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 shibing624/agentica --skill python-lib-analyzergit clone --depth 1 https://github.com/shibing624/agenticaWrote 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/shibing624/agentica/python-lib-analyzer)<a href="https://agentmods.dev/skills/shibing624/agentica/python-lib-analyzer"><img src="https://agentmods.dev/badge/skills/shibing624/agentica/python-lib-analyzer/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/shibing624/agentica/python-lib-analyzer"><img src="https://agentmods.dev/badge/skills/shibing624/agentica/python-lib-analyzer.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 | $0.00023 | $0.00655 |
| Opus 5.5 | $0.00009 | $0.00262 |
| Sonnet 5.5 | $0.00005 | $0.00131 |
| Haiku 4.5 | $0.00002 | $0.00065 |
Grade A, and why
python-lib-analyzer 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.
$ python view_python_module.py --module requests.get How it starts
The opening of the file, as written. The whole thing — 121 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Python Library Analyzer
A skill for exploring and analyzing any Python library's structure, including modules, classes, functions, and their documentation.
When to Use
Use this skill when you need to:
- Explore an unfamiliar Python library's structure
- Find available classes and functions in a module
- Get function/method signatures and documentation
- Understand library architecture before using it
Quick Start
1. View Top-Level Modules
python view_python_module.py --module <library_name>
Example:
python view_python_module.py --module requests
python view_python_module.py --module numpy
python view_python_module.py --module pandas
2. Explore Submodules
python view_python_module.py --module <library>.<submodule>
Example:
python view_python_module.py --module requests.api
python view_python_module.py --module numpy.linalg
python view_python_module.py --module pandas.DataFrame
3. Get Class/Function Details
python view_python_module.py --module <library>.<Class>
python view_python_module.py --module <library>.<function>
Script Location
The view_python_module.py script is located in the same directory as this SKILL.md file.
Workflow
-
Check if library is installed:
pip list | grep <library_name> -
Install if needed (ask user permission first):
pip install <library_name> -
Start exploration from top level:
python view_python_module.py --module <library_name> -
Drill down into specific modules/classes:
python view_python_module.py --module <library>.<module>.<Class>
Example Session
# Explore requests library
$ python view_python_module.py --module requests
Available submodules in 'requests':
- requests.api: Convenience functions (get, post, put, delete, etc.)
- requests.models: Request and Response classes
- requests.sessions: Session management
- requests.auth: Authentication handlers
...
# Get details on the get function
$ python view_python_module.py --module requests.get
def get(url, params=None, **kwargs):
"""Sends a GET request.
Args:
url: URL for the request.
params: Dictionary of query parameters.
**kwargs: Optional arguments for request.
Returns:
Response object
"""
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 · 121 lines · 23 tokens per session scan A a568e96d9b39
python-lib-analyzer is a skill published in the GitHub repository shibing624/agentica (355 stars, last pushed today), licensed Apache-2.0. It adds 23 tokens to every session and 655 once invoked, about $0.0001 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 2026-08-30.
Other skills, from other repositories
langchain-orchestration
Comprehensive guide for building production-grade LLM applications using LangChain's chains, agents, memory systems, RAG patterns, and advanced orchestration.
python-package-management
Guide for managing packages in the Agent Framework Python monorepo, including creating new connector packages, versioning, and the lazy-loading pattern. Use this when adding, modifying, or releasing packages.
python-feature-lifecycle
Guidance for package and feature lifecycle in the Agent Framework Python codebase, including stage meanings, feature-stage decorators, feature enums, and how to move APIs from one stage to the next.
python-code-quality
Code quality checks, linting, formatting, and type checking commands for the Agent Framework Python codebase. Use this when running checks, fixing lint errors, or troubleshooting CI failures.
python-testing
Guidelines for writing and running tests in the Agent Framework Python codebase. Use this when creating, modifying, or running tests.
python-development
Coding standards, conventions, and patterns for developing Python code in the Agent Framework repository. Use this when writing or modifying Python source files in the python/ directory.