XHS Viral Content Factory

ReviewAudited by ClawScan on May 10, 2026.

Overview

Prompt-injection indicators were detected in the submitted artifacts (unicode-control-chars); human review is required before treating this skill as clean.

Before installing, make sure you are comfortable sending the selected files and any history file to your configured LLM provider, use a trusted HTTPS endpoint and API key, and note that real PDF parsing is not evident in the included code. ClawScan detected prompt-injection indicators (unicode-control-chars), so this skill requires review even though the model response was benign.

Findings (4)

Artifact-based informational review of SKILL.md, metadata, install specs, static scan signals, and capability signals. ClawScan does not execute the skill or run runtime probes.

What this means

Using the skill may consume quota or incur costs on the configured LLM account.

Why it was flagged

The script uses LLM_API_KEY as a bearer credential for the configured LLM API. This is expected for the stated integration and there is no evidence that the key is logged or sent to unrelated parties.

Skill content
"Authorization": f"Bearer {api_key}"
Recommendation

Use a dedicated or scoped API key where possible, monitor provider usage, and avoid sharing the key in prompts or files.

What this means

Private or sensitive material in the selected source folder or history file may be transmitted to the LLM provider.

Why it was flagged

The skill explicitly discloses that selected local file content is sent to the configured model provider for analysis and generation.

Skill content
本技能会将您指定的本地文件内容通过加密的 HTTPS 请求发送至您配置的大模型供应商
Recommendation

Only point the skill at files you are comfortable sending to the configured provider, and prefer HTTPS endpoints from trusted providers.

What this means

Installing the dependency pulls code from the Python package ecosystem.

Why it was flagged

The skill declares a pip dependency on requests, which is normal for making API calls but still introduces a standard third-party package dependency.

Skill content
install:\n      - id: requests\n        kind: pip\n        package: requests
Recommendation

Install dependencies in a virtual environment and use trusted package indexes or pinned versions if your environment requires stricter supply-chain control.

What this means

Users may expect PDF extraction to work when the provided code does not implement real PDF parsing.

Why it was flagged

The description claims PDF support, but the included script only clearly reads UTF-8 text files and .md/.txt files in directories, so PDF support appears overstated.

Skill content
支持从 PDF、Markdown 或文件夹提取内容
Recommendation

Treat PDF support as unverified unless the author adds a PDF parser or clarifies that PDFs must first be converted to text.