incident-response

incident-response is a skill for Claude Code, Codex from makifbaysal/tasktrooper. It costs 37 tokens per session (722 once invoked), scanned A, original, Apache-2.0.

A procedure for investigating and fixing a live production incident, which is an unexpected problem affecting a running service.

In plain words
What is it for?
Use it to classify an incident, find its likely cause and either suggest or apply a documented fix according to the task policy.
Why use it?
It replaces guesswork with a review of the alert, environment, deployments, logs and runtime errors before proposing a remedy.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to classify an incident, find its likely cause and either suggest or apply a documented fix according to the task policy.

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Install with agentmods
npx agentmods add skills/makifbaysal/tasktrooper/incident-response
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.

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

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/makifbaysal/tasktrooper/incident-response/github.svg)](https://agentmods.dev/skills/makifbaysal/tasktrooper/incident-response)
Your own site
<a href="https://agentmods.dev/skills/makifbaysal/tasktrooper/incident-response"><img src="https://agentmods.dev/badge/skills/makifbaysal/tasktrooper/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.

agentmods 80×15 button for incident-response

Your own site · 80×15
<a href="https://agentmods.dev/skills/makifbaysal/tasktrooper/incident-response"><img src="https://agentmods.dev/badge/skills/makifbaysal/tasktrooper/incident-response.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 37 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 722 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00037 $0.00722
Opus 5.5 $0.00015 $0.00289
Sonnet 5.5 $0.00007 $0.00144
Haiku 4.5 $0.00004 $0.00072

Measured 8d ago against content hash 1dd229beeafc, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, 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 8d 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.

catalog/agents/backend-developer/skills/incident-response/SKILL.md · 26 lines

How it starts

The opening of the file, as written. The whole thing — 26 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Incident response

A task titled Incident: … is a live production problem, assigned to you by the system. Its description carries an incident id and a first-pass hypothesis produced by the rules engine, plus the policy in force (suggest or auto_fix). That hypothesis is a starting point, not a verdict.

Order of work

  1. Read the incident first. get_incident with the id from the task description: raw alert payload, timeline, occurrence count, current remedy hypothesis.
  2. Correlate with the tools you hold. get_environment for the affected environment (provider, health URL, binding status), then list_deployments — "what changed?" answers most incidents. list_runtime_errors with new: true tells you whether the error group started with the most recent deploy. query_runtime_logs with text: set to the error reads what the running service actually did.
  3. Classify. Config/credentials, dependency, capacity, or code defect. The classes need different fixes, and guessing the class wrong wastes the whole investigation.
  4. Write the remedy. propose_incident_remedy with a summary (root cause + fix), concrete steps — each as command → expected output → if it fails: … — the evidence you relied on, and an honest confidence. Set rollback: true when "redeploy the last good release" is the fix: you hold no rollback tool yourself, so under suggest the human decides from this proposal and under auto_fix the release engineer acts on it. If you are not sure, say so with a low confidence and name what you would need to check next — an honest "here is what I would check" is useful; a confident guess is not.
  5. Act per policy.
    • suggest (default): do NOT change production code. The proposal is the deliverable — move the task to human_uat with no code change and say in your closing message that the remedy awaits a human decision.
    • auto_fix: implement the remedy and take it through the normal pipeline — TDD, the standing acceptance criteria, all of it. A hotfix that skips them causes the next incident.
  6. Resolve only after verifying recovery. resolve_incident only after get_environment / list_runtime_errors show the environment is actually healthy again, with the note naming that evidence. Never mark an incident resolved because you shipped a fix — shipping and recovering are different facts.

Read the full file on GitHub · 26 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. 8d ago First seen · 26 lines · 37 tokens per session scan A 1dd229beeafc

Subscribe to this mod's changes

incident-response is a skill published in the GitHub repository makifbaysal/tasktrooper (113 stars, last pushed yesterday), licensed Apache-2.0. It adds 37 tokens to every session and 722 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 2026-10-05.

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