SKILLEMALL.ai

BC crypto

Real-time crypto prices, gas, trending tokens, wallet balances, ENS resolution, and token info for OpenClaw agents. Zero API keys required. Use when the user asks about crypto prices, token info, wallet balances, gas costs, trending coins, name resolution, or any blockchain data lookup.

ClawHub Agent Skills author: Plag v1.0.1 MIT-0 2 files body ≈ 2 360 tokens Open the sourceclawhub.ai↗ analyzed 6 d ago

Real-time crypto prices, gas, trending tokens, wallet balances, ENS resolution, and token info for OpenClaw agents.

As a process C 55/100 · Has gaps — weak spots: result and completion, inputs and preconditions, consistency

IntegrationAI and agentsSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
B
90/100
safety, quality, tests
Safety 60%
95
Quality 40%
83
Run on models
none yet
Process rating
C
55/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

How to improve

    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 · 5

    ✓ No critical or high findings

    Medium and low: 5
    • low Secrets in code secret-high-entropy-token SKILL.md:153
      High-entropy token-like string (may be an id, hash or a credential)
      # USDC on Base: 0x83…913
    • low Secrets in code secret-high-entropy-token SKILL.md:156
      High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
      -d '{"jsonrpc":"2.0","method":"eth_call","params":[{"to":"0x83…913","data":"0x70…_0x"},"latest"],"id":1}' \
      detector
    • low Secrets in code secret-high-entropy-token SKILL.md:173
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      - USDC: `0x83…913` (6 decimals)
      quoted
    • low Secrets in code secret-high-entropy-token SKILL.md:174
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      - USDT: `0xfd…bb2` (6 decimals)
      quoted
    • low Secrets in code secret-high-entropy-token SKILL.md:175
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      - EURC: `0x60…b42` (6 decimals)
      quoted

    Files scanned: 2. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "homepage"

    Process rating: all ten parameters 55/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Progress reporting. Says nothing while it works
    • 30Running it twice. 2 mutating operations with no state check
    • 40Consistency. Frontmatter name (crypto) differs from the folder (crypto-skill)
    • 60Tools and files. Uses tools (bash, web, python) that frontmatter does not declare
    • 70When it triggers. States when to use, but not when not to
    • 100Steps. 47 steps
    • 100Failures and branches. 4 branches, has a failure section
    • 100Execution cost. Instruction body is 2360 tokens
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
    • low 11 top-level sections: this looks like several domains in one skill

    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
    • +1No license
    • +2Single-language instructions
    • +3Description length 287: enough signal without eating the budget
    • +4Structure: 12 headings
    • +3Step-by-step instructions: 47 items
    • +4Has examples (14 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 83.

    External checks

    ClawHub: clean
    This is a read-only crypto lookup skill with disclosed network lookups and no local persistence or transaction authority.
    LLM: benign (high) · VirusTotal: · 9 Oct 2026