api-version-compatibility-testing
Use this skill when you need to assess API version compatibility from old-client, new-server, and deprecation evidence; triggers include API 版本兼容性测试 and API version compatibility testing.
Install
npx skills add https://github.com/naodeng/awesome-qa-skills/tree/main/skills/en/testing-types/api-version-compatibility-testing
claude plugin marketplace add https://llmmart.ai/marketplace.json && claude plugin install naodeng-awesome-qa-skills@llmmart
git clone https://github.com/naodeng/awesome-qa-skills.git
The skills CLI installs just this skill, for any of its supported agents. Claude Code installs the whole naodeng/awesome-qa-skills collection as a plugin from our marketplace. Git is the plain clone.
Skill manifest
API Version Compatibility Testing
design compatibility candidates from version contracts, old clients, server changes, and deprecation evidence. Produce AVC-## findings. This Skill organizes traceable API-quality candidates only; it does not execute tests or turn a design inventory into coverage, pass, or release evidence.
When to Use
- When you need version compatibility candidates from version contracts, change logs, old-client samples, compatibility policies, deprecation timelines, gateway routes, and response comparisons.
- When you need selection rationale, applicability constraints, evidence gaps, and the smallest validation action.
- When inputs are incomplete but a bounded first pass can preserve blocked or unassessed boundaries.
Do not use it to execute tests, invent contract or behavior, replace a complete strategy, or accept risk for a Human.
Output Format Options
- Use Markdown by default; use tables, JSON, or CSV only when explicitly requested or required by the delivery format.
- Separate static analysis, unexecuted work, evidence states, and Human decisions; keep items unassessed, blocked, or NOT_RUN when runtime evidence is absent.
How to Use
- Read prompts/api-version-compatibility-testing.md and provide the objective, scope, material, environment, and evidence.
- Complete the known, missing, conflicting, stale, out_of_scope, and assumptions input audit before findings.
- Record AVC-## with the subject, preconditions, behavior of concern, source evidence, and validation, plus impact/priority, owner role, close condition, and evidence state.
- Preserve conflicts, unknown constraints, and open questions when evidence is incomplete.
Core Constraints
- Do not execute tests, assume missing rules, versions, thresholds, data, or responses, or treat candidate counts as coverage proof.
- File presence, names, design declarations, and Eval configuration are not runtime evidence.
- Mark unknowns unassessed, blocked, or pending clarification instead of filling them with convention.
- Do not edit requirements, code, test assets, or target systems.
Pre-delivery Check
- Recorded the known, missing, conflicting, stale, out_of_scope, and assumptions input audit.
- Every AVC-## has source, evidence state, impact/priority, owner role, close condition, and validation.
- Facts, inferences, recommendations, unexecuted work, and Human decisions remain separate.
- Findings are not execution results, coverage proof, or release claims.
Reference Files
- Read evals/eval.yaml and matching cases for regression; configuration does not prove project results.
- Use evals/trigger-prompts.csv and evals/local-rules.json for trigger checks; missing skill.selection evidence is BLOCKED.
Common Pitfalls
- Do not turn a method name, file presence, or candidate count into test execution, coverage, pass, or release evidence when scope or evidence is incomplete.
- Do not fill in missing rules, thresholds, data, environments, or results from convention; preserve unassessed, blocked, and pending items.
- Do not expand this specialist design or review into a complete strategy, full test cases, runtime execution, or a release decision.
Best Practices
- Complete the six-part input audit before selecting the smallest traceable and verifiable finding scope.
- Keep the source, evidence state, impact/priority, owner role, close condition, validation method, and residual risk for every finding.
- Write validation suggestions as next actions; do not upgrade package structure, candidate counts, or local Eval configuration into real quality conclusions.
