coding.improve_code_for_humans

A code-readability task that adds brief comments and debug log messages to Python functions.

In plain words
What is it for?
Use it to make Python files easier to read and to record when functions start, run, and finish.
Why use it?
It helps developers understand what code is doing and trace function calls when investigating problems, without changing behavior.

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/causify-ai/helpers/coding.improve_code_for_humans
Any agent
npx skills add causify-ai/helpers --skill coding.improve_code_for_humans
Clone the repo
git clone --depth 1 https://github.com/causify-ai/helpers

Made for: Claude Code, Codex.

Per session 9 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 167 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 $0.00009 $0.00167
Opus 5 $0.00005 $0.00084
Sonnet 5 $0.00002 $0.00033
Haiku 4.5 $0.00001 $0.00017

Measured 2d ago against content hash 02cf4f48f6ab, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

coding.improve_code_for_humans 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.

.claude/skills/coding.improve_code_for_humans/SKILL.md · 23 lines

What it actually says

Goal

The user will pass you one of more files <FILES> and you will make the code more readable and debuggable for humans.

Workflow

Add Comments

  • Improve code readability by adding concise comments.
  • Follow the section # Comments from the file .claude/skills/coding.rules.md

Add Debug Logging for Function Entry, Execution, and Results

  • Track function execution by adding _LOG.debug statements.
  • Follow the section # Logging from the file .claude/skills/coding.rules.md

Conventions

  • Do not change the behavior of the code in any way
  • You must follow the rules in .claude/skills/coding.rules.md
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 · 23 lines · 9 tokens per session scan A 02cf4f48f6ab

Subscribe to this mod's changes

coding.improve_code_for_humans is a skill published in the GitHub repository causify-ai/helpers (145 stars, last pushed 2d ago), licensed Apache-2.0. It adds 9 tokens to every session and 167 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.

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