SKILLEMALL.ai

BF skill-git

Version control for AI agent skills. Use when the user wants to initialize, commit, revert, check, scan, or merge their skills. Triggers on: "init my skills", "track skills", "commit skill changes", "save skill snapshot", "new skill version", "revert skill", "roll back skill", "undo skill changes", "restore skill", "check skill conflicts", "validate skill", "scan skills", "find overlapping skills", "merge skills", "combine skills".

ClawHub Agent Skills author: Wen Licheng v0.2.2 MIT-0 10 files · 1 script body ≈ 799 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process F 52/100 · Will not run — References files that are not bundled: assets/rule-extraction/SKILL.md, assets/conflict-patterns/SKILL.md

AnalyzerSoftware developmentAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
86/100
safety, quality, tests
Safety 60%
99
Quality 40%
67
Run on models
none yet
Process rating
F
52/100
Will not run
References files that are not bundled: assets/rule-extraction/SKILL.md, assets/conflict-patterns/SKILL.md
Tools and files w 18
0
Result and completion w 14
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

How to improve

  1. The text references files that are not there: add them or drop the references.
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 · 1

✓ No critical or high findings

Medium and low: 1
  • low Risky intent intent-offensive-security check.md:286
    Offensive-security / dual-use content (legitimate for authorised testing; review intended use) (detector / deny-list definition)
    Apply security pattern detection to `skill_rules` alone (prompt injection, data exfiltration, privilege escalation).
    detector

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

Against the Agent Skills spec

  • warning frontmatter-yaml SKILL.md: the frontmatter is not valid YAML (YAML parse error: Nested mappings are not allowed in compact mappings at line 2, column 14: description: Version control for AI agent skills. Use when the user wants to in… ^ ); fields were read line by line. The usual cause is a colon inside an unquoted value
  • warning missing-ref reference to a missing file: assets/rule-extraction/SKILL.md
  • warning missing-ref reference to a missing file: assets/conflict-patterns/SKILL.md

Process rating: all ten parameters 52/100

Will not run. References files that are not bundled: assets/rule-extraction/SKILL.md, assets/conflict-patterns/SKILL.md
  • 0Tools and files. 2 referenced file(s) missing: assets/rule-extraction/SKILL.md, assets/conflict-patterns/SKILL.md
  • 0Result and completion. Does not say what the result is
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 6 mutating operations with no state check
  • 60Failures and branches. 2 branches
  • 70When it triggers. States when to use, but not when not to
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Steps. 10 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 799 tokens

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

  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • -31 of 1 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 15 example trigger phrases
  • +3Description length 435: enough signal without eating the budget
  • +4Structure: 4 headings
  • +3Step-by-step instructions: 10 items
  • +4Has examples (1 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 67.

External checks

ClawHub: suspicious
This skill mostly matches its purpose, but it can make broad local changes to skill folders and has file-handling gaps that could commit sensitive files or write outside the intended skills directory.
LLM: suspicious (medium) · VirusTotal: · 29 May 2026