Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add commands/alphaaiservice/cortex/api-docsgit clone --depth 1 https://github.com/alphaaiservice/cortexWhat it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00022 | $0.00440 |
| Opus 5 | $0.00011 | $0.00220 |
| Sonnet 5 | $0.00004 | $0.00088 |
| Haiku 4.5 | $0.00002 | $0.00044 |
Grade A, and why
api-docs scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
API Documentation Generator
Generate comprehensive API documentation for this project.
Step 1: Discover API Endpoints
Scan for route definitions:
- Express/Fastify:
router.get/post/put/delete,app.get/post - FastAPI:
@app.get/post,@router.get/post - Django:
urlpatterns,@api_view - NestJS:
@Get/@Post/@Put/@Delete - Spring:
@GetMapping/@PostMapping
For each endpoint, extract:
- HTTP method and path
- Request parameters (path, query, body)
- Request/response types
- Authentication requirements
- Middleware applied
- Error responses
Step 2: Generate OpenAPI Spec
Create docs/openapi.yaml with:
- API info and server URLs
- Authentication schemes
- All endpoints with full schemas
- Request/response examples
- Error response schemas
Step 3: Generate Markdown Docs
Create docs/API.md:
# API Documentation
## Authentication
[Auth mechanism description]
## Endpoints
### [Group Name]
#### `METHOD /path`
**Description**: [what it does]
**Parameters**:
| Name | In | Type | Required | Description |
|------|------|------|----------|-------------|
**Request Body**:
```json
{ "example": "body" }
Response (200):
{ "example": "response" }
Errors:
| Code | Description |
|---|
## Step 4: Generate Postman Collection
Create `docs/postman_collection.json` with:
- All endpoints organized by group
- Pre-configured request bodies
- Environment variable placeholders
- Example responses
## Output
1. `docs/openapi.yaml` — OpenAPI 3.0 specification
2. `docs/API.md` — Human-readable API docs
3. `docs/postman_collection.json` — Importable Postman collection
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- yesterday First seen · 84 lines · 22 tokens per session scan A c6235fcd0ddf
api-docs is a command published in the GitHub repository alphaaiservice/cortex (1 stars, last pushed 25d ago), licensed MIT. It adds 22 tokens to every session and 440 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other commands, from other repositories
alfred
Asistente contextual de Alfred Dev. Enruta automáticamente al flujo o comando operativo correcto.
feature
Ciclo completo de desarrollo: producto, arquitectura, desarrollo, QA, docs, entrega.
_composicion
Protocolo interno compartido para la composición dinámica del equipo de Alfred según tarea, stack y señales runtime.
ajustes
Configura Alfred Dev: autonomía, proyecto, Lucius, memoria y personalidad. Antes /alfred-dev:config.
audit
Auditoría completa del proyecto con 4 agentes en paralelo.
discuss
Refina una idea o feature antes de abrir un flujo completo de implementación.