docs

docs is a skill for Claude Code, Codex from jmylchreest/aide. It costs 7 tokens per session (1,290 once invoked), scanned A, original, MIT.

A documentation assistant that updates project documentation to match code that has already been implemented and verified. It covers user instructions, APIs, inline explanations, and architecture notes where relevant.

In plain words
What is it for?
Use it to inspect changed files and existing documentation, then update installation steps, commands, configuration, API details, examples, error behavior, algorithms, and architecture changes.
Why use it?
It prevents README files and other documentation from describing old commands, settings, dependencies, interfaces, or system structure.

Skill for Claude CodeCodex

Part of the aide plugin — 26 skills, 9 agents shipped together

Install

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.

agentmods
npx agentmods add skills/jmylchreest/aide/docs
Any agent
npx skills add jmylchreest/aide --skill docs
Clone the repo
git clone --depth 1 https://github.com/jmylchreest/aide

Made for: Claude Code, Codex.

Or install aide, the plugin that ships this one along with the rest of its 26 skills, 9 agents.

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 docs

README.md
[![agentmods](https://agentmods.dev/badge/skills/jmylchreest/aide/docs.svg)](https://agentmods.dev/skills/jmylchreest/aide/docs)
Your own site
<a href="https://agentmods.dev/skills/jmylchreest/aide/docs"><img src="https://agentmods.dev/badge/skills/jmylchreest/aide/docs.svg" alt="Measured on agentmods" height="20"></a>
Per session 7 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,290 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00007 $0.01290
Opus 5 $0.00003 $0.00645
Sonnet 5 $0.00001 $0.00258
Haiku 4.5 $0.00001 $0.00129

Measured 5d ago against content hash 934428c977a4, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

docs 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 5d 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.

skills/docs/SKILL.md · 270 lines

How it starts

The opening of the file, as written. The whole thing — 270 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Documentation Mode

Recommended model tier: balanced (sonnet) - this skill performs straightforward operations

Update documentation to accurately reflect the implemented code.

Purpose

This is the DOCS stage of the SDLC pipeline. Implementation is complete and verified. Your job is to ensure documentation matches reality.

What to Document

1. README Updates

If the feature affects how users interact with the project:

  • Installation steps changed?
  • New commands or options?
  • New configuration?
  • New dependencies?

2. API Documentation

If public APIs were added or changed:

  • Function/method signatures
  • Parameters and return types
  • Usage examples
  • Error conditions

3. Inline Documentation

If code needs explanation:

  • Complex algorithms
  • Non-obvious design decisions
  • Integration points
  • Edge cases

4. Architecture Docs

If structure changed:

  • New components
  • Changed data flow
  • New dependencies between modules

Workflow

Step 1: Identify Changed Files

# See what was changed
git diff --name-only HEAD~5  # or appropriate range

# Find related docs
Glob for **/*.md
Glob for **/docs/**/*

Step 2: Check Existing Documentation

Read current docs that might be affected:

Read README.md
Read docs/api.md  # if exists
Read CHANGELOG.md  # if exists

Step 3: Read the Implementation

Understand what was built:

  • Read the new code files
  • Use mcp__plugin_aide_aide__decision_get with the feature topic to check design decisions
  • Use mcp__plugin_aide_aide__decision_list to see all decisions

Step 4: Update Documentation

README.md Updates

Add/update sections as needed:

## New Feature

Description of what it does.

### Usage

\`\`\`bash
command --new-flag
\`\`\`

### Configuration

| Option | Type | Default | Description |
|--------|------|---------|-------------|
| newOption | string | "default" | What it does |
API Documentation

Document public interfaces:

### functionName(param1, param2)

Brief description.

**Parameters:**
- `param1` (string): What it is
- `param2` (number, optional): What it does. Default: 10

**Returns:** `Promise<Result>`

**Example:**
\`\`\`typescript
const result = await functionName("input", 20);
\`\`\`

**Throws:**
- `ValidationError`: When param1 is empty

Read the full file on GitHub · 270 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. 5d ago First seen · 270 lines · 7 tokens per session scan A 934428c977a4

Subscribe to this mod's changes

docs is a skill published in the GitHub repository jmylchreest/aide (16 stars, last pushed 5d ago), licensed MIT. It adds 7 tokens to every session and 1,290 once invoked, about $0.0000 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 2026-08-30.

Related

Other skills, from other repositories

rulesync

Generates and syncs AI rule configuration files (.cursorrules, CLAUDE.md, copilot-instructions.md) across 20+ coding tools from a single source. Use when syncing AI rules, running rulesync commands, importing or generating rule files, or managing shared AI coding configurations.

dyoshikawa/rulesync · 64 tokens

loop

Full execution protocol for MODE: LOOP — the compound-engineering loop: brainstorm → plan → build → review → improve, iterating under defense-in-depth stop conditions with generator/critic separation, durable resumable state, and mandatory compounding learning capture. Loaded on demand by the architect when the loop…

ZaxbyHub/opencode-swarm · 72 tokens

restore-internals-seams-in-finally-blocks-after-each-test

When delegating a task affected by this skill, include.

ZaxbyHub/opencode-swarm · 26 tokens

loongsuite-pilot-insight

基于 LoongSuite Pilot / AI Coding Agent 日志生成事件洞察、组织洞察、数据质量、研发效能和 AI Native 使用类 SLS 报表时使用;包含 AI Coding 事件表语义,以及团队报表可选的部门维表、deptuser 组织关系、指标口径和公共 CTE,通常与 sls-dashboard-builder 一起使用。.

alibaba/loongsuite-pilot · 91 tokens

map-fast

Minimal workflow for small, low-risk changes — no planning, no learning.

azalio/map-framework · 17 tokens

ring:mapping-feature-relationships

Mapping how features relate and phasing the work: categorizing PRD features, grouping them into domains, charting cross-feature journeys, dependencies, and integration points, and defining the binding Phases that plan.md mirrors one-to-one at Gate 7. Gate 2 of ring:planning-large-features; runs after…

LerianStudio/ring · 104 tokens