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 opendatahub-io/ai-helpers --skill python-packaging-source-findergit clone --depth 1 https://github.com/opendatahub-io/ai-helpersWrote 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/opendatahub-io/ai-helpers/python-packaging-source-finder)<a href="https://agentmods.dev/skills/opendatahub-io/ai-helpers/python-packaging-source-finder"><img src="https://agentmods.dev/badge/skills/opendatahub-io/ai-helpers/python-packaging-source-finder/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/opendatahub-io/ai-helpers/python-packaging-source-finder"><img src="https://agentmods.dev/badge/skills/opendatahub-io/ai-helpers/python-packaging-source-finder.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00049 | $0.00304 |
| Opus 5.5 | $0.00020 | $0.00122 |
| Sonnet 5.5 | $0.00010 | $0.00061 |
| Haiku 4.5 | $0.00005 | $0.00030 |
Grade A, and why
python-packaging-source-finder 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 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.
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
Source Finder
Locates source code repositories for Python packages with confidence scoring.
Usage
To find a source repository for a given package:
- Run the finder script, for example:
# Find repository
$ ./scripts/finder.py requests
# Output structure:
{
"url": "https://github.com/psf/requests",
"confidence": "high",
"method": "pypi_metadata_project_urls.Source",
"package_name": "requests"
}
- Parse the JSON output:
url: Repository URL (ornullif not found)confidence:high,medium, orlowmethod: How the URL was foundpackage_name: the package that was searched
-
If confidence is
loworurlisnull, use WebSearch:<package_name> python github repository -
Present results with confidence level clearly indicated
Output Format
As a result, provide structured output including:
- Repository URL
- Confidence level (high/medium/low)
- Method used to find the repository
- Additional context or warnings
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.
- 1mo ago First seen · 49 lines · 49 tokens per session scan A 388572ddafed
python-packaging-source-finder is a skill published in the GitHub repository opendatahub-io/ai-helpers (38 stars, last pushed 2d ago), licensed Apache-2.0. It adds 49 tokens to every session and 304 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-09-03.
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