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/agentculture/learn-cli/pypi-maintainernpx skills add agentculture/learn-cli --skill pypi-maintainergit clone --depth 1 https://github.com/agentculture/learn-cliWrote 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/agentculture/learn-cli/pypi-maintainer)<a href="https://agentmods.dev/skills/agentculture/learn-cli/pypi-maintainer"><img src="https://agentmods.dev/badge/skills/agentculture/learn-cli/pypi-maintainer.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 | $0.00083 | $0.00727 |
| Opus 5 | $0.00042 | $0.00364 |
| Sonnet 5 | $0.00017 | $0.00145 |
| Haiku 4.5 | $0.00008 | $0.00073 |
Grade A, and why
pypi-maintainer 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 4d 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.
This is a copy
100% identical to pypi-maintainer — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 77 lines — stays where its author put it; the contents beside it link to each section on GitHub.
PyPI Maintainer
Switch the install source for a package the agent maintains. Three sources are supported: production PyPI, TestPyPI (pre-release / dev builds), and a local editable checkout. The same script works for any package an AgentCulture sibling publishes — pass the package name as the first argument.
When to use
- Verifying a PR's TestPyPI dev build before merging.
- Reproducing a user-reported bug against the published version.
- Hot-patching against a local checkout while a fix is in flight.
- Restoring the production install after local-mode debugging.
Usage
# Production PyPI
bash .claude/skills/pypi-maintainer/scripts/switch-source.sh <package> pypi
# TestPyPI (pre-release dev builds)
bash .claude/skills/pypi-maintainer/scripts/switch-source.sh <package> test-pypi
# TestPyPI, pinned to a specific dev version
bash .claude/skills/pypi-maintainer/scripts/switch-source.sh <package> test-pypi --version 0.4.0.dev42
# Local editable checkout (defaults to current directory)
bash .claude/skills/pypi-maintainer/scripts/switch-source.sh <package> local
# Local editable from an explicit path
bash .claude/skills/pypi-maintainer/scripts/switch-source.sh <package> local --path ../<package>
Prerequisites
The script requires the following tools on PATH:
bashuv— the script delegates touv tool installanduv tool list(oruv pip installforlocal).
Why TestPyPI needs special flags
When a package is published to both PyPI and TestPyPI, uv tool install
finds the production version on PyPI first and never looks at TestPyPI.
The script passes --index-strategy unsafe-best-match so uv compares the
two index sets and picks the highest version, plus --prerelease=allow
because TestPyPI builds carry dev suffixes (e.g. 0.4.0.dev42).
After running
The script prints the resolved version once install completes — cross-check
that against the expected version (PR run number, local pyproject.toml)
before continuing.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 4d ago First seen · 77 lines · 83 tokens per session scan A c67939b9b00e
pypi-maintainer is a skill published in the GitHub repository agentculture/learn-cli (1 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 83 tokens to every session and 727 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to pypi-maintainer, differing in 0 lines, and is treated as a copy.
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