cleanup-github-worktree

A narrowly scoped guide for removing old GitHub-related git worktrees. A worktree is another working directory linked to the same Git repository.

In plain words
What is it for?
Use it only when the user asks to clean up, delete, remove, or reclaim unused GitHub worktrees or old branches.
Why use it?
It prevents unused worktrees and their branches from accumulating, while limiting cleanup to cases where the user explicitly asks for it.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/tencentblueking/bk-ci/cleanup-github-worktree
Any agent
npx skills add TencentBlueKing/bk-ci --skill cleanup-github-worktree
Clone the repo
git clone --depth 1 https://github.com/TencentBlueKing/bk-ci

Made for: Claude Code, Codex.

Per session 61 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,058 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin unknown No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00061 $0.01058
Opus 5 $0.00030 $0.00529
Sonnet 5 $0.00012 $0.00212
Haiku 4.5 $0.00006 $0.00106

Measured yesterday against content hash 70d0ce24ef30, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

cleanup-github-worktree 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 yesterday.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/cleanup-worktree.ps1, scripts/cleanup-worktree.sh), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

ai/skills/cleanup-github-worktree/SKILL.md · 99 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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.

  1. yesterday First seen · 99 lines · 61 tokens per session scan A 70d0ce24ef30

Subscribe to this mod's changes

cleanup-github-worktree is a skill published in the GitHub repository TencentBlueKing/bk-ci (2,525 stars, last pushed 3d ago), with no licence file. It adds 61 tokens to every session and 1,058 once invoked, about $0.0003 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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