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 MotWakorb/ai-agent-dev-team --skill postmortemgit clone --depth 1 https://github.com/MotWakorb/ai-agent-dev-teamWrote 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/motwakorb/ai-agent-dev-team/postmortem)<a href="https://agentmods.dev/skills/motwakorb/ai-agent-dev-team/postmortem"><img src="https://agentmods.dev/badge/skills/motwakorb/ai-agent-dev-team/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/motwakorb/ai-agent-dev-team/postmortem"><img src="https://agentmods.dev/badge/skills/motwakorb/ai-agent-dev-team/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 | $0.00048 | $0.02961 |
| Opus 5.5 | $0.00019 | $0.01184 |
| Sonnet 5.5 | $0.00010 | $0.00592 |
| Haiku 4.5 | $0.00005 | $0.00296 |
Grade A, and why
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 2mo 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 — 265 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Incident Postmortem
Blameless. The question is "what failed?" not "who failed?" If a human error caused the incident, the system that allowed the human error is the root cause. We fix systems, not blame people.
Preflight: Verify Onboarding & Effective Tier
Before any other step, verify deployment-tier setup. Action items from a postmortem should match the affected component's tier — recommending on-call rotations and chaos game days for a home-lab service is not a useful follow-up.
-
Check
COMPONENTS.mdexists at the repo root. If missing, refuse to run and tell the PO:This project hasn't been onboarded yet. Run
/onboardfirst — it producesCOMPONENTS.md, which records each component's deployment tier. Postmortem action items need to match component tiers. See_shared/deployment-tier.mdfor the tier model.Do not proceed.
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Identify the affected component(s) from the incident.
-
Look up tiers in
COMPONENTS.md. If the affected component is missing, ask the PO to add it (with reasoning) before proceeding. -
Resolve cross-tier impact using strictest-wins by default — if the incident affected a startup-tier component, action items align to startup-tier even if the failure originated in a home-lab dependency.
-
Inject tier context into every agent prompt. Every prompt below must additionally include:
Read ~/.claude/skills/_shared/deployment-tier.md. Affected components and tiers: [component] ([tier]), ... Effective tier for action items: [tier] Generate action items at the effective tier. Do not recommend enterprise practices (on-call rotations, formal chaos schedules, audit logging) on home-lab components unless the postmortem itself shows the home-lab framing was the root cause.
Model Selection
When spawning agents, pass model: explicitly per _shared/orchestration.md (Agent Model Selection). For this skill:
- Fact-gathering and timeline construction:
sonnet - Root cause analysis (SRE + relevant personas):
opus— getting the root cause right matters more than getting it cheap
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.
- 2mo ago First seen · 265 lines · 48 tokens per session scan A d56fe8cede61
postmortem is a skill published in the GitHub repository MotWakorb/ai-agent-dev-team (2 stars, last pushed 2mo ago), licensed MIT. It adds 48 tokens to every session and 2,961 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-08-31.
postmortem compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| postmortemMotWakorb/ai-agent-dev-team | Skill | 2 | 2mo ago | MIT | A | 48 | Claude Code |
| systematic-debuggingopen-metadata/OpenMetadata | Skill | 16k | today | Apache-2.0 | A | 37 | Claude Code |
| log-error-digestzebbern/claude-code-guide | Skill | 4.7k | today | MIT | A | 71 | Claude Code, Codex |
| cwv-optimizeradobe/skills | Skill | 319 | today | Apache-2.0 | A | 112 | Claude Code |
| ci-fixersipyourdrink-ltd/bernstein | Skill | 1.2k | today | Apache-2.0 | A | 15 | Claude Code, Codex |
| diagnosing-missing-recordingsPostHog/posthog | Skill | 41k | today | none | A | 76 | Claude Code, Codex |
| loop-engineeringhuytieu/COG-second-brain | Skill | 1.3k | 15d ago | MIT | A | 63 | Claude Code |