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BB blockchain-exploration

Procedural knowledge for on-chain blockchain analysis using the openscan CLI

ClawHub Agent Skills author: MatiasOS v0.0.3 MIT-0 9 files body ≈ 884 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process B 68/100 · Nearly there — weak spots: when it triggers, consistency, progress reporting

IntegrationInfrastructuretype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
B
85/100
safety, quality, tests
Safety 60%
96
Quality 40%
69
Run on models
none yet
Process rating
B
68/100
Nearly there
Progress reporting w 2
0
When it triggers w 12
20
Consistency w 8
40
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 · 4

✓ No critical or high findings

Medium and low: 4
  • low Secrets in code secret-high-entropy-token rules/token-balance.md:33
    High-entropy token-like string (may be an id, hash or a credential)
    --token-address 0xA0…B48 \
  • low Secrets in code secret-high-entropy-token rules/tx-history.md:13
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    openscan tx-history 0xd8…045 --chain 1
    detector
  • low Secrets in code secret-high-entropy-token rules/tx-history.md:18
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    openscan tx-history 0xd8…045 \
    detector
  • low Secrets in code secret-high-entropy-token rules/tx-history.md:24
    High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
    openscan tx-history 0xd8…045 \
    detector

Files scanned: 9. 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")

Process rating: all ten parameters 68/100

  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 40Consistency. Frontmatter name (blockchain-exploration) differs from the folder (openscan-blockchain-exploration)
  • 60Tools and files. Uses tools (node) that frontmatter does not declare
  • 60Result and completion. Output format stated, no completion criterion
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Steps. 7 steps
  • 100Failures and branches. 2 branches, has a failure section
  • 100Execution cost. Instruction body is 884 tokens
  • 100Running it twice. No mutating operations
  • low The response is described with custom markup (6 tags): a typed call is more reliable

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)
  • +3Description length 76: 120–800 characters recommended
  • -45 reference files, but SKILL.md never points to them: the model will not open them
  • +2Single-language instructions
  • +4Structure: 9 headings
  • +3Step-by-step instructions: 7 items
  • +3Output format is stated explicitly
  • +4Has examples (2 code blocks)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 69.

External checks

ClawHub: clean
This is a disclosed, read-only blockchain analysis skill that uses the OpenScan CLI and optional RPC/API credentials, with privacy and secret-handling caveats but no hidden or destructive behavior found.
LLM: benign (high) · VirusTotal: · 29 May 2026