SKILLEMALL.ai
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BC crypto-watcher

Monitor crypto wallets and DeFi positions. Get alerts when things change.

modbender/skill-library-mcp Agent Skills author: modbender MIT 4 files body ≈ 463 tokens Open the sourcegithub.com↗ analyzed 3 d ago

Monitor crypto wallets and DeFi positions.

As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

Integrationtype 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
88/100
safety, quality, tests
Safety 60%
92
Quality 40%
81
Run on models
none yet
Process rating
C
53/100
Has gaps
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

    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 · 8

    ✓ No critical or high findings

    Medium and low: 8
    • low Secrets in code secret-high-entropy-token package-lock.json:27
      High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
      "integrity": "sha5…p81+8Ob3…L40/b0i7…gQw==",
      detector
    • low Secrets in code secret-high-entropy-token package-lock.json:89
      High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
      "integrity": "sha512-+lF0B…kdX+94aG…d8c+B3KT…U6A==",
      detector
    • low Secrets in code secret-high-entropy-token package-lock.json:204
      High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)
      "integrity": "sha5…CzX+oOPq…N14+GARU…vzg==",
      detector
    • low Secrets in code secret-high-entropy-token src/cli.js:21
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      { symbol: 'USDC', address: '0xA0…B48', decimals: 6 },
      quoted
    • low Secrets in code secret-high-entropy-token src/cli.js:22
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      { symbol: 'USDT', address: '0xdA…ec7', decimals: 6 },
      quoted
    • low Secrets in code secret-high-entropy-token src/cli.js:23
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      { symbol: 'WETH', address: '0xC0…Cc2', decimals: 18 },
      quoted
    • low Secrets in code secret-high-entropy-token src/cli.js:26
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      { symbol: 'USDC', address: '0xaf…831', decimals: 6 },
      quoted
    • low Secrets in code secret-high-entropy-token src/cli.js:27
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      { symbol: 'WETH', address: '0x82…ab1', decimals: 18 },
      quoted

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

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 53/100

    • 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
    • 100Tools and files. No external tools needed
    • 100Steps. 8 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 463 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 73: 120–800 characters recommended
    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +4Structure: 9 headings
    • +3Step-by-step instructions: 8 items
    • +4Has examples (4 code blocks)

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