SKILLEMALL.ai

BC VIGIL Security Scanner

Onchain security scanner on Base — scan token approvals, detect honeypots, analyze contracts for rugpull indicators, and score contract safety. Keyless read-only scanning via VIGIL API. Revoke actions require Bankr auth and are gated separately.

ClawHub Agent Skills author: Vigil v1.0.3 MIT-0 19 files · 14 scripts body ≈ 1 942 tokens Open the sourceclawhub.ai analyzed 29 h ago

Onchain security scanner on Base — scan token approvals, detect honeypots, analyze contracts for rugpull indicators, and score contract safety.

As a process C 52/100 · Has gaps — weak spots: when it triggers, inputs and preconditions, failures and branches

IntegrationSecuritytype and topics are labelled automatically from the skill text
JSON
Technical rating
B
84/100
safety, quality, tests
Safety 60%
99
Quality 40%
61
Run on models
none yet
Process rating
C
52/100
Has gaps
Inputs and preconditions w 11
0
Failures and branches w 10
0
When it triggers w 12
20
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 · 1

✓ No critical or high findings

Medium and low: 1
  • low Secrets in code secret-high-entropy-token references/contracts.md:7
    High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
    | $VIGIL Token (ERC-20) | [`0xC7…bA3`](https://basescan.org/token/0xC7…bA3) | ✅ Live on Base |
    table

Files scanned: 19. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)
  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • note frontmatter-key unknown frontmatter key "var"
  • note frontmatter-key unknown frontmatter key "capabilities"

Process rating: all ten parameters 52/100

  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 20When it triggers. No condition that starts the skill
  • 40Consistency. Frontmatter name (VIGIL Security Scanner) differs from the folder (vigil-security-scanner)
  • 60Tools and files. Uses tools (bash, web) that frontmatter does not declare
  • 60Result and completion. Output format stated, no completion criterion
  • 100Steps. 22 steps
  • 100Execution cost. Instruction body is 1942 tokens
  • 100Running it twice. Mutating operations check current state
  • 100Progress reporting. Reports progress

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)
  • -43 reference files, but SKILL.md never points to them: the model will not open them
  • -314 of 14 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 245: enough signal without eating the budget
  • +4Structure: 16 headings
  • +3Step-by-step instructions: 22 items
  • +3Output format is stated explicitly
  • +4Has examples (11 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 61.

External checks

ClawHub: suspicious
This appears to be a real crypto security scanner, but it bundles wallet-changing and reputation-reporting actions despite repeatedly framing the skill as read-only.
LLM: suspicious (high) · VirusTotal: · 8 Jun 2026