SKILLEMALL.ai

AB skill-audit

Audit and score OpenClaw AgentSkills against structural compliance, quality standards, and OpenClaw-specific architecture patterns. Produces a 0-100 score with A-F grade, dimensional breakdown, and actionable improvement recommendations. Use when asked to audit, score, validate, check, or evaluate a skill or SKILL.md. Keywords: skill audit, skill score, skill check, skill validate, 스킬 검증, 스킬 점수, 스킬 평가, 스킬 감사, 스킬 점검, スキル検証, スキル採点, スキル評価, スキル監査, 技能验证, 技能评分, 技能检查, 技能审计. validate skill, skill quality, 스킬 품질.

ClawHub Agent Skills author: haseo-ai v1.0.0 MIT-0 11 files body ≈ 2 237 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process B 65/100 · Nearly there — weak spots: inputs and preconditions, consistency, running it twice

AnalyzerAI and agentsSecurityInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
96/100
safety, quality, tests
Safety 60%
100
Quality 40%
91
Run on models
none yet
Process rating
B
65/100
Nearly there
Inputs and preconditions w 11
0
Progress reporting w 2
0
Running it twice w 4
30
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 · 0

    ✓ No critical or high findings

    Files scanned: 11. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 65/100

    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Progress reporting. Says nothing while it works
    • 30Running it twice. 2 mutating operations with no state check
    • 40Consistency. Frontmatter name (skill-audit) differs from the folder (oc-skill-audit)
    • 50When it triggers. No condition that starts the skill
    • 60Result and completion. Output format stated, no completion criterion
    • 70Failures and branches. 4 branches
    • 100Tools and files. No external tools needed
    • 100Steps. 32 steps
    • 100Execution cost. Instruction body is 2237 tokens
    • low 13 top-level sections: this looks like several domains in one skill

    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)
    • +1No license
    • +2Single-language instructions
    • +3Description length 509: enough signal without eating the budget
    • +4Structure: 18 headings
    • +3Step-by-step instructions: 32 items
    • +3Output format is stated explicitly
    • +4Has examples (4 code blocks)
    • +4Reference files are cited in the instructions (1 of 4)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 91.

    External checks

    ClawHub: clean
    This is a markdown-only skill quality auditor whose local file reads and report saving match its stated purpose.
    LLM: benign (high) · VirusTotal: · 28 May 2026