git:20260528.90d3be8 to git:20260601.260a64d

1 added, 1 removed. Audit A to A.

# CLAUDE.md — tools/data-seed/

Standalone uv project. Mirrors `openlatch-platform/tools/data-seed/`. The CLI talks to the SaferSkills API only — never imports from `services/api/`.

## Hard rules

1. **Allowlist is a hard refusal.** `purge run --apply` against any URL not in `PURGE_ALLOWLIST` exits 2. Production URLs are intentionally absent — adding one requires editing `saferskills_data_seed/domains/purge/app.py`.

- 2. **Rate-limited publish.** `catalog publish` paces at ≤2 scans/sec to stay under the I-02 D-25 rate-limit budget (10/day/IP equivalent). The 50-item seed takes ~25-30s.

+ 2. **Paced publish, loopback-exempt.** `catalog publish` paces at ≤2 scans/sec to avoid hammering the API (the 50-item seed takes ~25-30s). It does **not** rely on staying under the public 10/day/IP cap — that cap is a daily *count*, not a rate, so pacing can't keep a 50-item corpus under it. Instead the API exempts loopback callers from the per-IP scan-submit limit (`services/api/app/routers/scans.py::_is_loopback`), so seeding from the operator's own machine is unlimited while public submissions stay capped. Seed against a remote host and the cap applies again.

3. **No imports from `services/api/`.** The seed tool talks to the API through HTTP only. Sharing Python modules makes the seed brittle to backend refactors.

4. **Fixture corpus is canonical.** `saferskills_data_seed/domains/catalog/files/catalog.yaml` is the demo dataset. ~50 entries spanning all 5 PRD categories with the score distribution from D-FE-14. A1 ships with 8 representative entries; the full 50 lands in a follow-up.

## Architecture

```

saferskills_data_seed/

├── __main__.py # python -m saferskills_data_seed

├── cli.py # Typer root + global flags

├── shared/

│ ├── context.py # GlobalContext dataclass

│ └── http_client.py # httpx.Client factory

└── domains/

├── catalog/ # list / describe / publish

├── scans/ # list / run

├── vendors/ # verify-issue / verify-redeem / seed

├── doctor/ # preflight

└── purge/ # describe / run (with allowlist + --apply + --yes)

```

Every domain is a `typer.Typer()` subapp registered in `cli.py`. Shared context is attached in the root callback (`attach_context`) and read by subcommands (`get_context`).

## When endpoints don't exist yet

A1 ships before Phase B (scan backend) and Phase C (vendor right-of-reply). Endpoints that don't exist yet return 404. Each subcommand handles 404 explicitly — prints a yellow info message and exits 0 (not an error; the surface just isn't shipped yet). The structure exists so each phase can wire the corresponding endpoint without touching the CLI.

## CI

No dedicated CI lane — this CLI is dev tooling, not production code, so it

runs locally on demand and isn't gated. Linting + smoke happen as part of the

normal local workflow:

```bash

cd tools/data-seed

uv sync

uv run ruff check .

uv run ruff format --check .

uv run saferskills-data-seed --help

uv run saferskills-data-seed catalog list

```

If a regression slips through, the next time the founder reaches for the CLI

they'll see it. That tradeoff is intentional — paying for a CI lane on a

tool that runs maybe once a week wasn't worth the overhead.