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AD ia-git-worktree

Manage Git worktrees for isolated parallel development. Use when creating, listing, switching, or cleaning up git worktrees, or when needing isolated branches for concurrent reviews or feature work.

ClawHub Agent Skills author: Ilia Alshanetsky v4.5.2 MIT-0 8 files · 1 script body ≈ 2 181 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

As a process D 45/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

AnalyzerSoftware developmenttype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
A
94/100
safety, quality, tests
Safety 60%
97
Quality 40%
90
Run on models
none yet
Process rating
D
45/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

How to improve

    For the model run — optional
    • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
    • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

    Guard findings · 3

    ✓ No critical or high findings

    Medium and low: 3
    • low Exfiltration read-dotenv scripts/worktree-manager.sh:63
      Reads a .env file (code comment)
      # Copy .env files from main repo to worktree
      comment
    • low Exfiltration read-dotenv scripts/worktree-manager.sh:306
      Reads a .env file
      copy-env | env [name]               Copy .env files from main repo to worktree
    • low Exfiltration read-dotenv SKILL.md:45
      Reads a .env file
      | `copy-env <name>` | Copy .env files to existing worktree | `...worktree-manager.sh copy-env feature-login` |

    Files scanned: 8. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "class"

    Process rating: all ten parameters 45/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Progress reporting. Says nothing while it works
    • 20When it triggers. No condition that starts the skill
    • 30Running it twice. 29 mutating operations with no state check
    • 40Consistency. Frontmatter name (ia-git-worktree) differs from the folder (compound-eng-git-worktree)
    • 60Tools and files. Uses tools (bash, web, git, python, node) that frontmatter does not declare
    • 60Failures and branches. 2 branches
    • 100Steps. 25 steps
    • 100Execution cost. Instruction body is 2181 tokens
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
    • high The skill tells the model to perform an irreversible action with no human approval
    • low The response is described with custom markup (16 tags): a typed call is more reliable

    Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

    Quality signals

    • +5Description has no quoted example phrases that should trigger the skill
    • +4Description does not say when NOT to use the skill (false activations)
    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +3Description length 198: enough signal without eating the budget
    • +4Structure: 9 headings
    • +3Step-by-step instructions: 25 items
    • +4Has examples (1 code blocks)
    • +4Reference files are cited in the instructions (4 of 4)
    • +3All 1 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 90.

    External checks

    ClawHub: suspicious
    This worktree skill is not malicious, but it needs review because it automatically duplicates `.env` files into new worktrees and then encourages dependency installation there.
    LLM: suspicious (high) · 8 Sept 2026