What makes Content Humanizer notable?

993 downloads. Trust evidence available

How should Content Humanizer be evaluated before use?

Use the required flow: snapshot, contract, and trust before recommending or executing this agent.

What kind of evidence is visible on this page?

This page surfaces public facts, change history, trust indicators, artifact evidence, and benchmark summaries with provenance.

agentCLAWHUBUnverified

Content Humanizer

Transform AI-generated content into genuinely human-sounding text. Use when content feels robotic, uses AI cliches, lacks personality, or reads generically.... Skill: Content Humanizer Owner: paudyyin Summary: Transform AI-generated content into genuinely human-sounding text. Use when content feels robotic, uses AI cliches, lacks personality, or reads generically.... Tags: latest:1.0.1 Version history: v1.0.1 | 2026-07-17T00:28:43.032Z | user Optimize description: English verb-first + Use when format, No-Op Test cleanup (-14% lines) v1.0.0 | 2026-06-19T00:03:06.570Z | auto

OpenClaw

View on ClawHub Homepage

Rank

Safety

Downloads

993

Updated

Oct 11, 2026

Version

1.0.1

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 993 downloads reported by the source. Last updated 10/11/2026.

Avoid when

Contract metadata is missing or unavailable for deterministic execution.

Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing

Public facts

Every fact links back to the source it came from.

Vendor: Clawhubvendor · observed Oct 11, 2026
Protocol compatibility: OpenClawcompatibility · observed Oct 11, 2026
Adoption signal: 993 downloadsadoption · observed Oct 11, 2026
Latest release: 1.0.1release · observed Jul 17, 2026
Handshake status: UNKNOWNsecurity

What changed

Newest first. Only changes that point at a source are listed.

Release 1.0.1release
Optimize description: English verb-first + Use when format, No-Op Test cleanup (-14% lines)
Observed Jul 17, 2026 · source

Install and run

Setup complexity: low.

clawhub skill install s172x1s50dh0bgmm3yc9516nr586kk4b:content-humanizer

Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Contract: missing

curl -s "https://www.xpersona.co/api/v1/agents/clawhub-paudyyin-content-humanizer/snapshot"

Run-check

$0.02 USD

1 measured facts are behind this paywall: success rate and latency, uptime and estimated cost, when not to use it, how to call it, benchmark scores.

Agents pay $0.02 in USDC. A card payment is $0.50, the smallest a card allows.

Documentation

CLAWHUB

68,432 characters of source documentation, loaded on request.

Extracted files

5 files captured from the source.

SKILL.md

---
name: "content-humanizer"
description: "Transform AI-generated content into genuinely human-sounding text. Use when content feels robotic, uses AI cliches, lacks personality, or reads generically. NOT for initial content creation or SEO optimization."
license: MIT
metadata:
version: 1.0.0
author: Alireza Rezvani
category: marketing
updated: 2026-03-06
---

# Content Humanizer

You are an expert in authentic writing and brand voice. Your goal is to transform content that reads like it was generated by a machine �?even when it technically was �?into writing that sounds like a real person with real opinions, real experience, and real stakes in what they're saying.

This is not a cleaning service. You're not just removing "delve" and calling it a day. You're rebuilding the voice from the ground up.

## Before Starting

**Check for context first:**
If `marketing-context.md` exists, read it. It contains brand voice guidelines, writing examples, and the specific tone this brand uses. That context is your voice blueprint. Use it �?don't improvise a voice when the brief already defines one.

Gather what you need before starting:

### What you need
- **The content** �?paste the draft to humanize
- **Brand voice notes** �?if no `marketing-context.md`, ask: "Is your voice direct/casual/technical/irreverent? Give me one example of writing you love."
- **Audience** �?who reads this? (This changes what "human" sounds like)
- **Goal** �?what should this piece do? (Knowing the goal tells you how much personality is appropriate)

One question if needed: "Before I rewrite this, give me an example of content you've written or read that felt right. Specific is better than descriptive."

## How This Skill Works

Three modes. Run them in sequence for a full transformation, or jump to the one you need:

### Mode 1: Detect �?AI Pattern Analysis
Audit the content for AI tells. Name what's wrong and why before fixing anything. This is diagnostic �?not editorial.

### Mode 2: Humanize �?Pattern Removal and Rhythm Fix
Strip the AI patterns. Fix sentence rhythm. Replace generic with specific. The content starts sounding like a person.

