Oncall review
Skill philpalmieri/engineering-manager-skills/skills/github/oncall-review
npx -y skills add philpalmieri/engineering-manager-skills --skill oncall-reviewAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
One thing to look at
- 1 stars1 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.
What its author says it does
Copied from the file, not written here
Score the quality of an on-call or first-responder shift based on issue completeness, handoff quality, and engagement signals. Use when reviewing a completed on-call shift or generating team metrics.
The file declares its own license as MIT. That is the author’s claim about this one file, and it is not the same thing as the license GitHub reports for the repository, which is listed with the other numbers below.
SKILL.md
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On-Call Quality Review
Evaluate the quality of a completed on-call (or first-responder) shift by scoring against a rubric. Produces a star rating and qualitative assessment.
When to use
- "How was this week's on-call?", "rate the FR shift", "on-call quality check"
- As part of periodic team health reviews
Prerequisites
- A GitHub issue tracking the on-call shift (typically auto-created with a checklist template)
- Access to the issue via
ghCLI - A scoring rubric stored in the vault (location from setup config)
Process
Step 1: Fetch the shift issue
gh issue view {number} --repo {org}/{team-repo} --json title,body,comments,labels,assignees,createdAt,closedAt
Extract:
- Assignee: who was on-call
- Checklist items: count total, count checked
- Comments: count total, assess quality (see below)
- Handoff: look for a handoff comment or section
Step 2: Score against rubric
Apply the scoring rubric. A reasonable default rubric:
| Criterion | Points | How to assess |
|---|---|---|
| Checklist completion ≥ 20% | +1 | Count checked / total checkboxes |
| Checklist completion ≥ 50% | +1 | Same |
| Comments ≥ 3 | +1 | Count non-bot comments |
| Comments ≥ 6 | +1 | Same |
| Handoff completed | +1 | Look for a handoff comment, section, or linked handoff issue |
Maximum score: ⭐⭐⭐⭐⭐
Teams should customize this rubric to match their expectations. Store it in the vault (e.g., Areas/Team Metrics/On-Call Quality Rubric.md).
Step 3: Qualitative assessment
Beyond the raw score, assess:
- Investigation quality: Did comments show actual debugging (Splunk queries, Sentry links, SLO analysis)? Or just "acknowledged, auto-resolved"?
- Checklist engagement: Were unchecked items skipped because they didn't apply, or because they were missed?
- Handoff quality: Does the handoff give the next person enough context to start without spelunking? Or is it "nothing happened this week"?
- Incident response: If incidents fired, were they triaged promptly? Is there follow-up documented?
Step 4: Output
Write a summary (to the vault or inline, depending on context):
### On-Call Review: @{assignee} ({date_range})
**Score: ⭐⭐⭐** (3/5)
| Criterion | Result |
|-----------|--------|
| Checkboxes ≥ 20% | ✅ (47%) |
| Checkboxes ≥ 50% | ❌ (47%) |
| Comments ≥ 3 | ✅ (3) |
| Comments ≥ 6 | ❌ (3) |
| Handoff | ⚠️ Partial |
**Notes:**
- Investigation quality was above average (detailed SLO breakdown with monitoring links)
- Checkbox completion hurt by [reason if identifiable]
- Handoff was [complete/partial/missing]: [specifics]
If maintaining a tracking doc, append this to the historical record.
Rubric customization
The default rubric above is a starting point. Teams should adjust based on:
- Shift type: On-call vs. first-responder may have different expectations
- Team size: Smaller teams may have fewer incidents and lower comment baselines
- Maturity: New teams should start with lower thresholds and raise them over time
Store the active rubric in the vault so the team can see and iterate on it.
Rules
- Score the shift, not the person. The review assesses the quality of the work product, not the individual. Frame feedback constructively.
- Account for quiet weeks. A low score during a genuinely quiet week (no incidents, no alerts) should be noted as context, not penalized.
- Flag data issues. If the issue body appears truncated (common with long checklists), note which criteria couldn't be assessed.
- Be honest. A 2-star shift is a 2-star shift. Don't inflate scores to be nice, but do explain what would have made it better.