after-action
Skill0 starsChanged 14 days agoMITView on GitHub
Run a blameless post-incident review that produces a factual timeline, root and contributing causes, what worked, and tracked corrective actions with owners. Use after a significant incident, near miss or exercise, or when lessons-learned items keep not getting done.
2 other projects use a version of this.
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- cjwind/crystal-facetstheir own version, first seen Oct 15, 2026
- yuanhaorannnnnn/agent-skillstheir own version, first seen Sep 18, 2026
Other versions2 projects use a version of this.
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- cjwind/crystal-facets★ 0same name
- yuanhaorannnnnn/agent-skills★ 0same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
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The file
Files
After-Action Review
Workflow
- Schedule within 2 weeks of closure while memory is fresh; include responders, system owners, and decision-makers.
- Build the factual timeline first (from the case record) and circulate it before the meeting for corrections.
- Walk the timeline, asking at each phase: what did we know, what did we do, what would have let us act sooner or better?
- Measure: time to detect (first malicious event → first alert), time to triage, time to contain, time to recover; detection source (internal alert, third party, user report).
- Identify causes with "5 whys" or a contributing-factor list across: prevention control, detection gap, process, people/training, tooling, third party. Avoid naming individuals as root cause.
- Corrective actions: specific, owned, dated, prioritized; each tied to a cause. Track in the risk/ticket system and report closure.
Questions that surface real gaps
- Which attacker step had no detection? Which had a detection that was ignored or closed?
- Where did we lose time waiting (approvals, access, contacts, vendor)?
- Did the out-of-band channel and contact list work?
- What telemetry did we wish we had? Was retention long enough?
- Would this have been prevented by a control we believed was in place?
Output template
After-action — <incident id> — <date>
Summary: <>
Metrics: TTD <> | TTT <> | TTC <> | TTR <> | detection source <>
Timeline: <link>
What worked: <>
Contributing factors: <factor> → <evidence>
Corrective actions:
# | action | cause addressed | owner | due | priority | ticket
Detection gaps → new detections: <>Related skills
incident-report-writing, detection-lifecycle, attack-coverage-mapping, risk-register
References
- NIST SP 800-61r3: https://csrc.nist.gov/pubs/sp/800/61/r3/final
- Google SRE, Postmortem culture: https://sre.google/sre-book/postmortem-culture/
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