fix-docs

fix-docs is a skill for Claude Code, Codex from marin-community/marin. It costs 27 tokens per session (499 once invoked), scanned A, original, Apache-2.0.

A narrowly scoped documentation-maintenance workflow for Markdown files under three specified library directories.

In plain words
What is it for?
Use it to inspect the code and docs, update the allowed Markdown files, coordinate the documentation work, and create one local commit.
Why use it?
It prevents unrelated documentation changes and helps keep agent-facing guidance accurate as the code changes.

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/marin-community/marin/fix-docs
Any agent
npx skills add marin-community/marin --skill fix-docs
Clone the repo
git clone --depth 1 https://github.com/marin-community/marin

Made for: Claude Code, Codex.

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 fix-docs

README.md
[![agentmods](https://agentmods.dev/badge/skills/marin-community/marin/fix-docs.svg)](https://agentmods.dev/skills/marin-community/marin/fix-docs)
Your own site
<a href="https://agentmods.dev/skills/marin-community/marin/fix-docs"><img src="https://agentmods.dev/badge/skills/marin-community/marin/fix-docs.svg" alt="Measured on agentmods" height="20"></a>
Per session 27 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 499 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 $0.00027 $0.00499
Opus 5 $0.00014 $0.00249
Sonnet 5 $0.00005 $0.00100
Haiku 4.5 $0.00003 $0.00050

Measured 4d ago against content hash 5018111e5c43, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

fix-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 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.

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/fix-docs/SKILL.md · 43 lines

What it actually says

Fix the markdown docs within lib/iris, lib/zephyr and lib/fray so they comply with the principles below. Do NOT touch docs outside those directories.

Output: dispatch sub-agents that (1) parse the code and docs and (2) make the documentation changes locally. Commit the changes into a single local commit, inform the user, and summarize what changed. Never push without explicit user approval.

Principles

  • Agents are the primary consumers of documentation. Coding agents write most Marin code; humans use agents as "documentation brokers". Segregate docs by audience:
    • Human docs live in docs/ — high-level, "getting started", concise.
    • Agent docs live in the directory tree next to the code they describe — token-efficient.
  • Agentic docs follow standards so agents know where to look. Entry points:
    • **/AGENTS.md — targeted agent guidance for the subtree, plus a recursive ToC/index of subtree content.
    • **/OPS.md — field guide for gathering telemetry, running commands, and debugging the systems in the subtree.
    • .agents/skills/*/SKILL.md — prompts for common agentic workflows.
  • Avoid rot. Rot confuses agents and wastes context. When a doc is out of date with the code: update it (if recent and the change is small) or archive it to .agents/projects/<YYYYMMDD>_<filename>.md (if historical-only; date from the first commit via git). The code is the source of truth.
  • Context quality and quantity are paramount. Model performance degrades on a full context window. Agent docs should focus on:
    • "Negative guidance": assume agents are smart; document sharp edges based on observed suboptimal agent behavior.
    • Using markdown as indexes/ToC for context efficiency ("for X, read file Y").

Common issues

  • Stale design docs that guided initial system design — move to .agents/projects/<YYYYMMDD>_<filename>.md, dated from the first commit (git).
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. 4d ago First seen · 43 lines · 27 tokens per session scan A 5018111e5c43

Subscribe to this mod's changes

fix-docs is a skill published in the GitHub repository marin-community/marin (3,354 stars, last pushed today), licensed Apache-2.0. It adds 27 tokens to every session and 499 once invoked, about $0.0001 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

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

brainstorming

You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.

obra/superpowers · 37 tokens

auto-perf-optimize

Run agent-driven VS Code performance or memory investigations. Use when asked to launch Code OSS, automate a VS Code scenario, run the Chat memory smoke runner, capture renderer heap snapshots, take workflow screenshots, compare run summaries, or drive a repeatable scenario before heap-snapshot analysis.

microsoft/vscode · 62 tokens

chat-perf

Run chat perf benchmarks and memory leak checks against the local dev build or any published VS Code version. Use when investigating chat rendering regressions, validating perf-sensitive changes to chat UI, or checking for memory leaks in the chat response pipeline.

microsoft/vscode · 51 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens