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BD valuescan-skill

ValueScan数据查询Skill。支持代币搜索、K线数据、主力资金流分析、链上数据查询等加密货币市场数据分析功能。

ClawHub Hermes author: ValueScan-ai v1.0.7 MIT-0 33 files body ≈ 2 239 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureInfrastructuretype and topics are labelled automatically from the skill text
Runs in: OpenClaw Hermes Agent
JSON
Technical rating
B
84/100
safety, quality, tests
Safety 60%
95
Quality 40%
67
Run on models
none yet
Process rating
D
46/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
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 · 5

✓ No critical or high findings

Medium and low: 5
  • low Secrets in code secret-high-entropy-token references/chain/balance-trend.json:27
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "req": { "vsTokenId": 1, "coinKey": "BTC_BTC", "address": "3M21…RP6", "endTime": 1773479265534 },
    quoted
  • low Secrets in code secret-high-entropy-token references/chain/hold-trend.json:29
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "req": { "vsTokenId": 1, "coinKey": "BTC_BTC", "address": "3M21…RP6", "endTime": 1773479265534 },
    quoted
  • low Secrets in code secret-high-entropy-token references/chain/holders.json:52
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "address": "34xp…seo",
    quoted
  • low Secrets in code secret-high-entropy-token references/chain/profit-loss-trend.json:28
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "req": { "vsTokenId": 1, "coinKey": "BTC_BTC", "address": "3M21…RP6", "endTime": 1773479265534 },
    quoted
  • low Secrets in code secret-high-entropy-token references/chain/trade-count-trend.json:31
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "req": { "vsTokenId": 1, "coinKey": "BTC_BTC", "address": "3M21…RP6", "endTime": 1773479265534 },
    quoted

Files scanned: 33. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when neither description nor a "## When to Use" section says when to use the skill
  • note frontmatter-key unknown frontmatter key "homepage"
  • note frontmatter-key unknown frontmatter key "dependencies"
  • note frontmatter-key unknown frontmatter key "documentation"
  • note frontmatter-key unknown frontmatter key "support_email"
  • note frontmatter-key unknown frontmatter key "website"
  • note frontmatter-key unknown frontmatter key "credentials"

Process rating: all ten parameters 46/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 60Tools and files. Uses tools (web) that frontmatter does not declare
  • 100Steps. 27 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2239 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)
  • +3Description length 59: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +2Single-language instructions
  • +4Structure: 21 headings
  • +3Step-by-step instructions: 27 items
  • +4Has examples (4 code blocks)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 67.

External checks

ClawHub: clean
This is a coherent ValueScan crypto market-data skill that uses disclosed API credentials to query ValueScan, with no evidence of hidden execution, persistence, destructive behavior, or secret exfiltration.
LLM: benign (high) · 28 May 2026