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 agentmods add skills/sawrus/agent-guides/postmortem-analysisnpx skills add sawrus/agent-guides --skill postmortem-analysisgit clone --depth 1 https://github.com/sawrus/agent-guidesWrote 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/sawrus/agent-guides/postmortem-analysis)<a href="https://agentmods.dev/skills/sawrus/agent-guides/postmortem-analysis"><img src="https://agentmods.dev/badge/skills/sawrus/agent-guides/postmortem-analysis.svg" alt="Measured on agentmods" 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 | $0.00028 | $0.01126 |
| Opus 5 | $0.00014 | $0.00563 |
| Sonnet 5 | $0.00006 | $0.00225 |
| Haiku 4.5 | $0.00003 | $0.00113 |
Grade A, and why
postmortem-analysis 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 4d 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 — 105 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill: Postmortem Analysis
Expertise: Blameless culture, 5-whys root cause analysis, contributing factors, actionable items with owners and due dates.
When to load
When writing a postmortem after a P0/P1 incident, reviewing a draft postmortem, or designing action items.
Postmortem Template
# Postmortem: [Service] — [Date] — [Severity]
**Status:** Draft / In Review / Complete
**Severity:** P0 / P1
**Duration:** [start] → [end] ([total duration])
**Impact:** [N users affected, revenue impact if known, SLO budget consumed: X minutes]
**Incident Commander:** [name]
**Authors:** [name(s)]
---
## Summary
[2–3 sentences: what broke, what caused it, what fixed it]
## Timeline (UTC)
| Time | Event |
|:---|:---|
| 14:22 | Alert fired: HighErrorRate on payment-service |
| 14:24 | On-call acknowledged; war room opened |
| 14:28 | Identified: error correlated with v2.4.1 deploy at 14:05 |
| 14:31 | Mitigation: helm rollback payment-service to revision 3 |
| 14:33 | Error rate returning to baseline |
| 14:40 | Resolved; monitoring |
## Root Cause Analysis (5-Whys)
**Symptom:** Payment service returning 502s at 4.2% rate
1. **Why?** → Upstream credit-card-service returning 503s
2. **Why?** → credit-card-service pods OOMKilled
3. **Why?** → Memory limit was 256Mi; new code path loaded full transaction history into memory
4. **Why?** → Code review missed memory complexity of the new query (no performance test)
5. **Why?** → No memory profiling step in CI; no load test in staging pipeline
**Root cause:** Insufficient memory limit combined with absent memory regression testing.
## Contributing Factors
- [ ] Memory limits not updated with new feature PR
- [ ] Staging environment has lower traffic than production (bug not triggered)
- [ ] No VPA recommendation visible to developers
## What Went Well
- On-call responded in 4 minutes (SLO: 5 min) ✅
- Rollback executed in 2 minutes ✅
- Status page updated within 10 minutes ✅
## What Went Poorly
- Memory issue not caught in staging
- Alert fired 17 minutes after deploy (too slow — alert `for: 2m` but high latency in detection)
- Runbook for OOMKilled did not include memory limit increase steps
## Action Items
| Action | Owner | Priority | Due |
|:---|:---|:---|:---|
| Add memory profiling step to CI (`memory-profiler`) | @dev-team | P1 | 2024-11-22 |
| Add k6 load test to staging pipeline (match prod traffic pattern) | @devops-team | P1 | 2024-11-29 |
| Add VPA in "Off" mode for all services → surface recommendations | @devops-team | P2 | 2024-12-06 |
| Update OOMKilled runbook with memory limit increase steps | @sre-team | P2 | 2024-11-20 |
| Reduce alert `for:` to 1m for payment-service | @sre-team | P3 | 2024-11-20 |
## SLO Impact
- Error budget consumed: 18 minutes (of 201.6 min / 28d budget)
- Budget remaining: 89.1%
- Budget state: 🟢 Healthy
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.
- 4d ago First seen · 105 lines · 28 tokens per session scan A 81123029080b
postmortem-analysis is a skill published in the GitHub repository sawrus/agent-guides (17 stars, last pushed 3d ago), licensed MIT. It adds 28 tokens to every session and 1,126 once invoked, about $0.0001 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 2026-08-30.
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