用于终稿完成且脚注需要后处理时:去重 [^key] 引用,转换为 [N] 编号,并追加参考文献。
75
92%
Does it follow best practices?
Run evals on this skill
Adds up to 20 points to the overall score
View guide
Low
Low-risk findings worth noting
Low
Low-risk findings.
1 low severity finding. Worth noting, but not necessarily harmful.
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.
在运行时会从“outsider-authored”证据文件 paths 读取 evidence.json/stitched.md/outline.json 的正文与字段(例如 sources[].title/url 与 stitched.md 中的 [^source_id]),然后把这些文本拼接写入最终 report.md(虽然不是LLM上下文,但会把外部自由文本进入该代理的输出/上下文流),路径为 scripts/prepare_citations.py:374-414 及 collect_sources/replacement 相关的 text=evidence与report_path.read_text 读取。
179fea1
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.