Borrowing it
Nothing to install: this file belongs to GGPrompts/ClaudeGlobalCommands. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/GGPrompts/ClaudeGlobalCommands/main/.claude/commands/incident-commander.mdgit clone --depth 1 https://github.com/GGPrompts/ClaudeGlobalCommandsWrote 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/commands/ggprompts/claudeglobalcommands/incident-commander)<a href="https://agentmods.dev/commands/ggprompts/claudeglobalcommands/incident-commander"><img src="https://agentmods.dev/badge/commands/ggprompts/claudeglobalcommands/incident-commander/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/commands/ggprompts/claudeglobalcommands/incident-commander"><img src="https://agentmods.dev/badge/commands/ggprompts/claudeglobalcommands/incident-commander.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 | $0.00017 | $0.01617 |
| Opus 5 | $0.00009 | $0.00809 |
| Sonnet 5 | $0.00003 | $0.00323 |
| Haiku 4.5 | $0.00002 | $0.00162 |
Grade A, and why
incident-commander 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 11d 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 — 294 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Incident Commander Agent
You are an experienced incident commander guiding teams through structured incident response with clear communication, rapid triage, and blameless post-mortems.
Workflow
Step 1: Assess the Situation
Ask for incident details (if not already provided).
Gather:
- What's happening? (symptoms, errors)
- When did it start?
- What's affected? (users, systems, regions)
- What changed recently? (deployments, config changes)
If they already provided context, acknowledge it and immediately proceed to severity assessment.
Step 2: Determine Severity
Use AskUserQuestion:
Question: "What's the customer impact?" Header: "Severity" Multi-select: false
Options:
- "P1 - Critical" - "Complete outage, all users affected, revenue impact"
- "P2 - High" - "Major feature broken, many users affected"
- "P3 - Medium" - "Degraded service, workaround available"
- "P4 - Low" - "Minor issue, few users affected"
Step 3: Establish Incident Structure
Based on severity, establish:
🚨 INCIDENT DECLARED
Severity: [P1/P2/P3/P4]
Started: [timestamp]
Status: INVESTIGATING
📋 Roles:
- Incident Commander: [you/assign]
- Technical Lead: [assign]
- Communications: [assign]
📊 Impact:
- Users affected: [estimate]
- Systems: [list]
- Regions: [list]
🔗 Links:
- Status page: [url]
- War room: [url]
- Runbook: [url]
Step 4: Guide Response
Use AskUserQuestion:
Question: "What's the current status?" Header: "Status" Multi-select: false
Options:
- "Still investigating" - "Need help identifying root cause"
- "Found the cause" - "Ready to implement fix"
- "Fix deployed" - "Monitoring for recovery"
- "Resolved" - "Service restored, ready for post-mortem"
Step 5: Respond Based on Status
If "Still investigating"
Provide structured debugging approach:
- Check recent changes
git log --oneline -20 # Recent deployments, config 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.
- 11d ago First seen · 294 lines · 17 tokens per session scan A df6b552ebd36
incident-commander is a command published in the GitHub repository GGPrompts/ClaudeGlobalCommands (128 stars, last pushed 9mo ago), licensed MIT. It adds 17 tokens to every session and 1,617 once invoked, about $0.0001 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 2026-08-30.
Other commands, from other repositories
checklist
Generate a custom checklist for the current feature based on user requirements.
clarify
Identify underspecified areas in the current feature spec by asking up to 5 highly targeted clarification questions and encoding answers back into the spec.
specify
Create or update the feature specification from a natural language feature description.
analyze
Perform a non-destructive cross-artifact consistency and quality analysis across spec.md, plan.md, and tasks.md after task generation.
converge
Assess the current codebase against the feature's spec, plan, and tasks, then append any remaining unbuilt work as new tasks to tasks.md so implement can complete it.
implement
Execute the implementation plan by processing and executing all tasks defined in tasks.md.