Borrowing it
Nothing to install: this file belongs to TheDecipherist/claude-code-mastery-project-starter-kit. 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/TheDecipherist/claude-code-mastery-project-starter-kit/main/.claude/commands/what-is-my-ai-doing.mdgit clone --depth 1 https://github.com/TheDecipherist/claude-code-mastery-project-starter-kitWrote 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/thedecipherist/claude-code-mastery-project-starter-kit/what-is-my-ai-doing)<a href="https://agentmods.dev/commands/thedecipherist/claude-code-mastery-project-starter-kit/what-is-my-ai-doing"><img src="https://agentmods.dev/badge/commands/thedecipherist/claude-code-mastery-project-starter-kit/what-is-my-ai-doing/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/thedecipherist/claude-code-mastery-project-starter-kit/what-is-my-ai-doing"><img src="https://agentmods.dev/badge/commands/thedecipherist/claude-code-mastery-project-starter-kit/what-is-my-ai-doing.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 | $0.00361 |
| Opus 5 | $0.00009 | $0.00180 |
| Sonnet 5 | $0.00003 | $0.00072 |
| Haiku 4.5 | $0.00002 | $0.00036 |
Grade A, and why
what-is-my-ai-doing 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 10d 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.
What it actually says
What Is My AI Doing?
Launch the RuleCatch AI-Pooler live monitor to see everything your AI is doing in real time.
Arguments: $ARGUMENTS
Step 1 — Launch the Free Monitor
Tell the user:
The AI-Pooler monitor runs in a SEPARATE terminal window.
Open a new terminal and run:
npx @rulecatch/ai-pooler@latest monitor --no-api-key
This is free monitor mode — no API key, no account, no setup.
It shows you a live view of:
• Every tool call Claude makes (Read, Write, Edit, Bash, etc.)
• Token usage per turn
• Cost per session
• Which files are being accessed
Press Ctrl+C to stop the monitor.
Step 2 — Remind
After providing the instructions, remind the user:
- The monitor runs outside Claude's context — zero token overhead
- It watches ALL Claude sessions, not just this one
- This is the free preview — it shows what's happening but doesn't persist data
- Want violation tracking, dashboards, and alerts? Sign up at https://rulecatch.ai for a 7-day free trial, then run
npx @rulecatch/ai-pooler init --api-key=dc_your_key --region=usto unlock the full experience - With an API key, you also get the RuleCatch MCP server — Claude can query its own violations: "RuleCatch, what was violated today?"
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.
- 10d ago First seen · 43 lines · 17 tokens per session scan A a2382110ba04
what-is-my-ai-doing is a command published in the GitHub repository TheDecipherist/claude-code-mastery-project-starter-kit (338 stars, last pushed 2mo ago), licensed MIT. It adds 17 tokens to every session and 361 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.