القائمة
Systematic REST and GraphQL API endpoint testing: happy path, error cases, auth flows, rate limits, schema validation. Use when: testing backend APIs, validating endpoint responses, checking error ...
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
| name | api-tester |
| description | Systematic REST and GraphQL API endpoint testing: happy path, error cases, auth flows, rate limits, schema validation. Use when: testing backend APIs, validating endpoint responses, checking error ... |
| category | backend |
| maturity | stable |
| tags | ["rest-api","graphql","endpoint-testing","auth-flows","schema-validation"] |
Systematic REST and GraphQL API endpoint testing: happy path, error cases, auth flows, rate limits, schema validation. Use when: testing backend APIs, validating endpoint responses, checking error handling, verifying auth/permissions, or benchmarking API performance.
Run API tests from a JSON test spec. Reports pass/fail with response details.
# From file
python3 scripts/api-test.py --spec tests.json
# From stdin
echo '{"base_url":"https://httpbin.org","tests":[{"name":"get","method":"GET","path":"/get","expect_status":200}]}' | python3 scripts/api-test.py
Test spec format:
{
"base_url": "http://localhost:3000",
"default_headers": { "Authorization": "Bearer TOKEN" },
"tests": [
{
"name": "list users",
"method": "GET",
"path": "/api/users",
"expect_status": 200,
"expect_json": { "type": "object" }
},
{
"name": "create user",
"method": "POST",
"path": "/api/users",
"headers": { "Content-Type": "application/json" },
"body": { "name": "Test", "email": "t@t.com" },
"expect_status": 201,
"expect_json": { "required": ["id", "name"] }
}
]
}
expect_json validation: type (array/object/string), required (list of keys that must exist), properties (nested type checks).
Generate a test spec skeleton from Express/Fastify route files.
bash scripts/api-spec-gen.sh --source ./routes --output api-tests.json
Performance benchmarking for API endpoints.
python3 scripts/api-benchmark.py --url https://httpbin.org/get --count 50 --concurrency 5
python3 scripts/api-benchmark.py --url http://localhost:3000/api/health --method GET --count 100 --concurrency 10 --headers '{"Authorization":"Bearer tok"}'
Reports: min, max, avg, median, p95, p99, throughput (req/s).
references/rest-testing-patterns.md — CRUD lifecycle, auth flows, pagination, error responsesreferences/api-checklist.md — API quality checklist: status codes, error format, CORS, input validationDouble-model verification gate before declaring a build/research/refactor "done". Runs a fresh Anthropic (Claude) review AND an independent OpenAI/Azure critic against the stated goal + criteria, then reconciles. Use before announcing completion of medium/major builds, refactors, major fixes, research deliverables, frontend work, or trade-decision rigor — and on demand via /verify. Skip for small Q&A and trivial edits.
Record and retrieve Architecture Decision Records — log a decision's context, options, rationale, and tradeoffs, then list/search them. Use when making a non-trivial design or architecture decision, choosing between tools/approaches, or asked 'why did we do it this way?'
Queue an external action (Telegram message, shell command, GitHub comment, PR merge, file write) for the user's explicit approval before it runs. Use when you want to take an outward-facing or irreversible action that needs sign-off first.
Run a structured multi-position debate over an analytical question, spawning sub-agents to argue each option and counter confirmation bias. Use when comparing options or tradeoffs — 'which is better', 'should we', 'what's the risk', 'evaluate', 'compare options'.
Ingest documents (URLs, local files, PDFs) into a searchable local knowledge base and query stored knowledge. Use when ingesting or storing documents, searching previously stored knowledge, or building research context.
Collect macro market and economic-calendar data (yfinance + FairEconomy API) into a SQLite DB and generate a formatted macro briefing for Telegram. Use when producing a macro/markets briefing or collecting macro market data.