postmortem-solo — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited postmortem-solo (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
Five sections, strict word limits:
Total: ≤ 350 words. If you need more, you're hiding from a decision.
Solo postmortems have a trap: you're the only person who could have caused this, so it's tempting to either (a) flagellate yourself, or (b) blame externalities ("Stripe was flaky"). Neither is useful.
Correct framing: "What system / habit / default could I change so that next-month-me cannot make this mistake even if next-month-me is tired and distracted?"
This forces solutions toward process, automation, or alarms — not "be more careful next time."
# Postmortem: <one-sentence headline>
**Date:** <YYYY-MM-DD> — drafted <X> days after the incident.
## What happened
- …
- …
- …
## Impact
…
## Timeline
- HH:MM — <event>
- HH:MM — <event>
## Root cause(s)
…
## Changes
1. <change> — owner: me, due: <date>, verified by: <how I'll know it worked>
2. <change> — owner: me, due: <date>, verified by: <how>Input: "I deployed on Friday afternoon, broke the signup flow for ~6 hours, lost about 40 trial signups before I noticed."
Output:
# Postmortem: Friday-afternoon deploy broke signup for 6 hours
**Date:** 2026-04-30 — drafted 2 days after the incident.
## What happened
- Deployed schema migration at 16:45 local time.
- Migration removed a column the signup form still referenced.
- Signup returned 500 for ~6 hours until I checked Stripe at 22:30.
## Impact
~40 trial signups lost (Stripe shows 0 new customers in the window vs. ~7/hour baseline). Estimated revenue at risk: ~$280/mo if 10% would have converted.
## Timeline
- 16:45 — deploy pushed.
- 16:50 — first 500 (no alert; error logger was rate-limited).
- 22:30 — noticed via empty Stripe dashboard, rolled back migration in 8 min.
## Root cause(s)
The signup form references the dropped column directly, not via an abstraction. CI ran migrations against an empty test DB, so the form-vs-schema mismatch never surfaced. No deploy-time alert fires when 500 rate exceeds baseline.
## Changes
1. Add a basic uptime check that posts a Slack ping on >5x baseline 500s — owner: me, due: 2026-05-03, verified by: triggering a test 500 and confirming the ping.
2. Block deploys after 16:00 local time on Fridays (calendar reminder + git pre-push hook) — owner: me, due: 2026-05-02, verified by: trying to deploy at 17:00 Friday and getting blocked.五段,严格字数限制:
总长 ≤ 350 字。再多就是在逃避决定。
单兵复盘有个陷阱:唯一可能犯错的就是你,所以容易要么(a)自责,要么(b)甩锅外部。两者都没用。
正确框架: "我能改变什么系统/习惯/默认值,让下个月的我即使累了走神也不会再犯?"
这逼着方案朝流程、自动化、告警走——而不是"下次更小心"。
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.