wise-code-comments

A writing guide for code comments and docstrings, which are notes inside source code that explain facts or constraints to future readers.

In plain words
What is it for?
Use it whenever you add, edit, or review a code comment, docstring, or inline note.
Why use it?
It prevents comments from becoming vague, repetitive, outdated, or filled with jargon. It gives comments consistent rules across programming languages.

Skill for Claude CodeCodex

Part of the wise plugin — 32 skills, 22 agents, 1 hook 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/e1024kb/wise-claude/wise-code-comments
Any agent
npx skills add e1024kb/wise-claude --skill wise-code-comments
Clone the repo
git clone --depth 1 https://github.com/e1024kb/wise-claude

Made for: Claude Code, Codex.

Or install wise, the plugin that ships this one along with the rest of its 32 skills, 22 agents, 1 hook.

Per session 132 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 893 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 $0.00132 $0.00893
Opus 5 $0.00066 $0.00447
Sonnet 5 $0.00026 $0.00179
Haiku 4.5 $0.00013 $0.00089

Measured 2d ago against content hash a80a4626635f, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

wise-code-comments 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.

plugins/wise/skills/wise-code-comments/SKILL.md · 113 lines

How it starts

The opening of the file, as written. The whole thing — 113 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Code-comment standards

Standing contract for every code comment and docstring wise writes, in any language. No slash command - it is auto-consulted whenever comments are written or edited.

The rules (MUST)

  1. ELI5 wording. Write so a developer new to the codebase understands the comment on first read. Plain words, short sentences, the simplest domain term that carries the fact. No jargon a newcomer would have to look up when a common word works.

  2. Concise. One comment states one fact, once. If the comment can lose a word without losing the fact, lose the word. A comment that restates what the line below obviously does is deleted, not shortened.

  3. Present-tense facts only. Describe what the code does or what constraint it obeys now. The comment must stay true when read in isolation years later by someone with no access to the project's history.

  4. No history. Never explain how the code came to be: no ticket numbers as narrative ("in PROJ-12345 we refactored this to ..."), no "previously this used X", no "changed to fix the bug where ...", no "now correctly handles ...". History lives in commit messages, PR descriptions, and tickets.

  5. No author-to-reviewer talk. A comment never justifies the change to whoever is reading the diff ("this is safe because we already validated above"). If the fact matters to every future reader, state the fact itself; otherwise put it in the PR.

What a comment is for

The code shows what it does. A comment earns its place only when it carries something the code cannot show:

  • a constraint ("callers hold the lock before entering")
  • a non-obvious reason ("the API returns 200 on partial failure, so check the body")
  • a unit, range, or format ("timeout in milliseconds")
  • a warning ("order matters: flush before close or data is lost")

Examples

Bad (history, narration):

// In ticket WISE-12345 we refactored this in order to avoid the
// race condition we had with the old cache implementation.
func loadConfig() {...}

Read the full file on GitHub · 113 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. 2d ago First seen · 113 lines · 132 tokens per session scan A a80a4626635f

Subscribe to this mod's changes

wise-code-comments is a skill published in the GitHub repository e1024kb/wise-claude (4 stars, last pushed 7d ago), licensed MIT. It adds 132 tokens to every session and 893 once invoked, about $0.0007 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 2026-08-31.

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