docs-sync

A documentation audit that compares a project's main-branch code and configuration with the English files in docs/. It looks for missing, incorrect, or outdated explanations of user-facing behavior.

In plain words
What is it for?
Use it to audit documentation coverage, identify gaps, and propose targeted updates or a clearer documentation structure. It does not update translated documentation.
Why use it?
It helps keep documentation aligned with the code as features, settings, commands, and defaults change.

Skill for Claude CodeCodex

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/openai/openai-agents-python/docs-sync
Any agent
npx skills add openai/openai-agents-python --skill docs-sync
Clone the repo
git clone --depth 1 https://github.com/openai/openai-agents-python

Made for: Claude Code, Codex.

Per session 79 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,013 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 $0.00079 $0.01013
Opus 5 $0.00039 $0.00507
Sonnet 5 $0.00016 $0.00203
Haiku 4.5 $0.00008 $0.00101

Measured yesterday against content hash 5c50f9853843, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

docs-sync 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 yesterday.

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.

.agents/skills/docs-sync/SKILL.md · 78 lines

How it starts

The opening of the file, as written. The whole thing — 78 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Docs Sync

Overview

Identify doc coverage gaps and inaccuracies by comparing main branch features and configuration options against the current docs structure, then propose targeted improvements.

Workflow

  1. Confirm scope and base branch

    • Identify the current branch and default branch (usually main).
    • Prefer analyzing the current branch to keep work aligned with in-flight changes.
    • If the current branch is not main, analyze only the diff vs main to scope doc updates.
    • Avoid switching branches if it would disrupt local changes. Prefer read-only inspection such as git show main:<path>. If a separate checkout is genuinely required, stop and obtain the explicit approval required by AGENTS.md before creating or switching a worktree.
  2. Build a feature inventory from the selected scope

    • If on main: inventory the full surface area and review docs comprehensively.
    • If not on main: inventory only changes vs main (feature additions/changes/removals).
    • Focus on user-facing behavior: public exports, configuration options, environment variables, CLI commands, default values, and documented runtime behaviors.
    • Capture evidence for each item (file path + symbol/setting).
    • Use targeted search to find option types and feature flags (for example: rg "Settings", rg "Config", rg "os.environ", rg "OPENAI_").
    • When the topic involves OpenAI platform features, invoke $openai-knowledge to pull current details from the OpenAI Developer Docs MCP server instead of guessing, while treating the SDK source code as the source of truth when discrepancies appear.
  3. Doc-first pass: review existing pages

    • Walk each relevant page under docs/ (excluding docs/ja, docs/ko, and docs/zh).
    • Identify missing mentions of important, supported options (opt-in flags, env vars), customization points, or new features from src/agents/ and examples/.
    • Propose additions where users would reasonably expect to find them on that page.

Read the full file on GitHub · 78 lines

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. yesterday First seen · 78 lines · 79 tokens per session scan A 5c50f9853843

Subscribe to this mod's changes

docs-sync is a skill published in the GitHub repository openai/openai-agents-python (29,075 stars, last pushed 4d ago), licensed MIT. It adds 79 tokens to every session and 1,013 once invoked, about $0.0004 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.

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