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Install in OpenClaw
/install verified-humanizer
Description
Transform AI-generated content into natural, human-sounding writing, measure the improvement, and optionally verify the result.
Usage Guidance
This package appears coherent and privacy-focused: it keeps rewriting and evaluation local and does not request credentials or external services. Before installing, verify that any external verification you choose to integrate (if you enable verification later) is configured to accept only structured metrics (no raw or rewritten text). Also review and sandbox the included hook scripts so the system message they inject matches your agent policy before you enable the skill in production.
Capability Analysis
Type: OpenClaw Skill
Name: verified-humanizer
Version: 0.0.7
The skill bundle is a text-transformation tool designed to improve AI-generated content while prioritizing privacy. All components, including the shell scripts (scripts/scan-text.sh) and OpenClaw hooks (hooks/openclaw/handler.js), are aligned with the stated purpose of local text analysis and explicitly instruct the agent to avoid sending raw data to external systems. No indicators of data exfiltration, malicious execution, or harmful prompt injection were found.
Capability Assessment
Purpose & Capability
Name/description (humanizing AI text, measuring improvements, optional verification) aligns with provided files: rewrite guidance (SKILL.md, README), evaluation templates, local helper scripts, and lightweight OpenClaw hook. There are no unrelated dependencies, credentials, or binaries requested.
Instruction Scope
SKILL.md explicitly requires local rewriting, local evaluation, and that verification (if used) only transmit structured metrics — and the included scripts/hooks follow that guidance. No instructions request reading unrelated system files, secrets, or sending raw text externally.
Install Mechanism
No install spec is provided (instruction-only style). The package includes small local scripts and hook files; nothing downloads or executes external code or archives. This is low-risk and proportionate to the stated purpose.
Credentials
No environment variables, credentials, or config paths are required. The skill does not ask for unrelated secrets and the SKILL.md forbids sending private text to verifiers, so requested access is minimal and appropriate.
Persistence & Privilege
always is false and the hook only returns a brief system reminder (and skips when context.subagent is present). The skill does not request persistent/global privileges or modify other skills' config.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install verified-humanizer - After installation, invoke the skill by name or use
/verified-humanizer - Provide required inputs per the skill's parameter spec and get structured output
Version History
v0.0.7
- Skill documentation rewritten for clarity and brevity
- Simplified step descriptions and execution loop
- Streamlined output format section with example input/output
- Reduced repetition and removed detailed pattern guides
- Verification and privacy notes made more concise
- No changes to code or functionality; documentation update only
v0.0.6
* Converted Verified Humanizer from wrapper-style to a full packaged skill structure.
* Rewrote `SKILL.md` for clarity, scan safety, and better ClawHub presentation.
* Preserved core model: rewrite → evaluate → (optional) verify.
* Integrated optional SettlementWitness-style verification at the evaluation stage using structured metrics only.
* Removed required identity (`agent_id`) and any implication of credentials or external dependency.
* Ensured verification is optional, user-controlled, and limited to non-sensitive data (evaluation metrics only).
* Added packaged skill components:
* `_meta.json`
* `.learnings/` (errors, feature requests, learnings)
* `assets/` (templates for consistent outputs)
* `hooks/` (OpenClaw bootstrap guidance)
* `references/` (usage and integration notes)
* `scripts/` (lightweight helpers, scan-safe)
* Improved evaluation clarity with structured before/after metrics and delta reporting.
* Optimized for ClawHub scanner:
* no explicit external API calls
* no required identity
* no credential handling
* Improved README for clearer positioning and adoption.
* No breaking changes to core functionality; improvements focus on structure, safety, and usability.
v0.0.5
Improved summary and top-level description for clarity and higher conversion. No functional changes.
v0.0.4
Restricted attestation payload to evaluation.delta only and explicitly prohibited transmission of original or rewritten text to prevent data leakage.
v0.0.3
Added SettlementWitness endpoint and operator details, clarified attestation data flow, and resolved external verification transparency requirements.
v0.0.2
Clarified attestation flow, defined settlement_witness behavior, and removed ambiguity around agent identity and credential usage.
v0.0.1
Introduced measurable before/after evaluation for text transformation with optional SAR attestation and improved trust-safe positioning.
Metadata
Frequently Asked Questions
What is Verified Humanizer?
Transform AI-generated content into natural, human-sounding writing, measure the improvement, and optionally verify the result. It is an AI Agent Skill for Claude Code / OpenClaw, with 173 downloads so far.
How do I install Verified Humanizer?
Run "/install verified-humanizer" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Verified Humanizer free?
Yes, Verified Humanizer is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Verified Humanizer support?
Verified Humanizer is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Verified Humanizer?
It is built and maintained by nutstrut (@nutstrut); the current version is v0.0.7.
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