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 skills/davidomil/cloudx/review-python-servicesnpx skills add davidomil/cloudx --skill review-python-servicesgit clone --depth 1 https://github.com/davidomil/cloudxWhat 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 | $0.00027 | $0.00307 |
| Opus 5 | $0.00014 | $0.00153 |
| Sonnet 5 | $0.00005 | $0.00061 |
| Haiku 4.5 | $0.00003 | $0.00031 |
Grade A, and why
review-python-services 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
Review Python Services
Responsibility
Review one Python service change and its Node consumer boundary when affected. Findings only; no edits or GitHub mutation.
Run in a fresh context with the applicable scoped AGENTS.md, service source,
API client/provider, accepted plan, exact diff and pytest evidence.
Lenses
- FastAPI/Pydantic request and response contracts validate boundary data and remain consistent with Node consumers.
- Blocking inference, extraction, media, subprocess, archive and index work has an explicit worker boundary outside async request loops.
- Uploads, streams, queues, pagination, artifacts, media and model concurrency have explicit resource limits.
- Temporary files, threads, streams and background tasks are cleaned on every success, error, cancellation and disconnect path.
- Path containment and archive extraction resist traversal, symlink and crafted package inputs.
- Persistence/import/rebuild paths are atomic or preserve the prior valid state after failure.
- Logs preserve transcript/document privacy and exclude secrets/raw content by default.
- Pytest drives real API/service paths and covers malformed input, failure, cleanup, recovery and boundary round trips.
Output
Produce .agents/schemas/review.schema.json with
subject: "implementation" and reviewer_role: "review-python-services".
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 · 39 lines · 27 tokens per session scan A 426a0a641053
review-python-services is a skill published in the GitHub repository davidomil/cloudx (1 stars, last pushed 8d ago), licensed MIT. It adds 27 tokens to every session and 307 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.
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