documenting-code

A workflow for writing or updating documentation for people, coding agents, or developers, based on what the code actually does. It covers guides, instructions, architecture notes, API documentation, README files, and useful comments.

In plain words
What is it for?
Use it when documentation is missing, outdated, or needs to explain implementation behavior, setup, interfaces, architecture, or correct agent operation.
Why use it?
It keeps documentation focused on real behavior instead of guesses or unnecessary detail. It also adapts the format and level of explanation to the intended reader.

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/alexei-led/cc-thingz/documenting-code
Any agent
npx skills add alexei-led/cc-thingz --skill documenting-code
Clone the repo
git clone --depth 1 https://github.com/alexei-led/cc-thingz

Made for: Claude Code, Codex.

Per session 65 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,094 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 $0.00065 $0.01094
Opus 5 $0.00032 $0.00547
Sonnet 5 $0.00013 $0.00219
Haiku 4.5 $0.00006 $0.00109

Measured 2d ago against content hash 405e11d394cf, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

documenting-code 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 2d 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.

src/skills/documenting-code/SKILL.md · 153 lines

How it starts

The opening of the file, as written. The whole thing — 153 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Documenting Code

Update only useful documentation. Start from code facts, identify the reader, and make the smallest doc change that helps that reader act correctly.

Role-gated action

Detect capability from tools, not prose:

  • Write-capable role: edit docs and run validation.
  • Read-only role: apply nothing; emit proposed edits in the output contract.

Reader model

Choose the reader before writing.

Human reader:

  • Make docs scannable: clear title, short overview, focused sections, examples.
  • Keep docs short. Link to detail instead of creating long reads.
  • Use Mermaid diagrams only when they answer a real structure, flow, lifecycle, ownership, or trade-off question.
  • Match the existing docs style. Do not invent fonts, colors, or custom visual treatment unless the docs system already supports it.

Agent reader:

  • Write terse operational instructions for LLMs.
  • Prefer headers, bullets, numbered steps, and exact contracts.
  • Remove generic knowledge, duplicate rules, pretty formatting, diagrams, tables, long rationale, and advice the model already knows.
  • If the task is to review or score agent instructions, use reviewing-instructions.

Code reader:

  • Comments and docstrings explain contracts, constraints, invariants, side effects, error behavior, and non-obvious decisions.
  • Delete comments that paraphrase code.
  • Avoid comments in tests unless they explain non-obvious external behavior or why an edge case matters.

Language references

Load only references matching changed implementation files:

  • C# /.NET: references/csharp.md
  • Go: references/go.md
  • Java/Kotlin: references/java-kotlin.md
  • Python: references/python.md
  • Rust: references/rust.md
  • TypeScript: references/typescript.md
  • Web: references/web.md

Mixed languages: load each matching reference. Unknown language: use this file only.

Workflow

  1. Identify scope from the user request or changed files. Do not ask if scope is clear.
  2. Read relevant implementation, tests, and existing docs before writing.
  3. Decide reader type: human, agent, code reader, or mixed.
  4. Check docs against current behavior. Code wins unless the user says docs define the intended contract.
  5. Use looking-up-docs only when external API syntax or behavior is uncertain.
  6. Use one bounded read-only subagent only for large doc audits; verify its claims before editing.
  7. Update the smallest useful docs. Do not create speculative docs.
  8. Verify with the narrowest docs or repo checks available.

Read the full file on GitHub · 153 lines

Files

What ships with it

8 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. 2d ago First seen · 153 lines · 65 tokens per session scan A 405e11d394cf

Subscribe to this mod's changes

documenting-code is a skill published in the GitHub repository alexei-led/cc-thingz (35 stars, last pushed 1mo ago), licensed MIT. It adds 65 tokens to every session and 1,094 once invoked, about $0.0003 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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