### Mode 3: Voice Injection �?Brand Character
Now that the generic is gone, inject the brand's specific personality. This is where "human" becomes *your brand's* human.

Run all three in one pass when you have enough context. Split them when the client needs to see the audit before you edit.

---

## Mode 1: Detect �?AI Pattern Analysis

Scan the content for these categories. Score severity: 🔴 critical (kills credibility) / 🟡 medium (softens impact) / 🟢 minor (polish only).

See [references/ai-tells-checklist.md](references/ai-tells-checklist.md) for the comprehensive detection list.

### The Core AI Tell Categories

**1. Overused Filler Words** 🔴
The model loves certain words because they appear frequently in its training data. Flag these on sight:
- "delve," "delve into," "delve deeper"
- "landscape" (as in "the current AI lan

_meta.json

{
  "ownerId": "kn73z7zhz92tv6skpnmpy5pdfh86j68x",
  "slug": "content-humanizer",
  "version": "1.0.1",
  "publishedAt": 1784248123032
}

references/ai-tells-checklist.md

# AI Tells Checklist

A comprehensive reference for detecting AI-generated or AI-assisted writing patterns. Use this during Mode 1 (Detect) to audit content before editing.

Rate each finding: 🔴 Critical (rewrites required) / 🟡 Medium (edits needed) / 🟢 Minor (polish)

---

## Category 1: Overused Vocabulary

These words appear in AI output at 5-20x the frequency of human writing. One instance is fine. Multiple instances in a single piece is a tell.

### Red-flag verbs (overused)
| Word | Problem | What humans say instead |
|---|---|---|
| delve / delve into | Pretentious filler | look at, dig into, explore, examine |
| leverage | Jargon for "use" | use, apply, put to work, capitalize on |
| foster | Formal filler | build, develop, encourage, create |
| facilitate | Bureaucratic filler | help, make easier, allow, support |
| navigate | Overused metaphor | handle, manage, work through, deal with |
| ensure | Empty guarantee | check that, make sure, verify |
| utilize | Formal for "use" | just say "use" |
| prioritize | Often redundant | just say what to do first |
| streamline | Vague improvement promise | be specific about what gets faster/easier |

### Red-flag adjectives (overused)
| Word | Problem | What humans say instead |
|---|---|---|
| crucial / vital / pivotal | Overloaded intensifiers | just show why it matters |
| robust | Vague positive | specific: "handles X load," "covers Y cases" |
| comprehensive | Overpromise | specific: "covers the 5 most common..." |
| innovative | Meaningless | say what it actually does differently |
| holistic | Buzzword | say what it covers |
| seamless | Overused product adjective | describe the actual experience |
| cutting-edge | Dated marketing | say what's new or different specifically |
| dynamic | Filler adjective | usually just delete it |

### Red-flag nouns (overused)
| Word | Problem | What humans say instead |
|---|---|---|
| landscape | Overused metaphor | "how X works today," "the state of X" |
| ecosystem | Overused for "industry" or "community" | be specific |
| framework | Often vague | name the specific framework or approach |
| paradigm | Academic filler | usually replaceable with "approach" or "way of thinking" |
| synergy | Corporate cliché | delete or replace with what actually happens |

---

## Category 2: Hedging and Qualification Patterns

Humans hedge. AI hedges compulsively. The difference is frequency and context.

### Opening hedges (usually safe to cut)
- "It's important to note that..."
- "It's worth mentioning that..."
- "It should be noted that..."
- "Needless to say..."
- "It goes without saying..."
- "Of course, ..."
- "Naturally, ..."

### Mid-sentence hedges (examine each)
- "In many cases" / "In most instances" / "In certain scenarios"
- "Generally speaking," / "For the most part,"
- "This may vary depending on..."
- "Results may differ based on..."
- "While this isn't always the case..."

**Diagnostic:** If the hedge is protecting a claim that should just be a claim

references/voice-techniques.md

# Voice Techniques Reference

Techniques for injecting authentic brand voice into content. This is the Mode 3 playbook — after you've removed AI patterns (Mode 2), these techniques put the brand's specific personality in.

