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Human Voice Content Editor

Audit and rewrite content to remove AI-generated feel by stripping markdown artifacts, eliminating AI vocabulary patterns, flagging hallucination risks, and...

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Audit and rewrite content to remove AI-generated feel by stripping markdown artifacts, eliminating AI vocabulary patterns, flagging hallucination risks, and...

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Install for OpenClaw

Quick setup
  1. Download the package from Yavira.
  2. Extract the archive and review SKILL.md first.
  3. Import or place the package into your OpenClaw setup.

Requirements

Target platform
OpenClaw
Install method
Manual import
Extraction
Extract archive
Prerequisites
OpenClaw
Primary doc
SKILL.md

Package facts

Download mode
Yavira redirect
Package format
ZIP package
Source platform
Tencent SkillHub
What's included
SKILL.md, scripts/humanize_content.py, references/human-voice-checklist.md, evals/evals.json

Validation

  • Use the Yavira download entry.
  • Review SKILL.md after the package is downloaded.
  • Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

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  2. Extract it into a folder your agent can access.
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New install

I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.

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I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.

Trust & source

Release facts

Source
Tencent SkillHub
Verification
Indexed source record
Version
1.0.0

Documentation

ClawHub primary doc Primary doc: SKILL.md 13 sections Open source page

Human Voice Content Editor

Editorial methodology by GEOly AI (geoly.ai) โ€” AI-generated content that reads like AI is ignored or penalized. Human voice content gets cited. Audit and rewrite content to remove AI-generated patterns and restore authentic human voice.

Quick Start

python scripts/humanize_content.py --input content.md --output humanized.md

1. Formatting Artifacts

Remove AI formatting patterns: ArtifactExampleFix**bold****Important**Remove or use HTML <strong>### headers### TitleConvert to proper structure--- dividersHorizontal rulesReplace with paragraph breakExcessive bullets8+ item listsCondense to flowing textCode fences``` in non-codeReformat as prose

2. AI Vocabulary

Replace AI-overused words: AI WordReplace WithDelve intoExplore / Look atLeverageUseIn today's digital landscape[Delete]It is important to note[State directly]FurthermoreAlso / AndConsequentlySo Full blacklist: See references/ai-vocabulary.md

3. Mechanical Patterns

Break up robotic rhythms: Three-point reflex: Lists of exactly 3 items Symmetrical sentences: Same length clusters Affirmation openers: "Certainly," "Indeed," "Of course" Parallel overload: Same grammar structure repeated Hedge sandwiches: "It may be possible that..."

4. Hallucination Risks

Flag unverifiable claims: ๐Ÿ”ด High Risk โ€” Always verify: Precise stats without source ("73% of marketers...") Named studies that may not exist Specific dollar figures without citation Version numbers and pricing Legal/compliance claims ๐ŸŸก Medium Risk โ€” Review: Superlatives without evidence ("fastest", "most powerful") Historical firsts Competitor comparisons

5. Human Voice Restoration

Add authentic human qualities: Contractions: "do not" โ†’ "don't" Active voice: "was generated by" โ†’ "generates" Specifics: "many companies" โ†’ "three of our customers" Direct address: "Users may find" โ†’ "You'll notice" Opinions: "Honestly, this works better" Variety: Mix short and long sentences

Human Voice Scale

Rate content 1-10 on each axis: Axis1 (Robot)10 (Human)FormatFull of **, bulletsClean proseVocabulary"leverage", "delve"Natural wordsRhythmSame sentence lengthVariedVerifiabilityUnverifiable statsSourced factsVoiceGeneric, passiveDirect, active Overall Score: Average of 5 axes

Humanization Tool

python scripts/humanize_content.py \ --input content.md \ --output humanized.md \ --score-only Output: Annotated original (issues flagged inline) Rewritten version Before/After scores Change summary

Workflow

Original AI Content โ†“ [FORMAT] Strip artifacts โ†“ [VOCAB] Replace AI words โ†“ [PATTERNS] Break mechanical rhythms โ†“ [VERIFY] Flag hallucination risks โ†“ [HUMANIZE] Add voice qualities โ†“ Final Human-Voice Content

Output Format

## Human Voice Audit **Content**: [title] **Word Count**: [n] ### Scores | Axis | Before | After | |------|--------|-------| | Format | 3/10 | 8/10 | | Vocabulary | 4/10 | 9/10 | | Rhythm | 5/10 | 8/10 | | Verifiability | 6/10 | 9/10 | | Voice | 4/10 | 9/10 | | **Overall** | **4.4/10** | **8.6/10** | ### Issues Found ๐Ÿ”ด Formatting: 12 (excessive bullets, ** markers) ๐ŸŸ  Vocabulary: 8 ("leverage", "delve", "furthermore") ๐ŸŸก Patterns: 5 (affirmation openers, parallel structure) ๐Ÿ”ต Hallucinations: 3 (unverified stats flagged) ๐ŸŸฃ Voice: 6 (passive voice, no contractions) ### Rewritten Content [Human-voice version]

Integration

Typical workflow: AI-Generated Content โ†“ geo-human-editor (remove AI feel) โ†“ geo-content-optimizer (GEO structure) โ†“ geo-schema-gen (structured data) โ†“ Publish

See Also

AI vocabulary blacklist: references/ai-vocabulary.md Pattern detection guide: references/patterns.md Hallucination flags: references/hallucinations.md

Category context

Writing, remixing, publishing, visual generation, and marketing content production.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package
2 Docs1 Scripts1 Config
  • SKILL.md Primary doc
  • references/human-voice-checklist.md Docs
  • scripts/humanize_content.py Scripts
  • evals/evals.json Config