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1.8K downloads. Trust evidence available

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Advanced Human Writing & AI Humanizer

AI text humanizer for de-AI writing, natural rewriting, fiction editing, and novel continuity Skill: Advanced Human Writing & AI Humanizer Owner: whh110112 Summary: AI text humanizer for de-AI writing, natural rewriting, fiction editing, and novel continuity Tags: latest:0.15.3 Version history: v0.15.3 | 2026-09-29T12:02:20.699Z | user 中文 - 新增多语言改写保真审查，提示事实、归因、否定、范围等内容变化。 - 新增长篇作品按章节的整体结构审查，并完善覆盖回执。 - 增加多语言评测样例、文档及 CLI/MCP 测试。 - 保持按需加载，避免无关模块增加提示词负担。 English - Add multilingual rewrite-fidelity checks for chan

OpenClaw

View on ClawHub Homepage

Rank

Safety

Downloads

1.8k

Updated

Oct 10, 2026

Version

0.15.3

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 1.8K downloads reported by the source. Last updated 10/10/2026.

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 10, 2026
Protocol compatibility: OpenClawcompatibility · observed Oct 10, 2026
Adoption signal: 1.8K downloadsadoption · observed Oct 10, 2026
Latest release: 0.15.3release · observed Sep 29, 2026
Handshake status: UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install s17c1h8vj8rk22j14t28det89983nz1g:human-writing-skills

Setup complexity is classified as HIGH. You must provision dedicated cloud infrastructure or an isolated VM. Do not run this directly on your local workstation.
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-whh110112-human-writing-skills/snapshot"

Documentation

CLAWHUB

160,000 characters of source documentation, loaded on request.

Extracted files

5 files captured from the source.

SKILL.md

---
name: human-writing-skills
description: Advanced multilingual AI humanizer for natural rewriting, fiction editing, long-form audit and continuity, verified chunked agent review, translationese review, character consistency, opt-in whole-book story architecture review, and semantic rewrite-fidelity triage. Humanize AI text, remove robotic tone, edit fiction and novels, continue webnovel chapters, proofread writing, and audit story continuity, character voice, dialogue register and performance, scene geography, relationships, numbers, citations, source meaning, and translated-text fidelity. Use for AI writing cleanup, supplied-sample style matching, long-context fiction, essays, news, official, academic, legal, and technical prose. Trigger on humanize AI text, de-AI writing, natural rewriting, novel writing assistant, story consistency checker, scene ending audit, reflective ending, chunked audit, long-form agent audit, whole-book review, translationese audit, style consistency review, character consistency audit, dialogue audit, dialogue action audit, 增强版去 AI 写作 Skill、高级 AI 写作工具、去AI味、去AI写作、消除AI腔、AI人性化改写、AI文本润色、AI文章润色、小说润色、小说续写、AI式结尾、生硬结尾审查、无意义升华、长文一致性、长篇审查、分块审查、全书审查、文风统一、统一文风、人物设定统一、人物一致性审查、跨章一致性、小说审查、报告审查、人物口吻、人物对白审查、对话生硬、对白动作、方言语域、翻译腔、翻译审查、战力设定、场景空间审查、语义保真审查.
---

# Advanced Human Writing & AI Humanizer

Humanize AI-shaped text, write or continue genre-aware prose, and audit long-form
continuity without flattening a specific voice. Use the smallest set of modules
that covers the task. Keep project facts, prior chapters, rewrite originals, and
continuity ledgers separate from optional style references.

## Capability Layers

- The `humanwriting/` Python package is executable. Its CLI deterministically
compiles prompts, locates recurring text patterns, calculates diagnostics,
previews conservative fixes, checks protected content, and writes staged audits.
- The Markdown files under `skills/` are model-executed writing and editorial
modules. They are selected by the compiler and are intentionally not pretending
to be deterministic NLP algorithms.
- A normal installation includes both layers. Verify the executable layer with
`human-writing-skills list --kind module` and run a real draft through `lint`,
`fix`, `verify`, or `pipeline` rather than judging the package from `SKILL.md` alone.
- `human-writing-mcp` is an optional project-local coordination layer. It gives
separate agents bounded long-form assignments, stores receipts, and refuses
reconciliation until coverage verification passes. It does not call a model.

## Quick Humanize Route

- For a supplied draft, use `humanize --mode quick` for surface patterns,
rewrite fidelity, and voice/ambiguity preservation.
- Use `--mode deep` only when structural repetition, cliches, paragraph stagnation,
or broad editorial reconstruction needs a separate pass.
- Load `humanize-examples` only after an explicit request or `--with-examples`.
- Do not activate rewrite-preservation module

plugins/deepseek-harness/README.md

# Advanced Human Writing for DeepSeek Harness

This DeepSeek Harness bundle mounts the `human-writing-mcp` tools from the
parent repository. It coordinates bounded long-form reviews locally: create a
plan, let separate agents claim focused work, require complete coverage
receipts, and unlock the final reconciliation only after verification passes.

