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Instant rug pull detection for any token. Holder concentration, liquidity locks, contract risks. DYOR before you ape. Works with AI agents.

ClawHub Agent Skills author: Next Frontier AI v1.1.2 4 files · 1 script body ≈ 723 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process D 47/100 · Unfinished process — weak spots: steps, when it triggers, inputs and preconditions

AnalyzerInfrastructureAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
88/100
safety, quality, tests
Safety 60%
97
Quality 40%
74
Run on models
none yet
Process rating
D
47/100
Unfinished process
Steps w 15
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

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 · 3

✓ No critical or high findings

Medium and low: 3
  • low Exfiltration net-credential-use scripts/scan.sh:15
    Credential used in a network call (verify the destination is the intended service) (documentation of a security skill)
    analyze=$(curl -s "$PRISM_URL/analyze/$TOKEN")
    security skill
  • low Exfiltration net-credential-use scripts/scan.sh:16
    Credential used in a network call (verify the destination is the intended service) (documentation of a security skill)
    copycat=$(curl -s "$PRISM_URL/analyze/copycat/$TOKEN")
    security skill
  • low Secrets in code secret-high-entropy-token SKILL.md:21
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    ./scan.sh 0x69…933
    detector

Files scanned: 4. 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 "keywords"

Process rating: all ten parameters 47/100

  • 0Steps. Prose only: no discrete steps
  • 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
  • 60Result and completion. Output format stated, no completion criterion
  • 100Tools and files. No external tools needed
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 723 tokens
  • 100Running it twice. No mutating operations

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)
  • +3No numbered steps or checklist
  • +1No license
  • +2Single-language instructions
  • +3Description length 139: enough signal without eating the budget
  • +4Structure: 12 headings
  • +3Output format is stated explicitly
  • +4Has examples (8 code blocks)
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 74.

External checks

ClawHub: clean
This skill is a disclosed token-risk scanner that calls a PRISM API, with some quality and privacy cautions but no evidence of hidden, destructive, or persistence behavior.
LLM: benign (high) · VirusTotal: benign · 10 Sept 2026