renhua

renhua is a skill for Claude Code from bahayonghang/my-ai-cli-toolkit. It costs 87 tokens per session (1,399 once invoked), scanned A, original, MIT.

A Chinese-language editor for public AI and technology writing, including posts, threads, product notes, and technical essays. It removes formulaic AI-sounding phrasing while preserving facts, technical terms, judgment, and the writer’s voice.

In plain words
What is it for?
Use it to polish Chinese public-facing AI or technology drafts, make text sound more like the author, or diagnose wording that feels machine-written.
Why use it?
It helps make Chinese technical writing sound more direct and personal without changing its meaning.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter. Also seen: mentions Codex.

Good fit Use it to polish Chinese public-facing AI or technology drafts, make text sound more like the author, or diagnose wording that feels machine-written.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/bahayonghang/my-ai-cli-toolkit/renhua
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.

Any agent
npx skills add bahayonghang/my-ai-cli-toolkit --skill renhua
Clone the repo
git clone --depth 1 https://github.com/bahayonghang/my-ai-cli-toolkit

Made for: Claude Code.

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 renhua

README.md
[![agentmods](https://agentmods.dev/badge/skills/bahayonghang/my-ai-cli-toolkit/renhua.svg)](https://agentmods.dev/skills/bahayonghang/my-ai-cli-toolkit/renhua)
Your own site
<a href="https://agentmods.dev/skills/bahayonghang/my-ai-cli-toolkit/renhua"><img src="https://agentmods.dev/badge/skills/bahayonghang/my-ai-cli-toolkit/renhua.svg" alt="Measured on agentmods" height="20"></a>
Per session 87 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,399 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 5.1 $0.00087 $0.01399
Opus 5 $0.00044 $0.00700
Sonnet 5 $0.00017 $0.00280
Haiku 4.5 $0.00009 $0.00140

Measured 8d ago against content hash 6f573174f2b1, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-08, from the pricing page.

Security

Grade A, and why

renhua 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 8d ago.

The scan reads SKILL.md. This mod also ships 1 executable file (scripts/renhua_lint.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

skills/docs-writing-publishing/renhua/SKILL.md · 141 lines

How it starts

The opening of the file, as written. The whole thing — 141 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Renhua

Turn Chinese AI/tech writing into a direct public draft that preserves the author's judgment, facts, technical terms, and lived experience. Remove AI-flavored structure without flattening the author's voice.

Default output is the revised text only. Add diagnosis only when the user asks why a sentence feels AI-like or asks for audit-only feedback.

Paths starting with <skill-dir> are relative to this skill's base directory, announced when the skill loads. Substitute that literal path; it is not an environment variable.

When to Use

  • Chinese AI/tech public writing: posts, X/Twitter threads, technical essays, product notes, model reviews, internal notes being polished for publication.
  • Requests like 去AI味, 改得像本人, 写推特post, 精修中文AI技术文章, 这段太AI, 像模型写的, 顺滑但没作者判断.
  • Audit requests asking why a Chinese AI/tech paragraph feels AI-like.

When Not to Use

  • Academic papers, journal sections, dissertations, abstracts, or norm checks: use humanizer-paper.
  • Codebase-grounded README/API/architecture docs or JSDoc: use document-writer.
  • Tender, bid, procurement, RFP, or proposal documents: use bidwriter.
  • Paper intake, deep reading, DOI normalization, synthesis, or gap finding: use paper-workbench or the relevant research skill.
  • Detector-evasion framing such as "rewrite generated text so no AI detector flags it": refuse that framing and redirect to legitimate authorship work such as adding real tests, facts, evidence, and personal judgment.

Operating Priorities

  1. Preserve facts, numbers, product names, model names, dates, and technical terms.
  2. Preserve the author's stance and uncertainty. Do not make the text more neutral just to sound polished.
  3. Prefer concrete claims over abstractions. Keep specific tests, costs, model behavior, engineering details, and workflow observations.
  4. Remove structure shells before polishing words.
  5. Do not add new examples, data, quotes, or personal experience.

Core Workflow

Read the full file on GitHub · 141 lines

Files

What ships with it

4 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. 8d ago First seen · 141 lines · 87 tokens per session scan A 6f573174f2b1

Subscribe to this mod's changes

renhua is a skill published in the GitHub repository bahayonghang/my-ai-cli-toolkit (16 stars, last pushed today), licensed MIT. It adds 87 tokens to every session and 1,399 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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