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QA remediation auto-fix pipeline for Monet Works content. Detects and repairs common content issues: banned phrases, missing disclaimers, missing CTAs, and e...

媒体与内容

作者:RunByDaVinci @clawdiri-ai

许可证:MIT-0

MIT-0 ·免费使用、修改和重新分发。无需归因。

版本:v0.1.0

统计:⭐ 0 · 26 · 0 current installs · 0 all-time installs

0

安装量(当前) 0

🛡 VirusTotal :良性 · OpenClaw :可疑

Package:clawdiri-ai/monet-works-content-qa-dv

安全扫描(ClawHub)

  • VirusTotal :良性
  • OpenClaw :可疑

OpenClaw 评估

The skill appears to implement a sensible content QA fixer, but documentation and runtime instructions mismatch the shipped files and it implies use of LLM/networked services without declaring required credentials — these inconsistencies warrant caution before installing or running it on real content.

目的

The declared purpose (banned phrases, disclaimers, CTAs, length trimming) matches the included data and scripts: the data/ JSON files and auto-remediate.py implement those features. However the SKILL.md repeatedly references a 'content-qa' CLI and configuration paths under 'references/' that are not present in the package (the repo uses scripts/auto-remediate.py, scripts/remediate.sh and data/). This mismatch between documentation and actual f…

说明范围

The runtime instructions describe piping content through a 'content-qa' CLI and mention integration with an external 'ogilvy-humanizer' skill and 'AI model' summarization. The included scripts operate on local files and templates and appear to implement most fixes locally, but README and SKILL.md state that an LLM (openai/anthropic) is required for some substitutions — the scripts in the manifest do not declare how API keys should be provided …

安装机制

There is no install spec and this is effectively an instruction+script bundle. No remote downloads or installers are present in the manifest, which lowers supply-chain risk. The code is local and executable via the provided shell wrapper.

证书

The README and SKILL.md state the tool needs an LLM library (openai or anthropic) for phrase substitution and summary generation, which in practice requires API credentials (e.g., OPENAI_API_KEY or ANTHROPIC_API_KEY). The skill declares no required environment variables or primary credential. This is an omission: a tool that can call an external LLM should declare credential requirements. Also the integration with another skill ('ogilvy-humani…

持久

The skill does not request always: true, does not require system-wide configuration changes, and is a user-invocable script. It does write only to output paths supplied by the caller (stdout/stderr or user-specified files). There is no evidence it modifies other skills or system agent settings.

安装(复制给龙虾 AI)

将下方整段复制到龙虾中文库对话中,由龙虾按 SKILL.md 完成安装。

请把本段交给龙虾中文库(龙虾 AI)执行:为本机安装 OpenClaw 技能「Monet Works — Content QA Remediation」。简介:QA remediation auto-fix pipeline for Monet Works content. Detects and repairs c…。
请 fetch 以下地址读取 SKILL.md 并按文档完成安装:https://raw.githubusercontent.com/openclaw/skills/refs/heads/main/skills/clawdiri-ai/monet-works-content-qa-dv/SKILL.md
(来源:yingzhi8.cn 技能库)

SKILL.md

打开原始 SKILL.md(GitHub raw)

---
id: 'monet-works-content-qa'
name: 'Monet Works Content QA Pipeline'
description: 'QA remediation auto-fix pipeline for Monet Works content. Detects and repairs common content issues: banned phrases, missing disclaimers, missing CTAs, and excessive length. Outputs fixed content to stdout and a structured change-report JSON to stderr.'
version: '1.0.0'
author: 'DaVinci'
last_amended_at: null
trigger_patterns: []
pre_conditions:
  git_repo_required: false
  tools_available: []
expected_output_format: 'natural_language'
---

# Monet Works Content QA Pipeline

**Goal Chain**: L0 Medici Enterprises → L1 Monet Works → L2 Content Quality

## Purpose

This skill is an automated QA and remediation pipeline for all content produced by Monet Works. It detects and automatically fixes common content issues, ensuring brand consistency and quality before publication.

## How It Works

The `content-qa` CLI tool takes a markdown file as input and processes it through a series of checks and fixes. It outputs the remediated content to `stdout` and a structured JSON report of all changes to `stderr`.

### Checks and Fixes

1.  **Banned Phrases:**
    *   *Detects:* A list of 37+ banned phrases (e.g., "in conclusion," "game-changer," "level up").
    *   *Fix:* Automatically removes or rephrases them.

2.  **Missing Disclaimers:**
    *   *Detects:* If the content discusses investments, finance, or taxes without the standard legal disclaimer.
    *   *Fix:* Appends the required disclaimer to the end of the document.

3.  **Missing Call-to-Action (CTA):**
    *   *Detects:* If the content does not end with a clear CTA (e.g., a link to a product, a request to subscribe).
    *   *Fix:* Appends a default, context-aware CTA based on the content's topic.

4.  **Excessive Length:**
    *   *Detects:* If the word count exceeds platform-specific limits (e.g., >600 words for LinkedIn).
    *   *Fix:* Uses an AI model to generate a concise summary and offers it as an alternative.

5.  **AI Writing Patterns:**
    *   *Detects:* Integrates with the `ogilvy-humanizer` skill to detect and fix common AI writing tics.
    *   *Fix:* Applies the humanizer's transformations.

## Usage

### CLI

```bash
# Run the QA pipeline on a draft file
content-qa fix path/to/draft.md > path/to/fixed-draft.md 2> path/to/report.json

# Example report.json
{
  "changes": [
    {
      "type": "banned_phrase",
      "action": "removed",
      "original": "In conclusion, this is a great product.",
      "remediated": "This is a great product.",
      "line": 42
    },
    {
      "type": "missing_disclaimer",
      "action": "appended",
      "details": "Appended standard investment disclaimer."
    }
  ],
  "word_count": {
    "original": 750,
    "remediated": 738
  },
  "humanizer_score": {
    "before": 0.68,
    "after": 0.95
  }
}
```

## Integration

This is the final step in the Monet Works content generation pipeline, run just before scheduling a post.

```bash
# Part of the main content pipeline script
cat $DRAFT_FILE | content-qa fix > $FINAL_FILE 2> $QA_REPORT_FILE
```

## Configuration

-   **Banned Phrases:** Managed in `references/banned_phrases.txt`.
-   **Disclaimers:** Templates in `references/disclaimers/`.
-   **CTAs:** Default CTAs in `references/ctas.json`.

This automated QA process saves hours of manual editing and ensures every piece of content meets our quality standards.