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CD base

Interact with Base blockchain — check balances, gas prices, block numbers, and transaction status. Use when the user wants to query onchain data on Base. No API key required.

modbender/skill-library-mcp Agent Skills author: modbender MIT 3 files · 1 script body ≈ 0 tokens Open the sourcegithub.com↗ analyzed 2 d ago

Interact with Base blockchain — check balances, gas prices, block numbers, and transaction status.

As a process D 44/100 · Unfinished process — weak spots: steps, result and completion, 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
C
62/100
safety, quality, tests
Safety 60%
96
Quality 40%
11
Run on models
none yet
Process rating
D
44/100
Unfinished process
Steps w 15
0
Result and completion w 14
0
Inputs and preconditions w 11
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 · 4

    ✓ No critical or high findings

    Medium and low: 4
    • low Secrets in code secret-high-entropy-token references/base-rpc.md:41
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      - **USDC:** `0x83…913`
      quoted
    • low Secrets in code secret-high-entropy-token references/base-rpc.md:42
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      - **CBETH:** `0x2A…EA8`
      quoted
    • low Secrets in code secret-high-entropy-token references/base-rpc.md:43
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      - **DAI:** `0x50…0Cb`
      quoted
    • low Secrets in code secret-high-entropy-token scripts/base.sh:92
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      local usdc_address="0x83…913"
      quoted

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

    Against the Agent Skills spec

    • error body-empty SKILL.md: empty instructions body

    Process rating: all ten parameters 44/100

    • 0Steps. Prose only: no discrete steps
    • 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
    • 70When it triggers. States when to use, but not when not to
    • 100Tools and files. No external tools needed
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 0 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)
    • +4Structure: 0 headings, hard to scan
    • +3No numbered steps or checklist
    • +3Output format is not stated: the model decides each time
    • +4No input/output examples
    • -15SKILL.md body under 300 characters: nearly empty
    • -41 reference files, but SKILL.md never points to them: the model will not open them
    • -31 of 1 scripts are never mentioned in SKILL.md
    • +1No license
    • +2Single-language instructions
    • +3Description length 174: enough signal without eating the budget

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 11.