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/matteocervelli/llms/documentation-updaternpx skills add matteocervelli/llms --skill documentation-updatergit clone --depth 1 https://github.com/matteocervelli/llmsWrote 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/matteocervelli/llms/documentation-updater)<a href="https://agentmods.dev/skills/matteocervelli/llms/documentation-updater"><img src="https://agentmods.dev/badge/skills/matteocervelli/llms/documentation-updater.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 | $0.00032 | $0.04341 |
| Opus 5 | $0.00016 | $0.02171 |
| Sonnet 5 | $0.00006 | $0.00868 |
| Haiku 4.5 | $0.00003 | $0.00434 |
Grade A, and why
documentation-updater 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.
How it starts
The opening of the file, as written. The whole thing — 872 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Documentation Updater Skill
Purpose
This skill provides systematic guidance for updating all types of project documentation when finalizing feature implementations, ensuring comprehensive, accurate, and well-structured documentation.
When to Use
- After feature implementation and validation are complete
- Need to document implementation details
- Creating or updating user guides
- Updating API documentation
- Adding architecture diagrams
- Documenting configuration changes
Documentation Update Workflow
1. Implementation Documentation
Objective: Document how the feature was implemented for developers and maintainers.
Location: docs/implementation/issue-<number>-<feature-name>.md
Template:
# Implementation: Issue #<number> - <Feature Name>
## Overview
Brief description of what was implemented and why.
## Solution Approach
Detailed explanation of the implementation approach:
- Architecture pattern used (e.g., repository pattern, service layer)
- Key design decisions and rationale
- Trade-offs considered
- Alternative approaches rejected and why
## Architecture
### Component Structure
src/tools/feature/ ├── init.py # Public API exports ├── models.py # Data models (Pydantic) ├── interfaces.py # Abstract interfaces ├── core.py # Business logic ├── repository.py # Data access layer ├── validators.py # Input validation └── exceptions.py # Custom exceptions
### Data Flow
[Describe how data flows through the system]
### Key Components
#### ComponentName
- **Purpose**: [What it does]
- **Responsibilities**: [What it's responsible for]
- **Dependencies**: [What it depends on]
## Implementation Details
### Models
[Document Pydantic models and their fields]
### Business Logic
[Document core algorithms and workflows]
### Data Access
[Document repository methods and database interactions]
### Validation
[Document validation rules and error handling]
## Security Measures
- **Authentication**: [How auth is handled]
- **Authorization**: [Permission checks implemented]
- **Input Validation**: [Validation at entry points]
- **Output Sanitization**: [XSS prevention measures]
- **Data Protection**: [Encryption, secure storage]
- **Secrets Management**: [How secrets are handled]
## Performance Optimizations
- **Caching**: [Caching strategy if applicable]
- **Database**: [Query optimization, indexing]
- **Async Operations**: [Use of async/await]
- **Resource Management**: [Memory, connections]
- **Response Times**: [Measured response times]
## Testing
- **Unit Test Coverage**: [percentage]%
- **Integration Tests**: [what's covered]
- **Security Tests**: [auth, validation, etc.]
- **Performance Tests**: [benchmarks met]
- **Edge Cases**: [scenarios tested]
## Configuration
Environment variables required:
```bash
FEATURE_API_KEY=your_api_key
FEATURE_TIMEOUT=30
FEATURE_DEBUG=false
Dependencies
New dependencies added:
package-name==version: [reason for dependency]
Breaking Changes
[List any breaking changes or "None"]
Migration Notes
[Steps needed to migrate or "None required"]
Known Issues
- [Issue 1]: [Description and workaround]
Future Enhancements
References
- Original Issue: #
- Pull Request: #
- Related Issues: #
- Design Document: docs/architecture/.md
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 · 872 lines · 32 tokens per session scan A 90b01dd79310
documentation-updater is a skill published in the GitHub repository matteocervelli/llms (25 stars, last pushed 3mo ago), licensed MIT. It adds 32 tokens to every session and 4,341 once invoked, about $0.0002 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 2026-09-01.
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