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 JustVugg/tools-factory --skill pypigit clone --depth 1 https://github.com/JustVugg/tools-factoryWrote 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/justvugg/tools-factory/pypi)<a href="https://agentmods.dev/skills/justvugg/tools-factory/pypi"><img src="https://agentmods.dev/badge/skills/justvugg/tools-factory/pypi.svg" alt="Measured on agentmods" 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 | $0.00037 | $0.00397 |
| Opus 5 | $0.00018 | $0.00198 |
| Sonnet 5 | $0.00007 | $0.00079 |
| Haiku 4.5 | $0.00004 | $0.00040 |
Grade A, and why
pypi 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 8d 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.
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
pypi
Generated by Gutenberg. Use this skill to call the pypi API through the local pypi CLI.
When to use
- The user asks for data exposed by pypi (pypi).
- An agent task needs structured JSON from https://pypi.org.
- You need to perform a write/destructive operation on pypi — always preview first, run with
--yesonly on explicit user confirmation.
How to invoke
The skill assumes the generated CLI is on PATH (or invoke via scripts/use-go.sh run ./cmd/pypi from the project directory).
pypi operations
pypi call getPypiRequests --json
pypi sync --json
pypi search "<keyword>" --json
Authentication
No authentication required.
Operations index
getPypiRequests(GET /pypi/requests/json) — read — GET /pypi/requests/jsongetPypiNumpy(GET /pypi/numpy/json) — read — GET /pypi/numpy/json
Output contract
- All commands accept
--jsonand emit machine-readable output. callreturns{ dryRun, operation, request, response }.dryRun: truemeans the call was not executed (write op without--yes).searchreturns cached records.syncpopulates the local SQLite cache.
Provenance
- Schema: gutenberg.blueprint.v1
- Generated by: gutenberg 0.3.0
- Source spec: /tmp/pypi.openapi.json
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.
- 8d ago First seen · 49 lines · 37 tokens per session scan A 379c007e7754
pypi is a skill published in the GitHub repository JustVugg/tools-factory (52 stars, last pushed 2mo ago), licensed MIT. It adds 37 tokens to every session and 397 once invoked, about $0.0002 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 2026-08-30.
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