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AC aisp

Enables AI agents to interact with AISP (Agent Inference Sharing Protocol) for renting or providing DIEM API capacity. Use when working with diem-marketplace, Venice API keys, USDC escrow, listings, rentals, or when the user wants to rent inference capacity or list API keys.

modbender/skill-library-mcp Agent Skills author: modbender MIT 3 files body ≈ 962 tokens Open the sourcegithub.com↗ analyzed 2 d ago

Enables AI agents to interact with AISP (Agent Inference Sharing Protocol) for renting or providing DIEM API capacity.

As a process C 54/100 · Has gaps — weak spots: result and completion, inputs and preconditions, failures and branches

IntegrationAI and agentstype 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
A
91/100
safety, quality, tests
Safety 60%
96
Quality 40%
84
Run on models
none yet
Process rating
C
54/100
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 · 4

    ✓ No critical or high findings

    Medium and low: 4
    • low Secrets in code secret-high-entropy-token SKILL.md:36
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      usdcAddress: "0x83…913",
      quoted
    • low Secrets in code secret-high-entropy-token SKILL.md:63
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      usdcAddress: "0x83…913",
      quoted
    • low Secrets in code secret-high-entropy-token SKILL.md:105
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      - **Mainnet**: `0xee…8f3`
      quoted
    • low Secrets in code secret-high-entropy-token SKILL.md:106
      High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
      - **USDC**: `0x83…913`
      quoted

    Files scanned: 3. 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 54/100

    • 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
    • 30Running it twice. 3 mutating operations with no state check
    • 70When it triggers. States when to use, but not when not to
    • 85Steps. 20 steps, 1 vague phrases
    • 100Tools and files. No external tools needed
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 962 tokens
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

    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 275: enough signal without eating the budget
    • +4Structure: 12 headings
    • +3Step-by-step instructions: 20 items
    • +4Has examples (3 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 84.