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 skills add AgentComputerAI/torch --skill pypigit clone --depth 1 https://github.com/AgentComputerAI/torchWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/agentcomputerai/torch/pypi)<a href="https://agentmods.dev/skills/agentcomputerai/torch/pypi"><img src="https://agentmods.dev/badge/skills/agentcomputerai/torch/pypi/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/agentcomputerai/torch/pypi"><img src="https://agentmods.dev/badge/skills/agentcomputerai/torch/pypi.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What 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 5.1 | $0.00079 | $0.01675 |
| Opus 5.5 | $0.00032 | $0.00670 |
| Sonnet 5.5 | $0.00016 | $0.00335 |
| Haiku 4.5 | $0.00008 | $0.00168 |
Grade A, and why
pypi scanned grade A with 1 finding 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 1mo ago.
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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
- **Phase 0 (curl)**: immediately saw FullStory Client Challenge on `/search/`. Skipped browser entirely. How it starts
The opening of the file, as written. The whole thing — 122 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PyPI (pypi.org)
PyPI (Warehouse) exposes official RSS feeds and a JSON API that return the same data the /search HTML page would, without any anti-bot. The HTML /search endpoint is protected by a FullStory client challenge — don't bother with a browser.
Detection
| Signal | Value |
|---|---|
| Server | gunicorn (Warehouse, the PyPI codebase) |
| CDN | Fastly (x-served-by: cache-*) |
| Anti-bot | FullStory client challenge on /search/* (/_fs-ch-*/script.js) — serves a Client Challenge HTML stub to non-JS clients |
| Auth | Not needed |
| robots.txt | Disallows /simple/ indexes; RSS feeds and JSON API are fine |
Curl https://pypi.org/search/?q=&o=-created returns <title>Client Challenge</title> with a /_fs-ch-1T1wmsGaOgGaSxcX/script.js loader. A plain Chrome UA does not bypass it. Don't waste time — use the feeds.
Architecture
PyPI is served by Warehouse. It exposes three scraper-friendly data sources that completely replace the need to scrape HTML:
- RSS feeds (XML, unauthenticated, no anti-bot):
https://pypi.org/rss/packages.xml— 40 newest packages (first release only). This is the equivalent of/search/?q=&o=-created.https://pypi.org/rss/updates.xml— 40 newest releases (includes new versions of existing packages).https://pypi.org/rss/project/<name>/releases.xml— per-project release feed.
- JSON API (unauthenticated):
https://pypi.org/pypi/<name>/json— full metadata for a package (description, author, classifiers, URLs, all releases, file hashes).https://pypi.org/pypi/<name>/<version>/json— metadata for a specific release.
- BigQuery / Google Cloud public dataset (
bigquery-public-data.pypi.*) — for bulk historical data, not scraping.
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.
- 1mo ago First seen · 122 lines · 79 tokens per session scan A 9f809293db79
pypi is a skill published in the GitHub repository AgentComputerAI/torch (5 stars, last pushed 6mo ago), licensed MIT. It adds 79 tokens to every session and 1,675 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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