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.
git clone --depth 1 https://github.com/danielraffel/generous-corp-marketplaceWrote 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/danielraffel/generous-corp-marketplace/cleanup)<a href="https://agentmods.dev/commands/danielraffel/generous-corp-marketplace/cleanup"><img src="https://agentmods.dev/badge/commands/danielraffel/generous-corp-marketplace/cleanup/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/danielraffel/generous-corp-marketplace/cleanup"><img src="https://agentmods.dev/badge/commands/danielraffel/generous-corp-marketplace/cleanup.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 | $0.00010 | $0.00769 |
| Opus 5 | $0.00005 | $0.00385 |
| Sonnet 5 | $0.00002 | $0.00154 |
| Haiku 4.5 | $0.00001 | $0.00077 |
Grade A, and why
cleanup 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 9d 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 — 108 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Worktree Cleanup Command
Merge worktree changes to main branch and safely remove the worktree.
Usage
/worktree-manager:cleanup <worktree-path> [options]
Options
--merge- Auto-merge to target branch before removing--target=<branch>- Branch to merge into (default: main)--force- Force removal even with uncommitted changes (DANGER: loses changes)--keep-branch- Don't delete feature branch after merge
Instructions for Claude
When user invokes this command:
-
Parse arguments:
- Extract worktree path (required)
- Check for
--mergeflag →auto_merge: true - Extract
--target=<branch>→target_branch: "<branch>" - Check for
--forceflag →force: true - Check for
--keep-branch→delete_branch: false
-
Safety check:
- If
--forceis used, warn user that uncommitted changes will be lost - Ask for confirmation before proceeding
- If
-
Call MCP tool:
- Use
mcp__worktree__worktree_cleanup - Pass all extracted parameters
- Use
-
Display results:
- Show what was done:
- ✅ Merged (if auto_merge was true)
- ✅ Worktree removed
- ✅ Branch deleted (if applicable)
- Display next steps from result
- Show what was done:
-
Error handling:
- If uncommitted changes and no
--force:- Show the error
- List the uncommitted files
- Suggest either:
- Commit/stash changes first
- Use
--forceto discard (with warning)
- If merge conflicts:
- Explain the conflict
- Provide manual resolution steps
- If uncommitted changes and no
-
Format example:
Cleaning up worktree: ~/worktrees/feature-name ✅ Merged feature/feature-name into main ✅ Worktree removed ✅ Branch feature/feature-name deleted Next steps: Push to remote: git push origin main
Examples
Remove without merge:
User: /worktree-manager:cleanup ~/worktrees/old-feature
Claude: [Removes worktree, keeps branch]
Merge and remove:
User: /worktree-manager:cleanup ~/worktrees/completed-feature --merge
Claude: [Merges to main, removes worktree, deletes branch]
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.
- 9d ago First seen · 108 lines · 10 tokens per session scan A 36b72e55fb81
cleanup is a command published in the GitHub repository danielraffel/generous-corp-marketplace (11 stars, last pushed 10d ago), licensed MIT. It adds 10 tokens to every session and 769 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.
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