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 w95/awesome-claude-corporate-skills --skill incident-responsegit clone --depth 1 https://github.com/w95/awesome-claude-corporate-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/skills/w95/awesome-claude-corporate-skills/incident-response)<a href="https://agentmods.dev/skills/w95/awesome-claude-corporate-skills/incident-response"><img src="https://agentmods.dev/badge/skills/w95/awesome-claude-corporate-skills/incident-response/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/w95/awesome-claude-corporate-skills/incident-response"><img src="https://agentmods.dev/badge/skills/w95/awesome-claude-corporate-skills/incident-response.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 | $0.00051 | $0.00328 |
| Opus 5 | $0.00026 | $0.00164 |
| Sonnet 5 | $0.00010 | $0.00066 |
| Haiku 4.5 | $0.00005 | $0.00033 |
Grade A, and why
incident-response 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 9d 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
Incident Response
Guide incident response from detection through resolution and postmortem.
Severity Classification
| Level | Criteria | Response Time |
|---|---|---|
| SEV1 | Service down, all users affected | Immediate, all-hands |
| SEV2 | Major feature degraded, many users affected | Within 15 min |
| SEV3 | Minor feature issue, some users affected | Within 1 hour |
| SEV4 | Cosmetic or low-impact issue | Next business day |
Response Framework
- Triage: Classify severity, identify scope, assign incident commander
- Communicate: Status page, internal updates, customer comms if needed
- Mitigate: Stop the bleeding first, root cause later
- Resolve: Implement fix, verify, confirm resolution
- Postmortem: Blameless review, 5 whys, action items
Communication Templates
Provide clear, factual updates at regular cadence. Include: what's happening, who's affected, what we're doing, when the next update is.
Postmortem Format
Blameless. Focus on systems and processes. Include timeline, root cause analysis (5 whys), what went well, what went poorly, and action items with owners and due dates.
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.
- 9d ago First seen · 34 lines · 51 tokens per session scan A 798b5d9d5611
incident-response is a skill published in the GitHub repository w95/awesome-claude-corporate-skills (198 stars, last pushed 6mo ago), licensed MIT. It adds 51 tokens to every session and 328 once invoked, about $0.0003 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 2026-09-03.
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