api-endpoint-tester
Skill48 starsChanged 17 days agoMITView on GitHub
Runs a list of HTTP checks against a base URL from a JSON file and reports status codes, response time and body assertions. Use when the user asks whether an API is up, wants a smoke test after a deploy, or needs to verify that endpoints return what the docs promise.
1 other project uses a version of this.
Adopted by
Most recently taken up by
- megandmartin/agent-skills-repotheir own version, first seen Jul 24, 2026
Other versions1 project uses a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 1
- megandmartin/agent-skills-repo★ 3same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
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The file
We split this skill into the rules it gives an agent
2 rules. About 0 are common, 2 are distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈2
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 18
After a deploy, to confirm the main endpoints respond.
- Distinctive: line 19
When the user suspects an endpoint changed shape or status code.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
API endpoint tester
A tiny smoke test runner with no dependencies. It sends real HTTP requests, so only point it at services the user owns or has permission to test.
When to use
- After a deploy, to confirm the main endpoints respond.
- When the user suspects an endpoint changed shape or status code.
- To turn a list of curl commands into a repeatable check.
How to run
python scripts/check_api.py checks.json --base-url https://staging.example.comThe checks file is a JSON list:
[
{"name": "health", "method": "GET", "path": "/health", "expect_status": 200, "expect_body_contains": "ok"},
{"name": "create", "method": "POST", "path": "/items", "json": {"name": "demo"}, "expect_status": 201}
]Optional fields: headers (object), json (request body), expect_status (default 200),
expect_body_contains (string) and timeout (seconds, default 10).
Output
JSON with base_url, passed, failed and results. Each result has name, ok, status,
elapsed_ms and, when it failed, a reason. The exit code is 1 when any check fails.
After running
Report failures first with the reason and status code. Mention slow endpoints (over one second). Do not retry failing POST requests automatically, they may create duplicates.
Errors
A missing checks file exits with code 2. Invalid JSON or a malformed check exits with code 3. Connection errors are reported as failed checks, not crashes.
Does it work?
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