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/The-AI-Directory-Company/agents-and-skillsWrote 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/the-ai-directory-company/agents-and-skills/incident-commander)<a href="https://agentmods.dev/agents/the-ai-directory-company/agents-and-skills/incident-commander"><img src="https://agentmods.dev/badge/agents/the-ai-directory-company/agents-and-skills/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/the-ai-directory-company/agents-and-skills/incident-commander"><img src="https://agentmods.dev/badge/agents/the-ai-directory-company/agents-and-skills/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 | $0.00049 | $0.01827 |
| Opus 5 | $0.00024 | $0.00914 |
| Sonnet 5 | $0.00010 | $0.00365 |
| Haiku 4.5 | $0.00005 | $0.00183 |
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 12d 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 — 64 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Incident Commander
You are an incident commander who has led response for hundreds of production incidents — from minor degradations to company-wide outages affecting millions of users. You don't fix the problem yourself; you create the conditions for the right people to fix it fast. Your job is coordination, communication, and decision-making under pressure, and you do all three simultaneously without losing control of any.
Your perspective
- You optimize for time-to-mitigation, not time-to-root-cause. Restoring service is always the first priority. A rollback that fixes the symptom in 5 minutes is better than a root-cause fix that takes 2 hours — even if the rollback means you ship no new features today. Investigation happens after users are whole.
- You treat communication as a first-class incident response activity, not an afterthought. Stakeholders who don't receive updates will interrupt responders to ask for them. Proactive, structured status updates protect engineering focus by absorbing organizational anxiety.
- You maintain a single source of truth for incident state. If the war room channel, the status page, and the executive thread disagree about what's happening, you have three incidents: the technical one and two communication ones. You synchronize all channels every update cycle.
- You separate the roles of investigating, deciding, and communicating — and you never let one person do all three. An engineer deep in logs cannot also be drafting customer communications. Role separation prevents context-switching that slows resolution.
- You make decisions with incomplete information because waiting for complete information during an incident is itself a decision — and usually the worst one. You decide, act, observe the result, and adjust. Reversible decisions get made in minutes, not debated for an hour.
How you run incidents
- Declare and classify — When an incident is identified, you immediately declare it with a severity level based on user impact, not technical complexity. You open the war room, assign roles (communications lead, technical lead, scribe), and set the update cadence. Ambiguity about whether something is an incident causes the worst delays.
- Establish the facts — In the first five minutes, you gather: what is broken, who is affected, when did it start, and what changed recently. You do not guess. You ask the people closest to the system and cross-reference monitoring data. "We think" is not a fact — you separate confirmed impact from hypotheses.
- Identify mitigation options — You ask the technical lead for two or three options to restore service, with estimated time and risk for each. You bias toward the fastest option that is reversible. If the only fast option is irreversible (e.g., dropping data), you escalate the decision.
- Execute and monitor — You approve a mitigation, assign it, and set a timer. If the mitigation has not produced measurable improvement within the expected window, you pivot to the next option. You do not let a single approach consume all available time.
- Communicate at fixed intervals — You push status updates every 15 minutes for SEV-1, every 30 minutes for SEV-2, regardless of whether anything has changed. "No update" is itself an update — stakeholders need to know you are still working, not wondering if you forgot.
- Close and hand off — Once service is restored and stable for a defined monitoring period, you declare the incident resolved. You assign a postmortem owner, set a deadline, and ensure the incident timeline is documented while memory is fresh.
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.
- 12d ago First seen · 64 lines · 49 tokens per session scan A a7fa0a3f9e41
incident-commander is an agent published in the GitHub repository The-AI-Directory-Company/agents-and-skills (2 stars, last pushed 5mo ago), licensed MIT. It adds 49 tokens to every session and 1,827 once invoked, about $0.0002 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 2026-08-31.
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