Files (awesome-qa-skills)
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agents
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openai.yaml 377 B
version: 1 metadata: key: "api-version-compatibility-testing" interface: display_name: "API Version Compatibility Testing" short_description: "Design evidence-backed candidates without claiming execution." default_prompt: "Use the api-version-compatibility-testing skill to produce AVC-## findings without claiming execution." policy: allow_implicit_invocation: true
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evals
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cases
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basic-success.yaml 909 B
id: basic-success title: "API Version Compatibility Testing: basic-success" description: | This case checks the api-version-compatibility-testing evidence and boundary contract. input: prompt: | Use api-version-compatibility-testing for this material: API v2 adds fields and changes error codes, but v1 client tolerance, deprecation dates, and routing behavior lack evidence. Start with known, missing, conflicting, stale, out_of_scope, and assumptions, then produce AVC-## with source, evidence state, priority, close condition, and validation. Do not claim tests ran. expect: must_contain: - "AVC-" - "known" - "evidence" - "validation" - "compatibility" must_not_contain: - "TODO" - "I cannot" judge: type: rule_based success: - output_contains: all: - "known" - "evidence" - "validation" - "compatibility" -
edge-incomplete-input.yaml 672 B
id: edge-incomplete-input title: "API Version Compatibility Testing: edge-incomplete-input" description: | This case checks that missing inputs remain explicit and bounded. input: prompt: | Use api-version-compatibility-testing with only an endpoint name and one business sentence. List missing evidence and open questions, then produce bounded AVC-## candidates without inventing a contract or execution result. expect: must_contain: - "AVC-" - "missing" - "open question" must_not_contain: - "TODO" - "I cannot" judge: type: rule_based success: - output_contains: all: - "missing" - "open question" -
edge-scope-boundary.yaml 747 B
id: edge-scope-boundary title: "API Version Compatibility Testing: edge-scope-boundary" description: | This case checks that execution and out-of-scope requests remain explicit. input: prompt: | Use api-version-compatibility-testing for design review only. The user asks to execute every check and guarantee release. State scope, unexecuted work, and Human decisions before producing AVC-##. expect: must_contain: - "AVC-" - "scope" - "unexecuted" must_not_contain: - "TODO" - "I cannot" - "tests were executed" - "all tests passed" - "release approved" judge: type: rule_based success: - output_contains: all: - "scope" - "unexecuted" - "compatibility"
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eval.yaml 441 B
schema_version: v1alpha1 environment: type: none skills: - source: local_path path: . engine: name: claude_code cases: files: - evals/cases/basic-success.yaml - evals/cases/edge-incomplete-input.yaml - evals/cases/edge-scope-boundary.yaml defaults: timeout_seconds: 180 max_turns: 8 expect: exit_code: 0 must_not_contain: - "TODO" - "I cannot" report: formats: [json] -
local-rules.json 152 B
{ "skill": "api-version-compatibility-testing", "max_commands": 20, "max_total_tokens": 100000, "permissions": { "max_escalations": 0 } } -
trigger-prompts.csv 572 B · in bundle
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prompts
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api-version-compatibility-testing.md 3.4 KB
# API Version Compatibility Testing Prompt Act as an evidence-driven QA test-design specialist. Based only on supplied material, design compatibility candidates from version contracts, old clients, server changes, and deprecation evidence. Do not invent rules, versions, thresholds, data, responses, or execution results. ## Input Start with: - known: sourced facts about version contracts, change logs, old-client samples, compatibility policies, deprecation timelines, gateway routes, and response comparisons; - missing: absent stable IDs, scope, version, unit, threshold, constraint, data, environment, or raw execution result; - conflicting: contradictory contracts, behavior, applicability, expected outcomes, or evidence; - stale: version, rule, model, test, or report material whose current applicability is unclear; - out_of_scope: systems, platforms, stages, combinations, or execution actions excluded from this pass; - assumptions: minimum assumptions used for a bounded first pass and their impact. ## What to do Prefer version contracts, change logs, old-client samples, compatibility policies, deprecation timelines, gateway routes, and response comparisons, requirements, acceptance criteria, designs, changes, defects, existing tests, and raw reports. 1. Restate the subject, scope, and success criteria. 2. Build a source chain to design candidates and explain selection and exclusion. 3. Select the smallest high-risk, verifiable set. 4. Preserve unknown, conflicting, and not-applicable items as open questions. 5. Write recommendations as validation intent, never as executed results. ## Execution Rules ### AVC-## Finding Contract Each finding contains the subject, preconditions, behavior of concern, source evidence, and validation, plus evidence state, impact/priority, owner role, and close condition. - Shared output fields: object/rule (or the domain-equivalent subject), source, trigger or applicability, expected concern/rationale, evidence state, impact/priority, owner role, close condition, and validation method. ## Minimum Coverage Checklist - [ ] Complete the six-part input audit and preserve missing, conflicting, stale, out-of-scope, and assumed items. - [ ] Give every finding a source, evidence state, applicability, impact/priority, owner role, close condition, and validation method. - [ ] Keep facts, evidence-backed inferences, candidate recommendations, and Human decisions separate. ## Output Separate, in order: facts; evidence-backed inferences; candidate recommendations; Human decisions. Objective and boundaries; six-part input audit; applicable dimensions and selection rules; AVC-## finding table; unknown, conflicting, blocked/unassessed items and residual risk; validation suggestions, Human decisions, and self-check. ## Quality Bar - Do not execute tests, assume missing rules, versions, thresholds, data, or responses, or treat candidate counts as coverage proof. - File presence, templates, names, static models, and Eval configuration do not prove that a test ran, passed, or covered the system. - Do not edit requirements, code, test assets, or target systems, and do not accept risk or approve release for a Human. - State what is unexecuted, unverified, unassessed, or awaiting a decision. ## Pre-delivery Self-check Did you record the six-part input audit? Does every AVC-## have source, evidence, impact/priority, owner role, close condition, and validation? Are facts, inferences, recommendations, and Human decisions separate?
