三层审查模型,逐段逐句验证文章真伪、证据链与逻辑结构。Use when the user asks to fact-check, verify, audit, or evaluate the credibility of an article, essay, report, opinion piece, social-media post, or any written claim — including checking logical consistency, evidence chains, source reliability, fabrication, non-quantifiable conclusions, and producing a scored report with original-text citations.
77
97%
Does it follow best practices?
Run evals on this skill
Adds up to 20 points to the overall score
Low
Low-risk findings worth noting
The skill exposes the agent to untrusted, user-generated content from public third-party sources, creating a risk of indirect prompt injection. This includes browsing arbitrary URLs, reading social media posts or forum comments, and analyzing content from unknown websites.
SKILL.md 的 Pass 3 会“运行 scripts/evidence-extractor.py 从粘贴的文章自动抽取候选证据”,而该脚本会把输入文本中的匹配片段(数字/引文/事件/概念)写入 evidence-list.json/Markdown,并进一步在 L3 报告中作为“原文引用”进入 LLM 上下文;若用户粘贴的文章/评论来自第三方(外部来源),其自由文本就会被喂给模型,构成间接提示注入风险。
digoal/blog
7abecbf
If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.