BD greenhelix-agent-ready-commerce
Agent-Ready Commerce: Retrofit Your APIs for AI Buyers. Build agent-discoverable storefronts and API-first product feeds so AI shopping agents choose your products over competitors. Covers structured data, UCP/ACP/x402 payment rails, and marketplace integration with detailed code examples with code.
As a process D 48/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
- 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 · 1
✓ No critical or high findings
Medium and low: 1
-
low Secrets in code
secret-high-entropy-tokenSKILL.md:737High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)"payment_address": "0x74…D18",
quoted
Files scanned: 2. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
body-longSKILL.md body ≈ 26442 tokens (recommended < 5000); move details to references/ - note
frontmatter-keyunknown frontmatter key "type" - note
frontmatter-keyunknown frontmatter key "price_usd" - note
frontmatter-keyunknown frontmatter key "content_type" - note
frontmatter-keyunknown frontmatter key "executable" - note
frontmatter-keyunknown frontmatter key "install" - note
frontmatter-keyunknown frontmatter key "credentials"
Process rating: all ten parameters 48/100
- 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
- 10Execution cost. Instruction body is 26442 tokens: crowds the task out of the window
- 20When it triggers. No condition that starts the skill
- 60Tools and files. Uses tools (web, python) that frontmatter does not declare
- 70Failures and branches. 4 branches
- 100Steps. 78 steps
- 100Consistency. Name and required fields are in place
- 100Running it twice. Mutating operations check current state
- low 12 top-level sections: this looks like several domains in one skill
- high The skill tells the model to perform an irreversible action with no human approval
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
- +2Single-language instructions
- +3Description length 300: enough signal without eating the budget
- +4Structure: 57 headings
- +3Step-by-step instructions: 78 items
- +4Has examples (28 code blocks)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 72.