api-test-bruno · git:20260903.6713296 · 2026-09-03 · sha256 e5c268993fddde93
api-test-bruno git:20260903.6713296A
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--- name: api-test-bruno description: Use this skill when you need to parse multi-format API definitions and generate Bruno collections for executable regression; triggers include Bruno collections and Bruno API testing. --- # api-test-bruno (EN) **Chinese version:** See the corresponding Chinese skill. ## When to Use - Need API outputs that should land in Bruno structure or Bruno workflow. - The project already uses Bruno or wants Bruno-ready organization. ## Workflow 1. Read and follow the main prompt listed under Progressive disclosure (coverage, structure, quality bar). 2. Add only project context that changes the result: scope, environment, constraints, risks, dependencies, expected deliverable. 3. If input is incomplete, return a usable first draft and explicitly mark assumptions and gaps. 4. Default to Markdown; switch formats only when the user asks. ## Core Constraints - Prioritize by risk / business impact — do not treat everything equally. - Separate confirmed facts from current assumptions. - Do not invent endpoints, fields, environments, or root causes the user did not provide. - Use placeholders or env-var semantics for auth/secrets; never hardcode real credentials. - Keep output executable: concrete scenarios, clear priority, clear next steps. ## Progressive Disclosure - Before producing output, read and follow `prompts/api-test-bruno.md` (minimum coverage, output structure, quality bar). - When a ready-made template fits: use matching files under `output-templates/`. - When the user wants examples or alignment with existing assets: read relevant `examples/`. - For deep framework/troubleshoot/schema notes: read only the relevant file(s) under `references/`, do not load the whole directory. - For format conversion or helper checks: prefer existing `scripts/` over reinventing. - For evaluating/regressing this skill: use `evals/` with skill-up. ## Pre-delivery Checklist - [ ] Followed the main prompt's output structure - [ ] Minimum coverage focus: collection structure, environment setup, auth handling, priority endpoints, positive scenarios, negative and boundary scenarios, data or variable strategy, assertion focus, ... (details in main prompt) - [ ] Covered the minimum checklist, or explained omissions - [ ] High-risk items have explicit priority - [ ] Did not invent details the user did not provide - [ ] Assumptions and gaps are marked ## Common Pitfalls - Do not pretend completeness when scope/context is missing. - Do not treat every item as equally important. - Do not skip assumptions and information gaps. - Do not dump generic theory unrelated to the current toolchain.