Content System Humanizer Zh
v1.0.0Remove 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...
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MIT-0
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LicenseMIT-0 · Free to use, modify, and redistribute. No attribution required.
Security Scan
OpenClaw
Benign
high confidencePurpose & 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.
Assessment
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.Like a lobster shell, security has layers — review code before you run it.
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License
MIT-0
Free to use, modify, and redistribute. No attribution required.