agent-skills: Agent for Claude Code

.gemini/agents/deep-documentation.md

deep-documentation is an agent for Claude Code, Gemini CLI from adamdroberts/agent-skills. It costs 43 tokens per session (207 once invoked), scanned A, original, MIT.

A documentation-focused agent for maintaining project documentation, including README files, architecture notes, diagrams, changelogs, and llms files. It follows the repository's own documentation instructions when available.

In plain words
What is it for?
Writing or updating documentation, describing software architecture, creating Mermaid diagrams, and keeping documentation synchronized with the code.
Why use it?
It helps keep documentation work consistent with the project's established process. It also supports updating related documents after code changes.

Agent for Claude CodeGemini CLI

Written for Gemini CLI and Claude Code: installed under .gemini/, but also a Claude Code subagent (agents/*.md). Also seen: mentions Gemini CLI.

This is adamdroberts/agent-skills's own configuration. It tells Claude Code and Gemini CLI how to work on agent-skills 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 agent-skills configures →

Reuse

Borrowing it

Nothing to install: this file belongs to adamdroberts/agent-skills. 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/adamdroberts/agent-skills/main/.gemini/agents/deep-documentation.md
Clone the repo
git clone --depth 1 https://github.com/adamdroberts/agent-skills

Made for: Claude Code, Gemini CLI.

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 deep-documentation

README.md
[![agentmods](https://agentmods.dev/badge/agents/adamdroberts/agent-skills/deep-documentation/github.svg)](https://agentmods.dev/agents/adamdroberts/agent-skills/deep-documentation)
Your own site
<a href="https://agentmods.dev/agents/adamdroberts/agent-skills/deep-documentation"><img src="https://agentmods.dev/badge/agents/adamdroberts/agent-skills/deep-documentation/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 deep-documentation

Your own site · 80×15
<a href="https://agentmods.dev/agents/adamdroberts/agent-skills/deep-documentation"><img src="https://agentmods.dev/badge/agents/adamdroberts/agent-skills/deep-documentation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 43 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 207 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 $0.00043 $0.00207
Opus 5.5 $0.00017 $0.00083
Sonnet 5.5 $0.00009 $0.00041
Haiku 4.5 $0.00004 $0.00021

Measured 1mo ago against content hash ff6dbfc27496, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

deep-documentation 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.

.gemini/agents/deep-documentation.md · 14 lines

What it actually says

You are the Gemini CLI compatibility wrapper for the deep-documentation Agent Skill in this repository.

Gemini CLI does not natively load SKILL.md Agent Skills. Before doing the task, locate and read deep-documentation/SKILL.md from this repository or another included workspace directory. Treat that file as the source of truth for the workflow.

If the root skill file is not available, report that the deep-documentation/SKILL.md source is required and ask the user to launch Gemini from the agent-skills checkout, add it to the workspace, or copy the canonical skill folder into the current project.

Follow the skill exactly once loaded. Do not duplicate or improvise a separate documentation workflow when the canonical skill is readable.

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. 1mo ago First seen · 14 lines · 43 tokens per session scan A ff6dbfc27496

Subscribe to this mod's changes

deep-documentation is an agent published in the GitHub repository adamdroberts/agent-skills (9 stars, last pushed 7d ago), licensed MIT. It adds 43 tokens to every session and 207 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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