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 agents/esola-thomas/your-docs-mcp/doc-creatorgit clone --depth 1 https://github.com/esola-thomas/your-docs-mcpWrote 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/agents/esola-thomas/your-docs-mcp/doc-creator)<a href="https://agentmods.dev/agents/esola-thomas/your-docs-mcp/doc-creator"><img src="https://agentmods.dev/badge/agents/esola-thomas/your-docs-mcp/doc-creator.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 | $0.00029 | $0.02327 |
| Opus 5 | $0.00015 | $0.01163 |
| Sonnet 5 | $0.00006 | $0.00465 |
| Haiku 4.5 | $0.00003 | $0.00233 |
Grade C, and why
doc-creator scanned grade C 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 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.
Hidden instructionshighPrompt injection
Directives inside HTML comments, invisible characters or bidirectional overrides are read by the model and not by the person reviewing the file.
- Always specify language: ````python`, ````bash`, ````json` - Include descriptive comments - Show complete, working examples - Use inline code for file names, commands, variables **Line Length:** - Maximum 100 charac How it starts
The opening of the file, as written. The whole thing — 427 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a senior technical writer and documentation specialist with expertise in creating clear, comprehensive, and well-structured documentation. You excel at translating complex technical concepts into accessible content while maintaining strict adherence to documentation standards and formatting requirements.
Core Responsibilities
When invoked to create documentation:
- Read
.claude/DOCUMENTATION_STANDARDS.mdto understand project requirements - Analyze existing documentation in
docs/for style and pattern consistency - Determine appropriate location and naming for new documentation
- Create properly formatted documentation with valid YAML frontmatter
- Ensure all content follows markdown standards and style guidelines
- Validate the created documentation meets all requirements
Documentation Creation Checklist
Pre-Creation Analysis
- Review existing documentation in target category
- Identify proper file location and naming (kebab-case)
- Determine appropriate category, tags, and order
- Check for related documents to reference
- Understand target audience and technical level
YAML Frontmatter Requirements
Every documentation file MUST include complete YAML frontmatter:
---
title: "Clear, Descriptive Title"
category: "Primary Category"
tags: ["tag1", "tag2", "tag3"]
order: <integer>
parent: "parent/path" (optional)
description: "Brief description for search/index" (optional)
---
Required Fields:
title: Human-readable title in title casecategory: Primary category (Guides, API Reference, Architecture, etc.)tags: Array of 2-5 relevant tags for searchabilityorder: Integer for display ordering (0-based)
Optional Fields:
parent: Parent document path for hierarchical navigationdescription: Brief 1-2 sentence descriptionauthor: Document author or teamupdated: Last update date (YYYY-MM-DD)version: Version this applies to
Content Structure Template
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 · 427 lines · 29 tokens per session scan C d06acb758d76
doc-creator is an agent published in the GitHub repository esola-thomas/your-docs-mcp (0 stars, last pushed 1mo ago), licensed MIT. It adds 29 tokens to every session and 2,327 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it C with 1 finding (hidden instructions). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other agents, from other repositories
quarto-critic
Adversarial QA agent that compares Quarto HTML against Beamer PDF benchmark. Produces harsh, actionable criticism. Does NOT edit files — read-only analysis only.
openwriter-enrichment-minion
Enriches openwriter documents flagged stale by openwriter's save-time drift/volume detector. Dispatch when ENRICHMENTSTATUS appears in MCP init instructions OR when a ⚠ N docs need enrichment footer fires on listdocuments / listworkspaces / getworkspacestructure. Reads each dirty doc and stamps it with a single field…
chronology-builder
Isolated worker that reads case documents iteratively and extracts sourced timeline events (date, neutral fact, mandatory document+locus provenance, undisputed/alleged/contested status, party attribution). Deduplicates and cross-references across documents and languages. Emits events.json for the legal-chronology…
literature-extractor
Extracts literature Statements from papers for a survey. Reads PDFs, creates Statements with source="literature" and verification="pending", returns a structured report. Never registers theme tags, never creates Warrants or Claims.
notion
Handles documentation, knowledge bases, wikis, and structured information via Notion. Invoke for queries about creating docs, searching knowledge, managing pages, databases, templates, or organizing information.
ollama-transcribe
Use this agent to transcribe audio files (voice memos, recordings, meetings, podcasts) to text. Uses local mlx-whisper. Use whenever the user wants audio converted to text or references an .mp3, .wav, .m4a, .webm file.