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BD skillsync

Git-based version control for AI Agent Skills — detect, review, save, and restore Skill changes.

ClawHub Agent Skills author: Johnson v0.1.0 MIT-0 21 files · 2 scripts body ≈ 537 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

Git-based version control for AI Agent Skills — detect, review, save, and restore Skill changes.

As a process D 41/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

AnalyzerSoftware developmentAI and agentstype 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
B
76/100
safety, quality, tests
Safety 60%
83
Quality 40%
65
Run on models
none yet
Process rating
D
41/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Dangerous commands medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The skill contains commands that delete files, rewrite disks or execute code fetched from the network. The agent may run them without asking if it believes the instructions require it.

For the author

Replace destructive commands with safe equivalents that ask for confirmation, scope them to one folder, and stop piping curl into a shell: pin a version and a checksum.

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
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 · 5

✓ No critical or high findings

Medium and low: 5
  • medium Dangerous commands cmd-pipe-to-shell-known-host README.md:169
    Pipe-to-shell installer from a well-known host (still executes remote code)
    curl -fsSL https://raw.githubusercontent.com/johnsonbuilds/skillsync/main/install.sh | sh
  • medium Dangerous commands cmd-pipe-to-shell-known-host README.zh-CN.md:166
    Pipe-to-shell installer from a well-known host (still executes remote code)
    curl -fsSL https://raw.githubusercontent.com/johnsonbuilds/skillsync/main/install.sh | sh
  • medium Dangerous commands cmd-pipe-to-shell-known-host SKILL.md:34
    Pipe-to-shell installer from a well-known host (still executes remote code)
    curl -fsSL https://raw.githubusercontent.com/johnsonbuilds/skillsync/main/install.sh | sh
  • low Dangerous commands cmd-execpolicy-bypass install.ps1:7
    Runs PowerShell with execution policy bypassed (code comment)
    #   powershell -ExecutionPolicy Bypass -File .\install.ps1
    comment
  • low Dangerous commands cmd-pipe-to-shell-known-host install.sh:5
    Pipe-to-shell installer from a well-known host (still executes remote code) (code comment)
    #   curl -fsSL https://raw.githubusercontent.com/johnsonbuilds/skillsync/main/install.sh | sh
    comment

Files scanned: 15. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • note frontmatter-key unknown frontmatter key "homepage"

Process rating: all ten parameters 41/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 6 mutating operations with no state check
  • 60Tools and files. Uses tools (bash, web, git, python) that frontmatter does not declare
  • 85Steps. 9 steps, 1 vague phrases
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 537 tokens
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

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)
  • +3Description length 96: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • -42 reference files, but SKILL.md never points to them: the model will not open them
  • +2Single-language instructions
  • +4Structure: 11 headings
  • +3Step-by-step instructions: 9 items
  • +4Has examples (8 code blocks)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 65.

External checks

ClawHub: suspicious
SkillSync is a coherent skill-versioning tool, but its installer and sync behavior create review-worthy supply-chain and accidental data-upload risks.
LLM: suspicious (high) · 9 Sept 2026