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BC argus-free-onchain-intel

Free onchain intel and risk scanner. Basically free for most users with 35 free queries a day, then only costs $0.03/query. Token analysis, address risk, smart money tracking, AML compliance, and prompt injection detection.

ClawHub Hermes author: sooyoon-eth v1.9.3 MIT-0 5 files body ≈ 1 535 tokens Open the sourceclawhub.ai↗ analyzed 32 h ago

Free onchain intel and risk scanner.

As a process C 59/100 · Has gaps — weak spots: when it triggers, inputs and preconditions, consistency

IntegrationStripeAI and agentsSecuritytype and topics are labelled automatically from the skill text
Runs in: OpenClaw Hermes Agent
JSON
Technical rating
B
82/100
safety, quality, tests
Safety 60%
93
Quality 40%
66
Run on models
none yet
Process rating
C
59/100
Has gaps
Inputs and preconditions w 11
0
Progress reporting w 2
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.
  2. For Hermes the description must be one sentence under 60 characters; move the conditions to a "When to Use" section.
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 · 7

✓ No critical or high findings

Medium and low: 7
  • low Secrets in code secret-high-entropy-token README.md:53
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    Treasury: `0x85…954`
    quoted
  • low Secrets in code secret-high-entropy-token README.md:80
    High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
    | Base | `0x85…954` | [BaseScan](https://basescan.org/address/0x85…954) |
    table
  • low Secrets in code secret-high-entropy-token README.md:81
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition; documentation table row)
    | Solana | `Ntx6…XYH` | [Solscan](https://solscan.io/account/Ntx6…XYH) |
    detectortable
  • low Secrets in code secret-high-entropy-token SKILL.md:121
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    -d '{"address": "0x74…44e"}'
    quoted
  • low Secrets in code secret-high-entropy-token SKILL.md:193
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "content": "Is 0x74…44e safe?",
    quoted
  • low Secrets in code secret-high-entropy-token SKILL.md:223
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    **Treasury (Base):** `0x85…954`
    quoted
  • low Secrets in code secret-high-entropy-token SKILL.md:224
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    **Treasury (Solana):** `Ntx6…XYH`
    quoted

Files scanned: 5. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-long-hermes description is 223 chars; the Hermes authoring standard requires ≤ 60 (one sentence, ending with a period)
  • warning description-no-when neither description nor a "## When to Use" section says when to use the skill
  • note frontmatter-key unknown frontmatter key "requires"
  • note frontmatter-key unknown frontmatter key "os"
  • note frontmatter-key unknown frontmatter key "primaryEnv"
  • note frontmatter-key unknown frontmatter key "cost"
  • note frontmatter-key unknown frontmatter key "costCurrency"
  • note frontmatter-key unknown frontmatter key "costNetwork"
  • note frontmatter-key unknown frontmatter key "homepage"
  • note frontmatter-key unknown frontmatter key "repository"

Process rating: all ten parameters 59/100

  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 4 mutating operations with no state check
  • 40Consistency. Frontmatter name (argus-free-onchain-intel) differs from the folder (argus)
  • 50Failures and branches. 0 branches, has a failure section
  • 60Result and completion. Output format stated, no completion criterion
  • 100Tools and files. No external tools needed
  • 100Steps. 14 steps
  • 100Execution cost. Instruction body is 1535 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 223: enough signal without eating the budget
  • +4Structure: 22 headings
  • +3Step-by-step instructions: 14 items
  • +3Output format is stated explicitly
  • +4Has examples (12 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 66.

External checks

ClawHub: suspicious
The skill is a coherent remote blockchain intelligence API helper, but it asks agents to send sensitive queries and payment tokens to a configurable endpoint without enough guardrails or privacy guidance.
LLM: suspicious (high) · VirusTotal: benign · 10 Sept 2026