AC api-test-automation
Generate complete automated API test cases from interface documentation such as OpenAPI, Swagger exports, Postman collections, Markdown API docs, or endpoint tables. Use when Codex needs to analyze interface docs, generate executable API test cases, add configurable pre-request scripts and post-response assertion scripts, adapt the suite to a user-provided runtime environment, execute the generated tests, and produce a complete test report with pass/fail details, diagnostics, and environment summary.
As a process C 56/100 · Has gaps — weak spots: result and completion, when it triggers, consistency
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 · 0
✓ No critical or high findings
Files scanned: 11. 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 56/100
- 0Result and completion. Does not say what the result is
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 30Running it twice. 5 mutating operations with no state check
- 40Consistency. Frontmatter name (api-test-automation) differs from the folder (my-api-test-automation)
- 60Tools and files. Uses tools (bash, python) that frontmatter does not declare
- 65Failures and branches. 3 branches
- 100Steps. 50 steps
- 100Inputs and preconditions. Inputs and preconditions are listed
- 100Execution cost. Instruction body is 1438 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 505: enough signal without eating the budget
- +4Structure: 15 headings
- +3Step-by-step instructions: 50 items
- +4Has examples (2 code blocks)
- +4Reference files are cited in the instructions (2 of 2)
- +3All 2 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 91.