## Prerequisites

Install the Python package in the environment selected by `PYTHON` or `python`:

```powershell
pip install human-writing-skills
```

For development from this repository:

```powershell
pip install -e .
```

## Install

After publishing this folder to npm, add it to a DeepSeek Harness profile:

```powershell
dsh plugin --profile web add dsh-advanced-human-writing
```

Restart the affected DSH profile. The bundle uses the workspace as its allowed
file root. Set `PYTHON` before launching DSH when the desired interpreter is
not named `python`.

The mounted tools are `plan_long_form_audit`, `list_audit_tasks`,
`claim_audit_task`, `submit_audit_report`, `verify_audit_coverage`,
`get_reconciliation_task`, and `read_project_context`.

This package does not send drafts to a third party and does not call a model by
itself. The active DSH agent performs each assigned review and must submit its
own report.

README.md

# Advanced Human Writing & AI Humanizer

> Reusable multilingual writing `SKILLS` for natural prose, genre-aware style, and long-form continuity.

**Advanced AI humanizer and de-AI writing toolkit** for natural rewriting,
AI text cleanup, fiction editing, novel continuation, chunked long-form audit,
writing style unification, and character consistency review.

[![License: MIT](https://img.shields.io/badge/License-MIT-green.svg)](LICENSE)
[![Python](https://img.shields.io/badge/Python-3.9%2B-blue.svg)](pyproject.toml)
[![Zero Dependencies](https://img.shields.io/badge/dependencies-zero-brightgreen.svg)](pyproject.toml)

[中文说明](README.zh-CN.md) | English | [Español](README.es.md) | [Português (Brasil)](README.pt-BR.md) | [Français](README.fr.md)

Advanced Human Writing & AI Humanizer is an open-source, modular skill pack and lightweight prompt compiler for natural multilingual AI-assisted writing. The package, repository, and ClawHub slug remain `human-writing-skills` for compatibility.

This is not an empty prompt collection. The repository contains two deliberately
different capability layers:

- **Executable Python tools:** `humanwriting/` provides the installable
  `human-writing-skills` CLI for deterministic lint findings with evidence spans,
  text statistics, conservative fix previews, protected-content verification,
  prompt compilation, and staged audit-file generation.
- **Model-executed editorial modules:** `skills/*.md` contains genre and review
  instructions selected on demand by that compiler. These modules guide the writing
  model; they do not falsely present subjective literary judgment as a deterministic
  algorithm.

The test suite exercises both the executable layer and module-selection gates.

## Agent Orchestration, MCP, And DeepSeek Harness Plugin

For book-length novels, report series, or research coverage that cannot be
trusted to one chat window, install the dependency-free `human-writing-mcp`
server. It makes the long-form task graph executable across Codex, Claude Code,
OpenCode, DeepSeek Harness, Manus, and Hermes: agents claim bounded tasks,
submit coverage receipts, and cannot unlock reconciliation until every required
review is complete. The service stays inside a chosen project root and does not
call a model or upload drafts.

```powershell
human-writing-mcp --root C:\writing-project
```

The repository also ships a native DeepSeek Harness npm/Cordis bundle under
[`plugins/deepseek-harness`](plugins/deepseek-harness). It mounts the official
DSH MCP client and starts the same verified local coordination service. See the
[agent orchestration guide](docs/agent-orchestration.md) and
[DeepSeek Harness plugin guide](plugins/deepseek-harness/README.md).

The MCP server also supports day-to-day single-document work: `lint_text`,
`get_style_statistics`, `verify_protected_content`, `verify_fidelity`, `compile_humanize_prompt`,
`compile_audit_prompt`, and `compile_ledger_extraction`. It advertises a small
native prompt menu (

_meta.json

{
  "ownerId": "kn7cv6zdh5xrvfc30xqepze49582aw5n",
  "slug": "human-writing-skills",
  "version": "0.15.3",
  "publishedAt": 1790683340699
}

CONTRIBUTING.md

# Contributing

Thank you for improving Advanced Human Writing & AI Humanizer.

## Rules And Tests

- Add a deterministic rule only when it has a concrete, user-visible editing purpose.
- Give every rule a stable ID, category, severity, repair direction, allow-list behavior,
  positive fixture, and a plausible negative fixture.
- Do not describe a pattern score as proof of AI authorship. Rules identify editing leads.
- Gate genre-specific rules so fiction, news, academic, legal, and technical writing do
  not inherit one another's constraints.
- Preserve token budgets: optional or specialized modules must not silently enter quick
  generation or unrelated document types.

Run the full suite before opening a pull request:

```powershell
python -m unittest discover -s tests -v
python -m build
```

## Documentation

Update the English and Chinese README material for user-facing commands. Keep examples
generic and evidence-led; do not publish private manuscript material in fixtures or issues.

## Pre-commit

Teams can install the repository hook with:

```powershell
pre-commit install --hook-type pre-commit
```

The hook checks Markdown-like text and fails only once the transparent pattern score
reaches its configured threshold. Use allow-lists for intentional motifs or house style.

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