ai-drama-prompt-factory

ReviewAudited by ClawScan on May 10, 2026.

Overview

This is mainly a creative prompt-generation skill, but its helper scripts can index and search broad local directories, which could capture private file content if used carelessly.

Use this skill only with a dedicated folder containing the story or novel source files. Do not point its indexing tools at your home directory, full workspace, cloud-sync folder, or folders with secrets/private documents. There is no evidence of network exfiltration or destructive behavior in the provided artifacts, but the local file-indexing scope needs careful control.

Findings (2)

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

If pointed at a broad folder such as a home directory or workspace, the skill could store and later reuse snippets or keywords from private documents that were not intended for the short-drama project.

Why it was flagged

The script can create a persistent index for an arbitrary file or directory and stores previews/keywords derived from file contents. The artifacts do not clearly bound which paths may be indexed or how the index should be retained or deleted.

Skill content
python3 doc_indexer.py <文档路径或目录> [--output index.json] [--update] ... current_section['content_preview'] ... 'keywords': extract_keywords(content)
Recommendation

Only index a dedicated project/source folder containing the story text. Avoid indexing broad personal or work directories, review the generated index before reuse, and delete it when the project is done.

What this means

The agent may read substantial portions of indexed files; if the index contains unintended files, their contents could enter the working context or outputs.

Why it was flagged

The fetch helper can retrieve content from any file recorded in the index. This is expected for long-document adaptation, but it depends on the index being limited to intended source material.

Skill content
python3 doc_fetch.py --index doc_index.json --file "文件名" --all ... def fetch_all(filepath: str, max_lines: int = 500)
Recommendation

Confirm the target file or section before fetching, and keep the index limited to the novel/story files needed for the project.