contributor` label was added in PR `#3893` following the same convention for non-maintainer health dashboards. Renaming these labels would break existing health issues and require migration logic — label namespacing is a known deferred follow-up item, not an immediate fix requirement. Both labels are only created on repos with `pulse: true` in repos.json, which are fully framework-managed repos.

Note: Learnings are effective only in the context of similar code segments. To apply general coding guidelines, please configure review instructions. You can manage existing learnings in the app.


🧠 Learnings used
Learnt from: marcusquinn
Repo: marcusquinn/aidevops PR: 0
File: :0-0
Timestamp: 2026-03-03T16:33:18.313Z
Learning: For the marcusquinn/aidevops repository: The daily quality sweep system (pulse-wrapper.sh) should only mention coderabbitai for full codebase review when there are significant changes (Quality Gate failure, +10 issues in one day, etc.), not on every automated sweep with stable metrics.

…te units

- Filter dependabot[bot], renovate[bot], and other bot accounts from
  contributor activity summary (not just github-actions)
- Add note clarifying relationship between ~estimate (wall-clock) and
  actual: (session time) fields — both are useful for different purposes
@marcusquinn
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Addressed review feedback in commits 70abff9 and 2779cd4:

Gemini findings (all fixed):

  • Shell→Python variable injection: now uses sys.argv instead of string interpolation
  • 2>/dev/null suppressions: removed from git, python3, and gh api calls
  • Dead _email_to_login bash function: removed (logic lives in Python only)
  • API path construction: uses separate variable in _get_runner_role
  • Auto-subtasking threshold: aligned with calibrated estimates (>4h → >2h)

CodeRabbit findings:

  • Bot filtering: expanded to catch dependabot[bot], renovate[bot], and any *[bot]/*-bot accounts
  • Estimate unit clarification: added note explaining relationship between ~estimate (wall-clock) and actual: (session time)
  • Label namespacing: responded inline — supervisor is established in production, contributor follows same convention, collision risk is low in managed repos

@marcusquinn marcusquinn dismissed coderabbitai[bot]’s stale review March 8, 2026 17:10

Addressed in commits 70abff9 and 2779cd4: expanded bot filtering, clarified estimate units, responded to label namespacing concern.

- Include role_label in cache filename to prevent cross-role reuse if
  a user's permission changes between pulse cycles
- Align total_issue_count jq filter with prefetch filter — exclude
  supervisor, contributor, persistent, and quality-review labels
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🔍 Code Quality Report

�[0;35m[MONITOR]�[0m Code Review Monitoring Report

�[0;34m[INFO]�[0m Latest Quality Status:
SonarCloud: 0 bugs, 0 vulnerabilities, 367 code smells

�[0;34m[INFO]�[0m Recent monitoring activity:
Sun Mar 8 17:14:37 UTC 2026: Code review monitoring started
Sun Mar 8 17:14:37 UTC 2026: SonarCloud - Bugs: 0, Vulnerabilities: 0, Code Smells: 367

📈 Current Quality Metrics

  • BUGS: 0
  • CODE SMELLS: 367
  • VULNERABILITIES: 0

Generated on: Sun Mar 8 17:14:40 UTC 2026


Generated by AI DevOps Framework Code Review Monitoring

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sonarqubecloud bot commented Mar 8, 2026

@marcusquinn marcusquinn merged commit f785df9 into main Mar 8, 2026
12 checks passed
@marcusquinn marcusquinn deleted the feature/contributor-health-issues branch March 8, 2026 17:18
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github-actions bot commented Mar 8, 2026

Completed via PR #3915. merged to main.

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