Update LLM Pool
Exact CLI reference for refreshing this wiki's LLM-paper citation pool via Semantic Scholar, including checkpoint resume.
Test report
- Verdict
- Tested · Works
- Score
- Tested
- Jul 13, 2026
- Environment
- Claude Code 2.x (agent harness)
- Upstream re-checked
- Jul 30, 2026 · 9b55aff
⚠ This skill is no longer available upstream. Our re-check on Aug 10, 2026 couldn't find it any more (SKILL.md not found in repo tree). The test below is what we measured on Jul 13, 2026 and we're leaving it up as a record — but there is nothing left to install, so we've removed the command.
Cross-checked the documented flags against the live code/fetch_llm_papers.py: --api-key-env defaults to S2_API_KEY, --reset deletes the checkpoint, and 'resume' just means re-running without --reset — every claim matched the actual argparse block exactly.
Scored on four weighted criteria — install, triggering, output vs. baseline, docs. How scoring works
- Installs cleanly 5/5
- Triggers reliably 5/5
- Output vs. baseline 8/10
- Docs & honesty 5/5
What Update LLM Pool does
Documents the precise flags for the repo's own code/fetch_llm_papers.py — full re-fetch with --reset, resuming after a Semantic Scholar 429 by simply re-running without --reset, topic-only refresh with --topics, and offline re-annotation with --annotate-existing — and explicitly hands off hand-curated entries and RAG citation-count updates to two sibling skills. Triggers on requests to refresh citation counts or expand topic coverage in section/x_llm_papers.md within this specific repo.
How to install Update LLM Pool
Nothing to install: the source repository no longer has this skill. If the author brings it back, our daily re-check will pick it up and the command will reappear here.
Commands — how to trigger Update LLM Pool
-
/update-llm-poolExact CLI reference for refreshing this wiki's LLM-paper citation pool via Semantic Scholar, including checkpoint resume.
It also activates on plain-language prompts like these:
-
Refresh the LLM paper citation counts in the wiki pool -
Resume the paper fetch after it hit a Semantic Scholar rate limit -
Expand topic coverage in the x_llm_papers wiki section
Frequently asked questions
- Is the Update LLM Pool skill free?
- Yes. The skill itself is free from kimtth/azure-openai-llm-wiki. SkillProof publishes the install command and an independent test verdict at no cost.
- Does Update LLM Pool work with Claude Code?
- We tested it with Claude Code 2.x (agent harness) on Jul 13, 2026. Verdict: Tested · Works. Cross-checked the documented flags against the live code/fetch_llm_papers.py: --api-key-env defaults to S2_API_KEY, --reset deletes the checkpoint, and 'resume' just means re-running without --reset — every claim matched the actual argparse block exactly.
- What is the Update LLM Pool SkillProof Score?
- 9.2/10 — installs cleanly 5/5, triggers reliably 5/5, output vs. baseline 8/10, docs & honesty 5/5.
- How do I install Update LLM Pool?
- Copy the install command from this page, run it in your terminal, and restart Claude Code. Skills live in ~/.claude/skills/ (global) or .claude/skills/ inside a project.
- Can I use Update LLM Pool with Cursor, Copilot, Gemini CLI, Codex or other AI tools?
- The SKILL.md format is native to Claude (Claude Code, Desktop, claude.ai). The instructions inside adapt to other assistants: Cursor rules, GitHub Copilot instructions, Windsurf rules, Custom GPTs, AGENTS.md for OpenAI Codex, and GEMINI.md for Google Gemini CLI — our conversion guides cover each, and the free converter on the tools page does the wrapping for you.