Content Research Writer
weapp-tailwindcss/weapp-tailwindcss
Assists in writing high-quality content by conducting research, adding citations, improving hooks, iterating on outlines, and providing real-time feedback on each section.
Refresh the LLM landscape paper pool (section/xllmpapers.md) with fetchllmpapers.py.
$ npx skills add kimtth/azure-openai-llm-notes --skill fetch-llm-papers -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install kimtth/azure-openai-llm-notes fetch-llm-papers --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/kimtth/azure-openai-llm-notes.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agent/skills/fetch-llm-papers .claude/skills/fetch-llm-papers && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "fetch-llm-papers" agent skill from https://github.com/kimtth/azure-openai-llm-notes/tree/main/.agent/skills/fetch-llm-papers into .claude/skills/fetch-llm-papers/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fetch-llm-papers", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/kimtth/azure-openai-llm-notes/tree/main/.agent/skills/fetch-llm-papersType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add kimtth/azure-openai-llm-notes --skill fetch-llm-papers -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install kimtth/azure-openai-llm-notes fetch-llm-papers --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/kimtth/azure-openai-llm-notes.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agent/skills/fetch-llm-papers .agents/skills/fetch-llm-papers && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "fetch-llm-papers" agent skill from https://github.com/kimtth/azure-openai-llm-notes/tree/main/.agent/skills/fetch-llm-papers into .agents/skills/fetch-llm-papers/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fetch-llm-papers", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add kimtth/azure-openai-llm-notes --skill fetch-llm-papers -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install kimtth/azure-openai-llm-notes fetch-llm-papers --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/kimtth/azure-openai-llm-notes.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agent/skills/fetch-llm-papers .cursor/skills/fetch-llm-papers && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "fetch-llm-papers" agent skill from https://github.com/kimtth/azure-openai-llm-notes/tree/main/.agent/skills/fetch-llm-papers into .cursor/skills/fetch-llm-papers/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fetch-llm-papers", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/kimtth/azure-openai-llm-notes.git --path .agent/skills/fetch-llm-papers--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add kimtth/azure-openai-llm-notes --skill fetch-llm-papers -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install kimtth/azure-openai-llm-notes fetch-llm-papers --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/kimtth/azure-openai-llm-notes.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agent/skills/fetch-llm-papers .gemini/skills/fetch-llm-papers && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "fetch-llm-papers" agent skill from https://github.com/kimtth/azure-openai-llm-notes/tree/main/.agent/skills/fetch-llm-papers into .gemini/skills/fetch-llm-papers/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fetch-llm-papers", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install kimtth/azure-openai-llm-notes fetch-llm-papersInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add kimtth/azure-openai-llm-notes --skill fetch-llm-papers -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/kimtth/azure-openai-llm-notes.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agent/skills/fetch-llm-papers .github/skills/fetch-llm-papers && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "fetch-llm-papers" agent skill from https://github.com/kimtth/azure-openai-llm-notes/tree/main/.agent/skills/fetch-llm-papers into .github/skills/fetch-llm-papers/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fetch-llm-papers", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add kimtth/azure-openai-llm-notes --skill fetch-llm-papers -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install kimtth/azure-openai-llm-notes fetch-llm-papers --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/kimtth/azure-openai-llm-notes.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agent/skills/fetch-llm-papers .opencode/skills/fetch-llm-papers && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "fetch-llm-papers" agent skill from https://github.com/kimtth/azure-openai-llm-notes/tree/main/.agent/skills/fetch-llm-papers into .opencode/skills/fetch-llm-papers/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fetch-llm-papers", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
fetch-llm-papersRefresh the LLM landscape paper pool (section/xllmpapers.md) with fetchllmpapers.py.
Fetch LLM Papers is an agent skill from kimtth/azure-openai-llm-notes. Refresh the LLM landscape paper pool (section/xllmpapers.md) with fetchllmpapers.py. USE FOR: refreshing citation counts or expanding topic coverage. DO NOT USE FOR: hand-curated entries (use add-new-entry-from-temp-md) or bestpractices.md citation counts (use update-cite-count).
Its SKILL.md is about 480 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Research & Science, covering Citation management. The repository describes itself as: A curated collection of resources for 🌌 Azure OpenAI, 🦙 LLMs (+RAG, Agents). Monthly Updates.
