Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add cnfeat/top-pm-skills --skill incident-postmortemgit clone --depth 1 https://github.com/cnfeat/top-pm-skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/cnfeat/top-pm-skills/incident-postmortem)<a href="https://agentmods.dev/skills/cnfeat/top-pm-skills/incident-postmortem"><img src="https://agentmods.dev/badge/skills/cnfeat/top-pm-skills/incident-postmortem/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/cnfeat/top-pm-skills/incident-postmortem"><img src="https://agentmods.dev/badge/skills/cnfeat/top-pm-skills/incident-postmortem.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00071 | $0.01470 |
| Opus 5 | $0.00036 | $0.00735 |
| Sonnet 5 | $0.00014 | $0.00294 |
| Haiku 4.5 | $0.00007 | $0.00147 |
Grade A, and why
incident-postmortem scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 5d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 156 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Incident Postmortem Skill
This skill produces a complete, blameless incident postmortem document following industry-standard format. Output enforces blameless framing throughout — system gaps over individual failures — and drives toward specific, closeable action items rather than vague process commitments.
Required Inputs
Ask the user for these if not provided:
- Incident title / ID
- Severity (P1 / P2 / P3 or SEV1 / SEV2 / SEV3)
- Date and duration of the incident
- What happened (rough notes are fine — the skill will structure them)
- Services or systems affected
- Customer impact (how many users, what was degraded)
- How it was detected
- How it was resolved
- Initial thoughts on root cause
- Action items already identified (optional)
- Responders (who was on-call or responded — names or roles; used for the timeline, not for blame)
- Customer or external communications sent (optional — any status page updates, emails, or support messages with timestamps)
Output Format
Incident Postmortem: [Incident Title]
Incident ID: [ID] Severity: [P1/P2/P3] Date: [Date] Duration: [Start time → Resolution time — total duration] Status: [Resolved / Monitoring / Ongoing] Author: [Leave blank for user to fill] Last updated: [Date]
Executive Summary
[3–5 sentences. Describe what happened, who was affected, and what was done to resolve it. Written for a non-technical stakeholder. No jargon. No blame.]
Impact
| Dimension | Details |
|---|---|
| Users affected | [Number or percentage] |
| Services degraded | [List affected services] |
| Business impact | [Revenue, SLA breach, support tickets, etc. if known] |
| Duration | [Total time from first detection to full resolution] |
Timeline
List events in chronological order. Each entry: [HH:MM UTC] — [What happened. Who did what. What changed.]
Rules for timeline entries:
- Use passive or system-focused language — avoid "X made a mistake"
- Include: first symptom, detection, escalation, hypothesis tested, fix applied, confirmation of resolution
- Note time between key events (e.g. "22 minutes between detection and escalation")
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 5d ago First seen · 156 lines · 71 tokens per session scan A 2714c2b4882f
incident-postmortem is a skill published in the GitHub repository cnfeat/top-pm-skills (48 stars, last pushed 2mo ago), licensed MIT. It adds 71 tokens to every session and 1,470 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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