SKILLEMALL.ai

AC cosmetic-compliance-check

Deterministic legal compliance verification for cosmetic formulations against EU CosIng regulations. Resolves trade names to INCI standards.

ClawHub Agent Skills author: chicory v0.1.8 MIT-0 2 files body ≈ 873 tokens Open the sourceclawhub.ai analyzed 9 h ago

Deterministic legal compliance verification for cosmetic formulations against EU CosIng regulations.

As a process C 63/100 · Has gaps — weak spots: inputs and preconditions, consistency, running it twice

AnalyzerSecuritytype and topics are labelled automatically from the skill text
JSON
Technical rating
A
93/100
safety, quality, tests
Safety 60%
99
Quality 40%
84
Run on models
none yet
Process rating
C
63/100
Has gaps
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 · 1

    ✓ No critical or high findings

    Medium and low: 1
    • low Secrets in code secret-high-entropy-token SKILL.md:7
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      payment_address: "49F8…Gft"
      quoted

    Files scanned: 2. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "protocol"
    • note frontmatter-key unknown frontmatter key "price_per_check"
    • note frontmatter-key unknown frontmatter key "payment_address"
    • note frontmatter-key unknown frontmatter key "endpoint"

    Process rating: all ten parameters 63/100

    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Progress reporting. Says nothing while it works
    • 30Running it twice. 1 mutating operations with no state check
    • 40Consistency. Frontmatter name (cosmetic-compliance-check) differs from the folder (complicheck-skill)
    • 50Failures and branches. 0 branches, has a failure section
    • 60Result and completion. Output format stated, no completion criterion
    • 70When it triggers. States when to use, but not when not to
    • 85Steps. 9 steps, 1 vague phrases
    • 100Tools and files. No external tools needed
    • 100Execution cost. Instruction body is 873 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

    • +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 140: enough signal without eating the budget
    • +4Structure: 10 headings
    • +3Step-by-step instructions: 9 items
    • +3Output format is stated explicitly
    • +4Has examples (6 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 84.

    External checks

    ClawHub: clean
    This skill is a disclosed paid API wrapper for cosmetic ingredient compliance checks, with no bundled executable code or hidden persistence.
    LLM: benign (high) · VirusTotal: · 13 Sept 2026