incident-response

incident-response is a skill for Claude Code, Codex from fmind/dot. It costs 40 tokens per session (1,038 once invoked), scanned A, original, MIT.

A guide for coordinating a live outage, security breach, or service degradation affecting users. It covers command, triage, containment, evidence, communication, rollback, and restoration.

In plain words
What is it for?
Use it to open and classify incidents, assign roles, maintain a timeline, measure blast radius, communicate updates, and verify recovery.
Why use it?
It gives responders a structured way to reduce harm, understand the affected scope, preserve facts, and return the service to a known-safe state.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/fmind/dot/incident-response
Any agent
npx skills add fmind/dot --skill incident-response
Clone the repo
git clone --depth 1 https://github.com/fmind/dot

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for incident-response

README.md
[![agentmods](https://agentmods.dev/badge/skills/fmind/dot/incident-response.svg)](https://agentmods.dev/skills/fmind/dot/incident-response)
Your own site
<a href="https://agentmods.dev/skills/fmind/dot/incident-response"><img src="https://agentmods.dev/badge/skills/fmind/dot/incident-response.svg" alt="Measured on agentmods" height="20"></a>
Per session 40 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,038 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00040 $0.01038
Opus 5 $0.00020 $0.00519
Sonnet 5 $0.00008 $0.00208
Haiku 4.5 $0.00004 $0.00104

Measured yesterday against content hash db6649bf2094, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

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 yesterday.

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.

skills/incident-response/SKILL.md · 44 lines

How it starts

The opening of the file, as written. The whole thing — 44 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Incident Response

Protect users, reduce harm, preserve evidence, and restore a known-safe state during a live incident; production-readiness owns the pre-launch gate and systematic-debugging owns root-cause work once the service is stable.

Workflow

  1. Open the incident: Record UTC start, reporter, affected service and environment, candidate artifact or configuration, first symptom, known user impact, and the incident channel; name one commander, one operator, and one communicator even when one person holds all three, and set the next update time.
  2. Classify severity: Rank actual and plausible harm across availability, integrity, confidentiality, safety, money, legal exposure, scope, duration, and reversibility; escalate on impact, not noise volume.
  3. Keep a timeline: Append observations, hypotheses, decisions, commands, actors, and outcomes with timestamps; keep facts apart from interpretation and preserve original evidence references.
  4. Bound the blast radius: Determine affected tenants, regions, versions, data, workflows, dependencies, and time window; check whether it is still expanding and pick the fastest reliable user-impact signal.
  5. Generate mitigations: Compare rollback, traffic reduction, feature disablement, isolation, capacity increase, dependency bypass, and safe degraded mode; rank by time to relief, reversibility, secondary risk, and proof quality, and prefer the safest reversible mitigation.
  6. Authorize and stabilize: Present the recommended action, exact target, expected signal, abort condition, and rollback before executing; act only within explicit authority, then watch the predeclared health window.
  7. Verify recovery: Confirm critical user journeys, error and saturation signals, data correctness, queued work, security posture, and no continued spread; a quiet alert alone is not recovery.
  8. Communicate: Send concise updates with impact, current state, actions, next checkpoint, and known unknowns. Do not promise recovery times or send external communications without the responsible owner.
  9. Close carefully: End active response only after sustained recovery, cleanup ownership, evidence retention, residual-risk review, and handoff; keep temporary safeguards until their removal has a named test and owner.
  10. Run the postmortem: Hold a blameless review with causal analysis, control gaps, concrete owners, and verification dates; keep the narrative inside the evidence and route security design follow-ups to threat-model.
  11. Maintain the record: Keep one incident document with:
    • severity, impact, scope, current state, role owners, and next update time;
    • the timestamped timeline and working hypotheses with confirming and disconfirming evidence;
    • each mitigation with its authority, target, abort condition, and result, plus recovery checks and observation window;
    • customer, security, legal, and disclosure coordination gaps, and residual risks with owners and due dates.

Read the full file on GitHub · 44 lines

Changes

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.

  1. yesterday First seen · 44 lines · 40 tokens per session scan A db6649bf2094

Subscribe to this mod's changes

incident-response is a skill published in the GitHub repository fmind/dot (4 stars, last pushed yesterday), licensed MIT. It adds 40 tokens to every session and 1,038 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 2026-09-03.