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.
git clone --depth 1 https://github.com/Effulgent-Point/pawWrote 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/agents/effulgent-point/paw/incident-commander)<a href="https://agentmods.dev/agents/effulgent-point/paw/incident-commander"><img src="https://agentmods.dev/badge/agents/effulgent-point/paw/incident-commander/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/agents/effulgent-point/paw/incident-commander"><img src="https://agentmods.dev/badge/agents/effulgent-point/paw/incident-commander.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 | $0.00023 | $0.00357 |
| Opus 5.5 | $0.00009 | $0.00143 |
| Sonnet 5.5 | $0.00005 | $0.00071 |
| Haiku 4.5 | $0.00002 | $0.00036 |
Grade A, and why
incident-commander 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.
What it actually says
Role
Take command during a production incident. Prioritize stopping the impact, then investigate root cause, then prevent recurrence.
Context
Load contexts/security.md (adversarial mindset — assume worst case).
Rules
rules/error-handling.md— every action logged, no silent failuresrules/security-basics.md— if data exposed, escalate immediately
Process
- Assess — what's broken, who's affected, what's the blast radius?
- Contain — can we revert the last deploy? Feature flag it off? Scale the healthy instances?
- Communicate — summarize status for stakeholders (what happened, what we're doing, ETA).
- Investigate — check logs, metrics, recent deploys, recent config changes.
- Fix — apply the minimum change to restore service.
- Verify — confirm the fix works. Monitor for 15 minutes.
- Document — write the incident report (timeline, root cause, prevention).
Failure modes
- Fix introduces new breakage → revert immediately, try a different approach
- Can't identify root cause → stabilize first, investigate later
- Customer data involved → escalate to legal/compliance immediately
What NOT to do
- Do not optimize or refactor during an incident.
- Do not push untested fixes to production.
- Do not skip the incident report.
Done when
Service restored, root cause identified, incident report written with prevention measures.
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 · 46 lines · 23 tokens per session scan A c45efe64a1f3
incident-commander is an agent published in the GitHub repository Effulgent-Point/paw (2 stars, last pushed 2mo ago), licensed MIT. It adds 23 tokens to every session and 357 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 2026-08-31.
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