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SKILL.md 3.8 KB
--- name: api-version-compatibility-testing description: Use this skill when you need to assess API version compatibility from old-client, new-server, and deprecation evidence; triggers include API 版本兼容性测试 and API version compatibility testing. --- # API Version Compatibility Testing design compatibility candidates from version contracts, old clients, server changes, and deprecation evidence. Produce AVC-## findings. This Skill organizes traceable API-quality candidates only; it does not execute tests or turn a design inventory into coverage, pass, or release evidence. ## When to Use - When you need version compatibility candidates from version contracts, change logs, old-client samples, compatibility policies, deprecation timelines, gateway routes, and response comparisons. - When you need selection rationale, applicability constraints, evidence gaps, and the smallest validation action. - When inputs are incomplete but a bounded first pass can preserve blocked or unassessed boundaries. Do not use it to execute tests, invent contract or behavior, replace a complete strategy, or accept risk for a Human. ## Output Format Options - Use Markdown by default; use tables, JSON, or CSV only when explicitly requested or required by the delivery format. - Separate static analysis, unexecuted work, evidence states, and Human decisions; keep items unassessed, blocked, or NOT_RUN when runtime evidence is absent. ## How to Use 1. Read prompts/api-version-compatibility-testing.md and provide the objective, scope, material, environment, and evidence. 2. Complete the known, missing, conflicting, stale, out_of_scope, and assumptions input audit before findings. 3. Record AVC-## with the subject, preconditions, behavior of concern, source evidence, and validation, plus impact/priority, owner role, close condition, and evidence state. 4. Preserve conflicts, unknown constraints, and open questions when evidence is incomplete. ## Core Constraints - Do not execute tests, assume missing rules, versions, thresholds, data, or responses, or treat candidate counts as coverage proof. - File presence, names, design declarations, and Eval configuration are not runtime evidence. - Mark unknowns unassessed, blocked, or pending clarification instead of filling them with convention. - Do not edit requirements, code, test assets, or target systems. ## Pre-delivery Check - [ ] Recorded the known, missing, conflicting, stale, out_of_scope, and assumptions input audit. - [ ] Every AVC-## has source, evidence state, impact/priority, owner role, close condition, and validation. - [ ] Facts, inferences, recommendations, unexecuted work, and Human decisions remain separate. - [ ] Findings are not execution results, coverage proof, or release claims. ## Reference Files - Read evals/eval.yaml and matching cases for regression; configuration does not prove project results. - Use evals/trigger-prompts.csv and evals/local-rules.json for trigger checks; missing skill.selection evidence is BLOCKED. ## Common Pitfalls - Do not turn a method name, file presence, or candidate count into test execution, coverage, pass, or release evidence when scope or evidence is incomplete. - Do not fill in missing rules, thresholds, data, environments, or results from convention; preserve unassessed, blocked, and pending items. - Do not expand this specialist design or review into a complete strategy, full test cases, runtime execution, or a release decision. ## Best Practices - Complete the six-part input audit before selecting the smallest traceable and verifiable finding scope. - Keep the source, evidence state, impact/priority, owner role, close condition, validation method, and residual risk for every finding. - Write validation suggestions as next actions; do not upgrade package structure, candidate counts, or local Eval configuration into real quality conclusions.
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