AD purch-api
AI-powered shopping API for product search and crypto checkout. Use this skill when: - Searching for products from Amazon and Shopify - Building shopping assistants or product recommendation features - Creating purchase orders with crypto (USDC on Solana or Base) - Integrating e-commerce checkout into applications - Signing and submitting blockchain transactions for purchases
As a process D 49/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
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 · 3
✓ No critical or high findings
Medium and low: 3
-
low Secrets in code
secret-high-entropy-tokenSKILL.md:116High-entropy token-like string (may be an id, hash or a credential) (detector / deny-list definition)- Solana wallet (base58): `7xKX…AsU`
detector -
low Secrets in code
secret-high-entropy-tokenSKILL.md:126High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)"walletAddress": "7xKX…AsU",
quoted -
low Secrets in code
secret-high-entropy-tokenSKILL.md:167High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)"walletAddress": "7xKX…AsU",
quoted
Files scanned: 14. 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 49/100
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 30Running it twice. 6 mutating operations with no state check
- 40Consistency. Frontmatter name (purch-api) differs from the folder (agentic-commerce)
- 60Tools and files. Uses tools (python) that frontmatter does not declare
- 100Steps. 9 steps
- 100Failures and branches. 1 branches, has a failure section
- 100Execution cost. Instruction body is 3569 tokens
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 378: enough signal without eating the budget
- +4Structure: 25 headings
- +3Step-by-step instructions: 9 items
- +4Has examples (29 code blocks)
- +3All 12 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 87.