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 saolalab/clawforce --skill incident-responsegit clone --depth 1 https://github.com/saolalab/clawforceWrote 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/saolalab/clawforce/incident-response)<a href="https://agentmods.dev/skills/saolalab/clawforce/incident-response"><img src="https://agentmods.dev/badge/skills/saolalab/clawforce/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/saolalab/clawforce/incident-response"><img src="https://agentmods.dev/badge/skills/saolalab/clawforce/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 | $0.00031 | $0.01174 |
| Opus 5.5 | $0.00012 | $0.00470 |
| Sonnet 5.5 | $0.00006 | $0.00235 |
| Haiku 4.5 | $0.00003 | $0.00117 |
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 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 — 180 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Incident Response
Systematic framework for detecting, triaging, mitigating, and resolving incidents.
Severity Levels
| Severity | Description | Response Time | Example |
|---|---|---|---|
| SEV1 | Service down, data loss, security breach | < 15 minutes | Database unavailable, authentication broken |
| SEV2 | Major degradation, partial outage | < 1 hour | API latency > 5s, 50% of users affected |
| SEV3 | Minor degradation, non-critical | < 4 hours | Single feature broken, workaround available |
| SEV4 | Cosmetic, non-user-facing | < 1 business day | UI typo, non-critical log errors |
Incident Commander Checklist
When leading an incident:
- Declare incident — Create incident channel, assign severity, notify stakeholders
- Assess impact — Affected services, user count, business impact
- Form response team — Assign roles (commander, scribe, engineers)
- Establish timeline — Document all actions and observations
- Mitigate — Take immediate actions to restore service
- Communicate — Send status updates every 15-30 minutes
- Resolve — Verify fix, monitor for stability
- Postmortem — Schedule within 48 hours, document learnings
Communication Templates
Initial Incident Alert
🚨 SEV{1-4} Incident: {Service Name} - {Brief Description}
Impact: {User count / % of traffic / Business impact}
Status: Investigating
Timeline:
- {Time} - Incident detected
- {Time} - Response team assembled
Next update in 15 minutes.
Status Update
📊 SEV{1-4} Update: {Service Name}
Status: {Investigating / Mitigating / Resolved}
Impact: {Updated impact assessment}
Actions taken:
- {Action 1}
- {Action 2}
Next update: {Time}
Customer Communication (for SEV1/SEV2)
We're currently experiencing issues with {Service Name} that may affect {specific functionality}.
We're actively working on a fix and will provide updates every {interval}.
Status page: {URL}
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 · 180 lines · 31 tokens per session scan A 2faa5d71113c
incident-response is a skill published in the GitHub repository saolalab/clawforce (38 stars, last pushed 6mo ago), licensed Apache-2.0. It adds 31 tokens to every session and 1,174 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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