Persistent research knowledge base that accumulates papers, ideas, experiments, claims, and their relationships across the entire research lifecycle. Inspired by Karpathy's LLM Wiki pattern. Use when user says "知识库", "research wiki", "add paper", "wiki query", "查知识库", or wants to build/query a persistent field map.
71
—
Does it follow best practices?
Impact
—
No eval scenarios have been run
Advisory
Suggest reviewing before use
Security
1 medium severity finding. This skill can be installed but you should review these findings before use.
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.
Third-party content exposure detected (high risk: 0.75). The skill’s runtime path `/research-wiki ingest "<paper title>" — arxiv: <id>` calls `python3 "$WIKI_SCRIPT" ingest_paper …`, which fetches arXiv Atom API metadata and appends the returned raw abstract text into `research-wiki/papers/<slug>.md` (as `## Abstract (original)`), so outsider-authored free text from a public web source is ingested into wiki prose that later gets read into LLM context via `query_pack.md`/page reads.
82076e5
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.