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BC bitmart-wallet-ai

BitMart Web3 Wallet Skills (12 endpoints): Token Search, Chain Details, Token Info, K-Line Chart, Hot Token Ranking, xStock Ranking, Smart Money P&L Ranking, Smart Money Address Analysis/Holdings/Transaction History, Address Balance, Address Recent Transactions, Swap Quote, Batch Price. All APIs do not require API Key. Use when users ask about token prices, market data, smart money tracking, asset queries, recent transactions, or token swap quotes.

LeoYeAI/openclaw-master-skills Agent Skills author: LeoYeAI MIT 3 files body ≈ 5 670 tokens Open the sourcegithub.com↗ analyzed 2 d ago

BitMart Web3 Wallet Skills (12 endpoints): Token Search, Chain Details, Token Info, K-Line Chart, Hot Token Ranking, xStock Ranking, Smart Money P&L Ranking…

As a process C 57/100 · Has gaps — weak spots: when it triggers, consistency, running it twice

IntegrationFinancetype 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
87/100
safety, quality, tests
Safety 60%
94
Quality 40%
76
Run on models
none yet
Process rating
C
57/100
Has gaps
Progress reporting w 2
0
When it triggers w 12
20
Running it twice w 4
30
the three weakest of ten parameters · all ten

How to improve

  1. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
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 · 6

✓ No critical or high findings

Medium and low: 6
  • low Secrets in code secret-high-entropy-token README.md:66
    High-entropy token-like string (may be an id, hash or a credential)
    Show recent transactions for address 2h4h…i8R on Solana
  • low Secrets in code secret-high-entropy-token SKILL.md:79
    High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
    | 2001 | Solana | `So11…111` |
    table
  • low Secrets in code secret-high-entropy-token SKILL.md:93
    High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
    | **Solana** | Must use `So11…111` | Kept as is |
    table
  • low Secrets in code secret-high-entropy-token SKILL.md:98
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    - When swapping native tokens on Solana, must pass `So11…111` for `tokenAddress`
    quoted
  • low Secrets in code secret-high-entropy-token SKILL.md:112
    High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
    | Solana | SOL | `So11…111` |
    table
  • low Secrets in code secret-high-entropy-token SKILL.md:119
    High-entropy token-like string (may be an id, hash or a credential) (documentation table row)
    | Solana | USDC | `EPjF…t1v` |
    table

Files scanned: 3. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 5670 tokens (recommended < 5000); move details to references/
  • note frontmatter-key unknown frontmatter key "homepage"

Process rating: all ten parameters 57/100

  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 8 mutating operations with no state check
  • 40Consistency. Frontmatter name (bitmart-wallet-ai) differs from the folder (bitmart-wallet-skill)
  • 60Tools and files. Uses tools (web) that frontmatter does not declare
  • 60Result and completion. Output format stated, no completion criterion
  • 65Failures and branches. 3 branches
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 70Execution cost. Instruction body is 5670 tokens
  • 85Steps. 59 steps, 1 vague phrases

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 452: enough signal without eating the budget
  • +4Structure: 29 headings
  • +3Step-by-step instructions: 59 items
  • +3Output format is stated explicitly
  • +4Has examples (12 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 76.