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 Arvo-AI/aurora --skill postmortemgit clone --depth 1 https://github.com/Arvo-AI/auroraWrote 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/arvo-ai/aurora/postmortem)<a href="https://agentmods.dev/skills/arvo-ai/aurora/postmortem"><img src="https://agentmods.dev/badge/skills/arvo-ai/aurora/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/arvo-ai/aurora/postmortem"><img src="https://agentmods.dev/badge/skills/arvo-ai/aurora/postmortem.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00023 | $0.00650 |
| Opus 5.5 | $0.00009 | $0.00260 |
| Sonnet 5.5 | $0.00005 | $0.00130 |
| Haiku 4.5 | $0.00002 | $0.00065 |
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 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 — 84 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Postmortem Tools
Overview
Core tools for reading postmortem documents during investigation, and writing them during the dedicated "Generate Postmortem" action. get_postmortem is available in all sessions. save_postmortem is only available during the "Generate Postmortem" action — not during RCA.
Tools
get_postmortem(incident_id)
Read the current postmortem for an incident. Returns markdown content, generated_at, and updated_at timestamps. Returns status: "not_found" if no postmortem exists yet. Only the latest version is returned; historical versions are browsable in the UI but not via this tool.
save_postmortem(incident_id, content)
Write or update a postmortem. Only available during the "Generate Postmortem" action — not during RCA. Each save automatically snapshots the previous content as a version for history tracking. Content must be complete markdown — partial updates are not supported. Max 100,000 characters.
Workflow
- Call
get_postmortem— if a prior version exists, use it as a baseline to preserve structure and confirmed facts - Gather context from RCA summary and connected communication platforms (Slack, etc.)
- Write structured markdown following the output format below
- Call
save_postmortem
Output Format
Always generate postmortems with these sections in order:
# Postmortem: <Incident Title>
**Date:** YYYY-MM-DD HH:MM UTC
**Duration:** Xh Ym
**Severity:** critical/high/medium/low
**Service:** <service name>
## Summary
2-3 sentences describing what happened.
## Timeline
- **HH:MM UTC** - Event description
- **HH:MM UTC** - Event description
## Root Cause
Technical explanation of what failed and why.
## Impact
Services, users, SLAs, and data affected.
## Contributing Factors
Human/process factors: deployment pressure, alert fatigue, communication gaps, handoff confusion.
Only include if evidence exists from conversations.
## Resolution
How the incident was resolved or mitigated.
## Action Items
- [ ] Concrete follow-up item
- [ ] Another follow-up item
## Lessons Learned
What can prevent similar incidents in the future.
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 · 84 lines · 23 tokens per session scan A ad3409a09384
postmortem is a skill published in the GitHub repository Arvo-AI/aurora (436 stars, last pushed 2d ago), licensed Apache-2.0. It adds 23 tokens to every session and 650 once invoked, about $0.0001 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 2026-08-30.
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