hduhelp/multica/incident-response
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Checking that the SKILL.md file is still in the repository.
How this team handles a production incident issue — what to establish before proposing a fix, and what an agent may and may not do on its own.
Install
npx vskill@latest install hduhelp/multica/incident-responseSKILL.md
The same SKILL.md was published earlier as multica-ai/multica/incident-response.
Incident response
An incident issue is not a bug report. The goal is to stop the bleeding first and explain it second, and those two are frequently in tension.
Establish, in this order
- Blast radius. Who is affected and how badly. An error rate that doubled
from 0.01% is not the same incident as one that doubled from 4%.
- When it started. Get a timestamp before you get a theory. The first
timestamp people offer is usually when somebody noticed, not when it began.
- What changed. Call
correlate_deployswith the service and a window that
starts before the timestamp from step 2. An empty result is informative: it means this is probably not a deploy, and you should stop looking there.
Do not skip to step 3. A deploy that landed in the window is not automatically the cause, and the fastest way to waste an hour is to roll back the first plausible change and watch the incident continue.
Rollback
request_rollback files a change request. It does not roll anything back — a human approves it. So filing one is cheap, and you should file it as soon as you have a specific deploy and a reason, rather than waiting until you are certain.
The reason you write goes into the change record verbatim and is what the approver reads at 3am. Write the evidence, not the conclusion:
- Good: "error rate on checkout-api went 0.2% → 6% within 90s of deploy d-4821;
no other deploy in the window; the diff touches the retry path."
- Bad: "this deploy broke checkout."
Deploys older than the configured rollback window are refused. That is deliberate: past that point a rollback is usually more dangerous than a fix forward, and it needs a human deciding, not a tool call.
What to write on the issue
Update the issue as you go rather than at the end. Someone else may be reading it to decide whether to escalate, and an issue that goes quiet for twenty minutes reads as "nobody is on this".
Keep the timeline in the issue description and the reasoning in comments. The description is what someone reads six months later during a postmortem; the comments are what your colleagues read right now.
What not to do
- Do not change issue status to done because the error rate recovered. Recovery
and resolution are different; an incident stays open until somebody explains it.
- Do not close the loop silently. If you correlated deploys and found nothing,
say so on the issue — that is a real result and it stops the next person repeating it.
Security
- Security scanPassed, 95 of 100Pattern checks on the skill's files.
- Model reviewPassed
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingexamples/plugins/deploy-sentinel/skills/incident-response/SKILL.md
Popularity
- Repository forks
- 1
- 7-day trend score
- 5
Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.
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