document-api-endpoint
Document and type a Sentry API endpoint. Write or fix @extend_schema decorators, specify response TypedDicts, type request parameters, correct type drift between the declared schema and the runtime response, and validate the generated spec
Install / Use
npx skills add getsentry/skills --skill document-api-endpointInstalls into whichever agent you are using.
SKILL.md
Installable skill definition
Quality Score
Category
Content & MediaSupported Platforms
Our assessment of document-api-endpoint
document-api-endpoint scores 87/100 on our quality scale, 580th of 1,203 Content & Media skills we index (top 49%).
Its SKILL.md is 4.4 KB long, well organised into 9 sections with 2 code examples: a solid amount of guidance for an agent.
With 1,004 GitHub stars, it is one of the more widely adopted skills in the catalogue.
Maintenance, license and trust
- The repository was last updated 12 days ago, so document-api-endpoint is actively maintained.
- It is released under the Apache-2.0 license, a permissive license that allows use, modification and commercial use with attribution.
- Its trust signals score 100/100, with no cautions. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
Safety scan
No issues foundOur scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands.
Automated pattern scan on 2026-10-04. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.
document-api-endpoint compared with similar skills
All 4 of these similar skills score higher than document-api-endpoint; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| document-api-endpoint (this skill)by getsentry | 87 | 1.0k | 12d ago | SKILL.md |
| Agent-Reachby Panniantong | 100 | 89.8k | 18d ago | CLAUDE.md |
| headroomby headroomlabs-ai | 100 | 74.4k | today | CLAUDE.md |
| Scraplingby D4Vinci | 100 | 85.5k | today | MCP Server |
| crawl4aiby unclecode | 100 | 84.7k | 8d ago | MCP Server |
Frequently asked questions
- How do I install document-api-endpoint?
- Run
npx skills add getsentry/skills --skill document-api-endpoint. The install tabs above show the steps for each supported agent. - Which AI agents does document-api-endpoint work with?
- It is written for Universal, as a SKILL.md file. Other agents that read the same format can often use it too.
- Is document-api-endpoint safe to use?
- Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. It is Apache-2.0-licensed and scores 100/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is document-api-endpoint still maintained?
- The repository was last updated 12 days ago, so document-api-endpoint is actively maintained.
Skill content
View source on GitHubname: document-api-endpoint description: Document and type a Sentry API endpoint. Write or fix @extend_schema decorators, specify response TypedDicts, type request parameters, correct type drift between the declared schema and the runtime response, and validate the generated spec. Use when asked to "document an endpoint", "add OpenAPI docs", "add/fix @extend_schema", "type an endpoint response", "fix the response type", "fix type drift", "reuse a response type", "split an overloaded endpoint", "specify the response schema", "add a TypedDict response", "migrate a legacy api-docs path", "fix a parameter type", or "make an endpoint public" / "promote an endpoint" (promotion is one section here).
Document & Type a Sentry API Endpoint
Add or fix OpenAPI docs for a Sentry endpoint with drf-spectacular. Full reference is at https://develop.sentry.dev/backend/api/public/, the most useful section to you will be https://develop.sentry.dev/backend/api/public/#5-method-decorator. This skill captures the non-obvious lessons on top of it. Most of the work is making the declared schema match what the endpoint actually returns. Before documenting, identify which endpoint class serves the route and what it does; the MCP tool that calls it is usually the fastest way to confirm its behavior. Promoting a PRIVATE/EXPERIMENTAL endpoint to PUBLIC is one application (see below).
Workflow
- Class-level
@extend_schema(tags=[...])— use the closest existingOPENAPI_TAGSentry. - Method-level
@extend_schema(operation_id=..., parameters=[...], responses={...}, examples=...). - Reuse
src/sentry/apidocs/parameters.pyandexamples/*.py; ensureowner = ApiOwner.<TEAM>is set. - If a legacy
api-docs/paths/**/*.jsoncovers the path, remove it (see lesson 4). - Validate, then verify against the live endpoint (lesson 1).
Lessons
1. Carefully compare what the code does vs declared types
Ideally, hit the live endpoint with a real token and diff the keys and types against your TypedDict. Serializers are sometimes inaccurate. Look out for counts coming back as floats instead of integers, IDs declared int emitted as strings, nested types declaring the wrong number of fields. Correct the declared type to match runtime.
curl -s -H "Authorization: Bearer $TOKEN" "https://us.sentry.io/api/0/<endpoint>" | jq 'keys'
2. Reuse the canonical response type
Match the codebase's XxxResponseOptional(TypedDict, total=False) mixin (main class declares required fields). Nullable-vs-absent: T | None = key always present, value may be null; NotRequired[T] = key only set under a condition (e.g. an expand query param). Reuse the existing canonical type instead of re-declaring a second or third copy in a *_types.py. If there's no clean canonical type to reuse (e.g. a payload proxied from another service like vroom/profiling), type it dict[str, Any] rather than inventing a new mirror, and confirm the shape from the owning service's repo, not just the serializer.
3. Infer the type. Avoid cast and # type: ignore
When a serializer returns a base type plus extra fields, refactor the producing code so the response type is inferred rather than forced.
4. Legacy doc migration is all-or-nothing per path
Delete the api-docs/paths/**/*.json file AND its $ref in api-docs/openapi.json. drf-spectacular's APPEND_PATHS does not merge HTTP methods, so once any method on a path uses @extend_schema, all legacy methods on that path vanish — migrate every method on the path in one commit.
Promoting to PUBLIC
Do the workflow above, then on the concrete endpoint only (leave siblings PRIVATE):
- Bump
publish_status[<METHOD>]→PUBLICand setowner = ApiOwner.<TEAM>. - Remove the method from
API_OWNERSHIP_ALLOWLIST_DONT_MODIFYin the same change as the flip. - If the endpoint is redundant or being renamed, delete or deprecate the old version in its own change first, then stack the publish on top.
- Note in the PR if scopes widen (
event:read→event:{admin,read,write}) — that's drf-spectacular regenerating frompermission_classes, documentation-only.
The change reaches the @sentry/api SDK / MCP only after sentry-api-schema regenerates downstream.
Validate
make build-api-docs
pnpm run validate-api-examples
.venv/bin/pytest -q --reuse-db tests/apidocs/endpoints/<area>/test_<name>.py
.venv/bin/prek run -q --files <changed paths>
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Languages
Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.
