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 OpenLAIR/OpenSkill --skill evo-python-library-discoverygit clone --depth 1 https://github.com/OpenLAIR/OpenSkillWrote 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/openlair/openskill/evo-python-library-discovery)<a href="https://agentmods.dev/skills/openlair/openskill/evo-python-library-discovery"><img src="https://agentmods.dev/badge/skills/openlair/openskill/evo-python-library-discovery/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/openlair/openskill/evo-python-library-discovery"><img src="https://agentmods.dev/badge/skills/openlair/openskill/evo-python-library-discovery.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 | $0.00056 | $0.00331 |
| Opus 5 | $0.00028 | $0.00166 |
| Sonnet 5 | $0.00011 | $0.00066 |
| Haiku 4.5 | $0.00006 | $0.00033 |
Grade A, and why
evo-python-library-discovery 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
Python Library Discovery
This skill identifies Python library directories within a given base path and analyzes their public APIs to produce testing notes.
Detection Heuristics
A subdirectory is considered a Python library if it contains any of:
pyproject.toml(modern PEP 517/621 standard)setup.py(legacy setuptools)setup.cfg(legacy setuptools config)
Key Functions
find_python_libraries(base_dir)- Scan directory for Python libraries, returns list of absolute pathsanalyze_library_api(lib_path)- Analyze a library's public API and structure, returns dictwrite_libraries_txt(libs, output_path)- Write discovered libraries to a filewrite_testing_notes(lib_info, output_path)- Write testing notes for each library
Usage
import sys
sys.path.insert(0, '/app/environment/skills/evo-python-library-discovery/scripts')
from discover import find_python_libraries, analyze_library_api, write_libraries_txt, write_testing_notes
libs = find_python_libraries("/app")
write_libraries_txt(libs, "/app/libraries.txt")
for lib in libs:
info = analyze_library_api(lib)
write_testing_notes(info, f"{lib}/notes_for_testing.txt")
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.
- yesterday First seen · 37 lines · 56 tokens per session scan A 13ab8e93d59c
evo-python-library-discovery is a skill published in the GitHub repository OpenLAIR/OpenSkill (90 stars, last pushed 2d ago), licensed Apache-2.0. It adds 56 tokens to every session and 331 once invoked, about $0.0003 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 2026-09-11.
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