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 event4u-app/agent-config --skill blameless-post-mortemgit clone --depth 1 https://github.com/event4u-app/agent-configWrote 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/event4u-app/agent-config/blameless-post-mortem)<a href="https://agentmods.dev/skills/event4u-app/agent-config/blameless-post-mortem"><img src="https://agentmods.dev/badge/skills/event4u-app/agent-config/blameless-post-mortem/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/event4u-app/agent-config/blameless-post-mortem"><img src="https://agentmods.dev/badge/skills/event4u-app/agent-config/blameless-post-mortem.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 | $0.01909 |
| Opus 5.5 | $0.00019 | $0.00764 |
| Sonnet 5.5 | $0.00010 | $0.00382 |
| Haiku 4.5 | $0.00005 | $0.00191 |
Grade A, and why
blameless-post-mortem 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 1mo 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 — 198 lines — stays where its author put it; the contents beside it link to each section on GitHub.
blameless-post-mortem
Facilitate a blame-free post-mortem after an incident or near-miss. Consumes the
incident-commanderskeleton, derives or fills the root cause, writes the corrective-action plan, and drafts anincident-learningsmemory candidate. Systems and processes are examined — never individuals.
When to use
- An incident or outage is resolved and the team needs a structured write-up.
- A near-miss happened and a post-mortem is being drafted (near-miss mode — same flow, different severity framing).
- The
incident-commanderhands off a post-mortem skeleton (empty root cause is accepted — do not block on it). - German triggers: "Post-mortem", "Nachbesprechung", "was ist schiefgelaufen?", "Vorfallsanalyse".
Do NOT use when:
- The incident is still active — route to
incident-commanderfirst. - The goal is root-cause analysis only, no write-up needed — route
to
root-cause-frameworks. - The concern is a future risk, not a past event — route to
risk-officer.
Procedure
1. Consume the incident-commander skeleton
Read the incoming skeleton. Per
docs/contracts/analysis-memory-loop.md § 5:
- Accept any skeleton, complete or not.
- Extract:
SEV,State,Started,Timeline,Mitigation,Root cause(may beunknownor TBD). - Do NOT stall or reject on an empty root cause.
If no skeleton is provided, reconstruct from the user's description: severity, timeline, impact, mitigation state.
2. Derive the root cause (if unresolved)
If root cause is unknown or TBD, invoke
root-cause-frameworks. That
skill returns ranked candidates with confidence levels — do NOT force
a verdict. If root cause remains unresolved after the analysis pass,
mark the post-mortem status: draft and continue. A draft post-mortem
can still produce memory candidates (note the open question in the
candidate summary).
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 1mo ago First seen · 198 lines · 48 tokens per session scan A 916c2a0ff401
blameless-post-mortem is a skill published in the GitHub repository event4u-app/agent-config (12 stars, last pushed yesterday), licensed MIT. It adds 48 tokens to every session and 1,909 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.
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