← Back to Skills Marketplace
Content System Humanizer Zh
by
Abigale-cyber
· GitHub ↗
· v1.0.0
· MIT-0
192
Downloads
0
Stars
1
Active Installs
1
Versions
Install in OpenClaw
/install content-system-humanizer-zh
Description
Remove obvious AI-writing traces from Chinese text in a constrained way. Use when Codex needs to reduce AI smell without changing facts, data, or the article...
README (SKILL.md)
Humanizer ZH
This repo-local skill is inspired by op7418/Humanizer-zh and blader/humanizer, but implemented for the content-system runtime.
Quick Start
.venv/bin/python -m skill_runtime.cli run-skill humanizer-zh \
--input content-production/drafts/harness-engineering-一人公司-article.md
What It Does
- Detects obvious AI-writing traces in Chinese prose
- Applies a surgical rewrite pass on body paragraphs
- Preserves facts, numbers, headings, structure, and article intent
- Writes a humanized copy plus a JSON report
Output
content-production/drafts/\x3Cslug>-humanized.mdcontent-production/drafts/\x3Cslug>-humanizer-report.json
Constraints
- Do not invent new facts or sources
- Do not flatten strong viewpoints into neutral filler
- Do not rewrite headings or titles by default
- Do not pretend the text comes from personal experience if it does not
Usage Guidance
This skill appears internally consistent and does not request credentials or network installs. Before using it: (1) run it on a copy of your draft (it will write files under content-production/drafts), (2) review the generated <slug>-humanizer-report.json and the humanized output before publishing, and (3) confirm that the hosting environment provides the skill_runtime.writing_core implementation (the heavy lifting is delegated to that module — inspect or trust that library). Also note README references requirements.txt which is not included; ensure any needed Python dependencies are available in your runtime. If you want additional assurance, run the skill in an isolated workspace or sandbox first.
Capability Analysis
Type: OpenClaw Skill
Name: content-system-humanizer-zh
Version: 1.0.0
The skill is a text-processing utility designed to refine Chinese AI-generated text. Analysis of runtime.py and SKILL.md shows the code strictly performs file I/O within the local workspace and utilizes an internal library (skill_runtime.writing_core) for text transformation. There are no indicators of data exfiltration, unauthorized network access, or malicious prompt injection.
Capability Assessment
Purpose & Capability
Name/description match the implementation: runtime.py reads a Markdown/text input, calls humanize_markdown(mode='surgical'), writes a humanized Markdown file and a JSON report into content-production/drafts. The I/O and behavior are proportional to a content-humanizing tool.
Instruction Scope
SKILL.md and README only instruct running the local skill runtime with a specific input file. The runtime only reads the provided input and writes output/report files under workspace_root/content-production/drafts; there are no instructions to read unrelated system files, environment variables, or transmit data to external endpoints.
Install Mechanism
This is an instruction-only skill with no install spec in the manifest (lowest risk). README mentions pip installing requirements.txt, but no requirements.txt is present in the file list — the skill depends on the environment providing skill_runtime.writing_core. Verify that your runtime environment already supplies that module.
Credentials
The skill declares no required environment variables, credentials, or config paths. The only runtime dependency is a workspace_root path (standard for file-based tools). No secret-exposing env vars or unrelated credentials are requested.
Persistence & Privilege
always is false and the skill does not modify other skills or global agent settings. It writes output files into the workspace (expected for a content tool) but does not request elevated or persistent platform privileges.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install content-system-humanizer-zh - After installation, invoke the skill by name or use
/content-system-humanizer-zh - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of humanizer-zh, a skill for de-AI-ifying Chinese text with strong content constraints:
- Detects and removes obvious AI-writing traces from Chinese prose.
- Surgically rewrites body paragraphs while preserving facts, structure, and author intent.
- Outputs a humanized article copy and a JSON report summarizing changes.
- Strictly avoids inventing facts, altering core arguments, or changing headings.
Metadata
Frequently Asked Questions
What is Content System Humanizer Zh?
Remove obvious AI-writing traces from Chinese text in a constrained way. Use when Codex needs to reduce AI smell without changing facts, data, or the article... It is an AI Agent Skill for Claude Code / OpenClaw, with 192 downloads so far.
How do I install Content System Humanizer Zh?
Run "/install content-system-humanizer-zh" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Content System Humanizer Zh free?
Yes, Content System Humanizer Zh is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Content System Humanizer Zh support?
Content System Humanizer Zh is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Content System Humanizer Zh?
It is built and maintained by Abigale-cyber (@abigale-cyber); the current version is v1.0.0.
More Skills