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 5.5 | $0.00007 | $0.00144 |
| Sonnet 5.5 | $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 2mo 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.
- 2mo 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 (342 stars, last pushed 4mo ago), licensed MIT. It adds 17 tokens to every session and 361 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 2026-08-30.
what-is-my-ai-doing compared with commands from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| what-is-my-ai-doingTheDecipherist/claude-code-mastery-project-starter-kit | Command | 342 | 4mo ago | MIT | A | 17 | Claude Code |
| checklistgithub/spec-kit | Command | 148k | yesterday | MIT | A | 13 | Claude Code |
| clarifygithub/spec-kit | Command | 148k | yesterday | MIT | A | 27 | Claude Code |
| specifygithub/spec-kit | Command | 148k | yesterday | MIT | A | 13 | Claude Code |
| analyzegithub/spec-kit | Command | 148k | yesterday | MIT | A | 26 | Claude Code |
| convergegithub/spec-kit | Command | 148k | yesterday | MIT | A | 35 | Claude Code |
| implementgithub/spec-kit | Command | 148k | yesterday | MIT | A | 14 | Claude Code |