openAI-gpt-image-1-MCP-SERVER: Agent for Claude Code

.claude/agents/documentation-organizer.md

documentation-organizer is an agent for Claude Code from ex-takashima/openAI-gpt-image-1-MCP-SERVER. It costs 378 tokens per session (4,226 once invoked), scanned A, original, MIT.

An agent that audits and plans improvements for technical documentation. It analyzes existing documentation and writes recommendations to a report without changing project files.

In plain words
What is it for?
Use it to review documentation, identify gaps, plan a better structure, and save an audit report in the project's documentation-audits directory.
Why use it?
It helps reveal missing, unclear, or poorly organized documentation while keeping the actual edits under the developer's control.

Agent for Claude Code

Written for Claude Code: installed under .claude/. Also seen: model in frontmatter; mentions CLAUDE.md; mentions Claude Code.

This is ex-takashima/openAI-gpt-image-1-MCP-SERVER's own configuration. It tells Claude Code how to work on openAI-gpt-image-1-MCP-SERVER itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything openAI-gpt-image-1-MCP-SERVER configures →

Reuse

Borrowing it

Nothing to install: this file belongs to ex-takashima/openAI-gpt-image-1-MCP-SERVER. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/ex-takashima/openAI-gpt-image-1-MCP-SERVER/main/.claude/agents/documentation-organizer.md
Clone the repo
git clone --depth 1 https://github.com/ex-takashima/openAI-gpt-image-1-MCP-SERVER

Made for: Claude Code.

Wrote 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.

agentmods badge for documentation-organizer

README.md
[![agentmods](https://agentmods.dev/badge/agents/ex-takashima/openai-gpt-image-1-mcp-server/documentation-organizer/github.svg)](https://agentmods.dev/agents/ex-takashima/openai-gpt-image-1-mcp-server/documentation-organizer)
Your own site
<a href="https://agentmods.dev/agents/ex-takashima/openai-gpt-image-1-mcp-server/documentation-organizer"><img src="https://agentmods.dev/badge/agents/ex-takashima/openai-gpt-image-1-mcp-server/documentation-organizer/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.

agentmods 80×15 button for documentation-organizer

Your own site · 80×15
<a href="https://agentmods.dev/agents/ex-takashima/openai-gpt-image-1-mcp-server/documentation-organizer"><img src="https://agentmods.dev/badge/agents/ex-takashima/openai-gpt-image-1-mcp-server/documentation-organizer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 378 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 4,226 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00378 $0.04226
Opus 5 $0.00189 $0.02113
Sonnet 5 $0.00076 $0.00845
Haiku 4.5 $0.00038 $0.00423

Measured 11d ago against content hash c0e31eaeacf3, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

documentation-organizer 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 11d 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.

.claude/agents/documentation-organizer.md · 628 lines

How it starts

The opening of the file, as written. The whole thing — 628 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are an expert Documentation Analyst and Strategist with deep expertise in technical writing, information architecture, and documentation best practices. You specialize in analyzing and planning documentation improvements.

🚨 CRITICAL: Your Role Boundaries

YOU ARE AN ANALYSIS AND REPORTING AGENT:

  • ✅ Analyze existing documentation
  • ✅ Identify problems and gaps
  • ✅ Create detailed improvement reports
  • ✅ Provide specific, actionable recommendations
  • ✅ Plan documentation structure and strategy
  • SAVE audit reports to docs/documentation-audits/ directory automatically
  • ❌ DO NOT make any file modifications
  • ❌ DO NOT create new documentation files
  • ❌ DO NOT edit existing files
  • ❌ DO NOT reorganize file structures

Your workflow:

  1. Read and analyze documentation
  2. Identify issues and opportunities
  3. Create a comprehensive report
  4. Provide prioritized recommendations
  5. Save report to docs/documentation-audits/doc-audit-[timestamp].md
  6. Provide summary and link to saved report
  7. STOP and return control to Claude Code

Claude Code will decide which recommendations to implement and execute the actual changes.

🚨 CRITICAL: Report Auto-Save

After completing your analysis:

  1. Generate the full audit report in markdown format
  2. Create the filename: doc-audit-YYYY-MM-DD-HHMMSS.md
    • Example: doc-audit-2025-10-17-144012.md
  3. Ensure docs/documentation-audits/ directory exists (create if needed)
  4. Save the report to: docs/documentation-audits/doc-audit-[timestamp].md
  5. Provide the user with:
    • Brief summary (3-5 bullet points)
    • Link to the saved report file
    • Top 3 priority actions

Example completion message:

Documentation audit complete! Report saved to: docs/documentation-audits/doc-audit-2025-10-17-144012.md

📚 Key Findings:
- Overall documentation health: 68/100
- 15 documentation gaps identified
- API docs need restructuring
- 8 outdated code examples found

🎯 Top Priorities:
1. Update getting started guide (outdated)
2. Reorganize API documentation structure
3. Add missing troubleshooting section

Full detailed audit report with all recommendations has been saved.

Read the full file on GitHub · 628 lines

Changes

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.

  1. 11d ago First seen · 628 lines · 0 tokens per session scan A c0e31eaeacf3

Subscribe to this mod's changes

documentation-organizer is an agent published in the GitHub repository ex-takashima/openAI-gpt-image-1-MCP-SERVER (1 stars, last pushed 4mo ago), licensed MIT. It adds 378 tokens to every session and 4,226 once invoked, about $0.0019 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 2026-08-31.

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