SKILLEMALL.ai
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Query Bitcoin (BTC L1) blockchain data with USD pricing — wallet balances, address info, transaction details, UTXO analysis, fee estimation, mempool stats, and live network health. Uses Mempool.space REST API (https://mempool.space/docs/api/rest). No API key required.

ClawHub Hermes v0.1.0 4 files body ≈ 1 711 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

Query Bitcoin (BTC L1) blockchain data with USD pricing — wallet balances, address info, transaction details, UTXO analysis, fee estimation, mempool stats…

As a process D 44/100 · Unfinished process — weak spots: result and completion, when it triggers, failures and branches

IntegrationInfrastructuretype and topics are labelled automatically from the skill text
Runs in: OpenClaw Hermes Agent
JSON
Technical rating
A
90/100
safety, quality, tests
Safety 60%
96
Quality 40%
81
Run on models
none yet
Process rating
D
44/100
Unfinished process
Result and completion w 14
0
Failures and branches w 10
0
Consistency w 8
0
the three weakest of ten parameters · all ten

How to improve

  1. 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 · 4

✓ No critical or high findings

Medium and low: 4
  • low Secrets in code secret-high-entropy-token README.md:145
    High-entropy token-like string (may be an id, hash or a credential)
    python3 scripts/bitcoin_client.py address 1A1z…2Kt
  • low Secrets in code secret-high-entropy-token README.md:315
    High-entropy token-like string (may be an id, hash or a credential)
    python3 scripts/bitcoin_client.py address 1A1z…2Kt
  • low Secrets in code secret-high-entropy-token scripts/bitcoin_client.py:478
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    python3 bitcoin_client.py address 1A1z…2Kt
    quoted
  • low Secrets in code secret-high-entropy-token SKILL.md:85
    High-entropy token-like string (may be an id, hash or a credential)
    address 1A1z…2Kt

Files scanned: 4. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-long-hermes description is 268 chars; the Hermes authoring standard requires ≤ 60 (one sentence, ending with a period)
  • note frontmatter-key unknown frontmatter key "credits"

Process rating: all ten parameters 44/100

  • 0Result and completion. Does not say what the result is
  • 0Failures and branches. Linear process with no failure handling
  • 0Consistency. Frontmatter name (bitcoin) differs from the folder (bitcoin-2)
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 60Tools and files. Uses tools (python) that frontmatter does not declare
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 85Steps. 58 steps, 2 vague phrases
  • 100Execution cost. Instruction body is 1711 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)
  • +3Output format is not stated: the model decides each time
  • +2Single-language instructions
  • +3Description length 268: enough signal without eating the budget
  • +4Structure: 15 headings
  • +3Step-by-step instructions: 58 items
  • +4Has examples (10 code blocks)
  • +3All 1 scripts are documented
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 81.

External checks

ClawHub: suspicious
The skill is mostly a read-only Bitcoin data tool, but it can read a local CoinGecko key and send it in a URL, so it needs review before installation.
LLM: suspicious (high)