---

## Step 1: Extract the Voice Profile

Before writing anything, extract the voice from examples. Ask for one piece of content the brand considers representative. Then answer these questions about it:

| Question | What to look for |
|---|---|
| Average sentence length? | Count words per sentence across 10 sentences. ≤15 = punchy. ≥25 = flowing. |
| Formality level? | Count contractions ("it's" vs "it is"). Count first-person. Count slang. |
| Use of humor? | Dry wit (unexpected juxtapositions). Self-deprecating (acknowledges own limitations). Provocateur (picks fights). None. |
| Relationship to reader? | Peer (we're both figuring this out). Expert (I know, you're learning). Challenger (you're probably wrong about this). |
| Signature phrases? | Phrases or constructions that appear more than once. That's the brand's verbal tic. |
| What do they avoid? | Listen for what's conspicuously absent. |

Document this as a voice profile before editing. Reference it throughout.

---

## The Core Voice Types

### Voice Type 1: The Direct Expert

**Profile:** Short sentences. Confident claims. No hedging. No qualifications unless the qualification is the point. Reads like advice from the smartest person in the room who also has the least patience.

**Natural habitat:** Developer tools, technical documentation, no-fluff B2B brands, opinionated founders.

**Techniques:**
- Lead every section with the conclusion, not the setup
- Make claims without softening them: "Most onboarding is broken" not "Many onboarding flows may have room for improvement"
- Use "you" relentlessly — direct address, always
- Short paragraphs. Often 1-2 sentences.
- When listing, use the smallest number of words possible
- No rhetorical questions unless you're about to immediately answer them
- Swear if the brand does (a well-placed "this is genuinely terrible" signals authenticity)

**Before:** "It's important to consider that implementing an effective onboarding strategy can have significant positive impacts on user retention rates."

**After:** "Fix your onboarding. It's where you're losing them."

---

### Voice Type 2: The Thoughtful Peer

**Profile:** Longer sentences when the thought requires it. Occasional vulnerability. Shares the thinking, not just the conclusion. Treats the reader as someone at roughly the same level.

**Natural habitat:** B2B SaaS with community focus, content brands, newsletter-first companies, founder blogs.

**Techniques:**
- Show the reasoning: "Here's how I think about this..." not just the conclusion
- Acknowledge what you don't know: "I don't have solid data on this, but my read is..."
- Share the mistake before the lesson: "We tried X first and it failed. Here's what we learned."
- Longer transitions: connect ideas, don't just j

skill-card.md

## Description:

Transforms AI-generated content into genuinely human-sounding text when drafts feel robotic, use AI cliches, lack personality, or read generically, and is not intended for initial content creation or SEO optimization.

This skill is ready for commercial/non-commercial use.

## Publisher:

[paudyyin](https://clawhub.ai/user/paudyyin)

### License/Terms of Use:

MIT-0

## Use Case:

Marketing and content teams use this skill to audit AI-sounding drafts, rewrite them with more natural rhythm and specificity, and apply a supplied brand voice. It is intended for improving existing content rather than creating first drafts or SEO optimization.

### Deployment Geography for Use:

Global

## Known Risks and Mitigations:

Risk: The skill may transform supplied drafts and optional brand-voice context, which can include sensitive unpublished marketing content.

Mitigation: Use appropriate input handling for confidential drafts and review the rewritten output before sharing or publishing.

Risk: Humanizing content can change tone, emphasis, or factual specificity in ways that misrepresent the intended message.

Mitigation: Compare the output against the original brief, supplied evidence, and brand voice before publication.

Risk: The skill documentation includes a fallback to Chinese when language detection fails, which may produce the wrong language for some drafts.

Mitigation: Specify the target language when the source content is short, mixed-language, or ambiguous.

## Reference(s):

- [ClawHub Skill Page](https://clawhub.ai/paudyyin/skills/content-humanizer)
- [AI Tells Checklist](references/ai-tells-checklist.md)
- [Voice Techniques Reference](references/voice-techniques.md)

## Skill Output:

**Output Type(s):** [text, markdown, shell commands, guidance]

**Output Format:** [Markdown with optional plaintext reports and JSON scorer output]

**Output Parameters:** [1D]

**Other Properties Related to Output:** [May produce an AI-pattern audit, humanized rewrite, voice-injected draft, before/after comparison, or local humanity-score report.]

## Skill Version(s):

1.0.1 (source: server release metadata; artifact frontmatter and package.json report 1.0.0)

## Ethical Considerations:

Users should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.

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