Borrowing it
Nothing to install: this file belongs to basher83/agent-auditor. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/basher83/agent-auditor/main/.claude/skills/doc-generator/SKILL.mdgit clone --depth 1 https://github.com/basher83/agent-auditorWrote 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/basher83/agent-auditor/doc-generator)<a href="https://agentmods.dev/skills/basher83/agent-auditor/doc-generator"><img src="https://agentmods.dev/badge/skills/basher83/agent-auditor/doc-generator/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/basher83/agent-auditor/doc-generator"><img src="https://agentmods.dev/badge/skills/basher83/agent-auditor/doc-generator.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 | $0.00048 | $0.00526 |
| Opus 5.5 | $0.00019 | $0.00210 |
| Sonnet 5.5 | $0.00010 | $0.00105 |
| Haiku 4.5 | $0.00005 | $0.00053 |
Grade A, and why
doc-generator 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.
How it starts
The opening of the file, as written. The whole thing — 97 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Python Documentation Generator
Generate comprehensive markdown documentation from Python source code.
When to Use This Skill
- User asks to "document this code" or "generate docs"
- Creating API documentation from Python modules
- Generating README files with usage examples
- Extracting docstrings and type signatures into readable format
- User mentions "documentation", "docstrings", or "API reference"
Input
Accept either:
- Single Python file path
- Directory path (recursively process .py files)
- List of specific files
Output Format
Generate standard markdown with:
# Module Name
Brief description from module docstring.
## Classes
### ClassName
Description from class docstring.
**Methods:**
- `method_name(param: type) -> return_type`: Brief description
## Functions
### function_name(param: type) -> return_type
Description from docstring.
**Parameters:**
- `param` (type): Description
**Returns:**
- type: Description
## Usage Examples
```python
# Extract from docstring examples or generate basic usage
## Analysis Approach
1. **Parse Python files** using AST or inspection
2. **Extract key elements:**
- Module-level docstrings
- Class definitions and docstrings
- Function/method signatures with type hints
- Docstring content (support Google, NumPy, Sphinx formats)
3. **Organize hierarchically** (modules -> classes -> methods -> functions)
4. **Generate clean markdown** with consistent formatting
## Quality Guidelines
- Preserve original docstring formatting when meaningful
- Include type hints prominently in signatures
- Group related items (all classes together, all functions together)
- Add table of contents for large modules
- Skip private members (leading underscore) unless explicitly requested
- Handle missing docstrings gracefully (note "No description provided")
## Python Tools
Prefer standard library:
- `ast` module for parsing
- `inspect` module for runtime introspection
- `pathlib` for file handling
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 · 97 lines · 48 tokens per session scan A 961ba8209c04
doc-generator is a skill published in the GitHub repository basher83/agent-auditor (5 stars, last pushed 7mo ago), licensed MIT. It adds 48 tokens to every session and 526 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 2026-08-31.
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