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.
As a process C 54/100 · Has gaps — weak spots: result and completion, inputs and preconditions, failures and branches
How to improve
- 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-tokenSKILL.md:36High-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-tokenSKILL.md:63High-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-tokenSKILL.md:105High-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-tokenSKILL.md:106High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)- **USDC**: `0x83…913`
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 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 934 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.