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.
npx skills add lexfrei/ccc --skill worktree-sweepgit clone --depth 1 https://github.com/lexfrei/cccWrote 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/skills/lexfrei/ccc/worktree-sweep)<a href="https://agentmods.dev/skills/lexfrei/ccc/worktree-sweep"><img src="https://agentmods.dev/badge/skills/lexfrei/ccc/worktree-sweep/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/skills/lexfrei/ccc/worktree-sweep"><img src="https://agentmods.dev/badge/skills/lexfrei/ccc/worktree-sweep.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00095 | $0.01285 |
| Opus 5.5 | $0.00038 | $0.00514 |
| Sonnet 5.5 | $0.00019 | $0.00257 |
| Haiku 4.5 | $0.00010 | $0.00128 |
Grade A, and why
worktree-sweep 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 1mo 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 — 96 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Find and remove stale git worktrees, then report reclaimed space.
Operates in report → confirm → execute order. Nothing is removed until the user approves the plan. After approval, perform the removals autonomously. Choices are gathered through interactive questions, not flags.
Step 0: Determine the scan scope (never hardcode paths)
Resolve where to look, in this priority order:
- A path passed in
$ARGUMENTS— use it verbatim as the scan root. - Otherwise, if the current working directory is inside a git repository, ask the user (interactive question) which scope to use:
- this repository only — the repo the current directory belongs to;
- all repositories under the clone root — find the hosting root by walking up to the common ancestor that contains many
<owner>/<repo>directories, and show the resolved root in the question so the user can confirm or correct it.
- If the current directory is not inside a repository and no path was given — ask the user for the directory to scan. Do not assume a default like
~/git.
For multi-repo scope, enumerate repositories by locating each .git directory (a directory, not a gitdir file) under the resolved root.
Step 1: Enumerate worktrees
For each in-scope repository:
git -C "$REPO" worktree list --porcelain
The first entry is the main checkout — never a removal candidate. Every additional entry is a candidate. Also note the current worktree (the one this session runs in, if any) and exclude it.
Step 2: Classify each candidate
For every candidate worktree path $WT:
-
Dirty — uncommitted or untracked changes:
git -C "$WT" status --porcelainA non-empty result means dirty. Inspect what changed before judging (see Step 4).
-
Locked —
git worktree list --porcelainprints alockedline. Read the lock reason. If it embeds a PID (e.g.pid 29180), check whether that process is still alive:ps -p "$PID" >/dev/null 2>&1 && echo live || echo stale
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.
- 1mo ago First seen · 96 lines · 95 tokens per session scan A ad7578300efb
worktree-sweep is a skill published in the GitHub repository lexfrei/ccc (11 stars, last pushed 14d ago), licensed BSD-3-Clause. It adds 95 tokens to every session and 1,285 once invoked, about $0.0004 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 2026-08-31.
Other skills, from other repositories
merge-batch
Prepare and merge an owner-selected PR batch with contributor credit and exact-candidate admission. Use for a pasted PR list; combined focused validation is diagnostic, and every actual landing still requires its applicable checks and authorization.
prowler-commit
Creates professional git commits following conventional-commits format. Trigger: When creating commits, after completing code changes, when user asks to commit.
gh-auth-isolation
Safely manage multiple GitHub identities (EMU + personal) in agent workflows.
comet-github
A routing guide for Comet-related GitHub work. It directs requests about pull requests, issues, CI failures, ideas, and fixes to the appropriate review or implementation process.
release-helper
Ensures configuration and code changes are released correctly. Use PROACTIVELY whenever you edit config.json, change any setting, or fix a configuration bug in this project, so the change reaches production.
github-skill
Work with GitHub via the gh CLI — clone repositories, create/list/merge pull requests, create/list issues, and run any other gh command (API calls, workflow runs, releases, repo administration). List operations return parsed JSON.