Read from SKILL.md and the folder at commit c053950. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
pythonFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names these keys or tokens, usually read from environment variables:
S2_API_KEYFrom names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Fetch LLM Papers loads about 481 tokens when it runs. Until then it costs about 76 tokens; SKILL.md has 123 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
Without a licence we can't republish the file, so here is its outline and opening line. It has 123 words (~481 tokens).
“section/x_llm_papers.md is a generated list of CS papers with at least 150 citations, ranked by citation count via Semantic Scholar. models_research.md links to it. Do not edit it by hand.”
Just SKILL.md in .agent/skills/fetch-llm-papers of kimtth/azure-openai-llm-notes.
Open the folder on GitHubat commit c053950
Fetch LLM Papers next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Fetch LLM Papers this skillkimtth/azure-openai-llm-notes | 410 | — | ~481 | Automated safety check: Pass | None | |
| Content Research Writerweapp-tailwindcss/weapp-tailwindcss | 1.9k | 25 repos | ~3.5k | Automated safety check: Pass | MIT | |
| Systematic Review ScreenerImbad0202/academic-research-skills | 51k | — | ~8.4k | Automated safety check: Pass | Custom licence | |
| NetworkxzLanqing/codex-claude-academic-skills | 4.7k | 15 repos | ~3.2k | Automated safety check: Pass | BSD-3-Clause | |
| Literature Reviewneflibata-feng/MyArxiv-Agent | 126 | 20 repos | ~5.9k | Automated safety check: Notes | MIT | |
| Openalex Databaseneflibata-feng/MyArxiv-Agent | 126 | 12 repos | ~3k | Automated safety check: Pass | Custom licence |
weapp-tailwindcss/weapp-tailwindcss
Assists in writing high-quality content by conducting research, adding citations, improving hooks, iterating on outlines, and providing real-time feedback on each section.
Imbad0202/academic-research-skills
Screens records for systematic, scoping and rapid reviews against fixed eligibility rules, using two blinded AI reviewers and a third adjudicator, with traceable PRISMA counts.
zLanqing/codex-claude-academic-skills
Comprehensive toolkit for creating, analyzing, and visualizing complex networks and graphs in Python.
neflibata-feng/MyArxiv-Agent
Conduct comprehensive, systematic literature reviews using multiple academic databases (PubMed, arXiv, bioRxiv, Semantic Scholar, etc.).
neflibata-feng/MyArxiv-Agent
Query and analyze scholarly literature using the OpenAlex database.
Galaxy-Dawn/claude-scholar
Reference guidance for checking every citation in academic writing against canonical sources such as DOI, arXiv, CrossRef and Semantic Scholar, to catch fake or wrong references.
kimtth/azure-openai-llm-notes
Format new entries from temp.md into tempentries.md, ready to insert into the section files.
kimtth/azure-openai-llm-notes
Regenerate the ranked GitHub LLM applications pool (section/xllmapps.md) with fetchllmapps.py.
kimtth/azure-openai-llm-notes
Update citation counts for papers in the ranked sections of section/bestpractices.md with updatecitationcounts.py.
kimtth/azure-openai-llm-notes
Insert formatted entries from tempentries.md into the section files.
Categories
Refresh the LLM landscape paper pool (section/xllmpapers.md) with fetchllmpapers.py. Fetch LLM Papers is an agent skill from kimtth/azure-openai-llm-notes.py.
Fetch LLM Papers fits situations like: : refreshing citation counts; expanding topic coverage; : hand-curated entries (use add-new-entry-from-temp-md); bestpractices.md citation counts (use update-cite-count).
Run `npx skills add kimtth/azure-openai-llm-notes --skill fetch-llm-papers -a claude-code`. Or copy the skill folder (.agent/skills/fetch-llm-papers in kimtth/azure-openai-llm-notes) into .claude/skills/fetch-llm-papers in your project. Claude Code loads it when a task matches its description.
Run `npx skills add kimtth/azure-openai-llm-notes --skill fetch-llm-papers -a codex`. Or copy the skill folder (.agent/skills/fetch-llm-papers in kimtth/azure-openai-llm-notes) into .agents/skills/fetch-llm-papers in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add kimtth/azure-openai-llm-notes --skill fetch-llm-papers -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/fetch-llm-papers, .gemini/skills/fetch-llm-papers, .github/skills/fetch-llm-papers and .opencode/skills/fetch-llm-papers in your project.
Going by SKILL.md and its folder, Fetch LLM Papers needs the command-line tools its instructions call (python) and credentials named S2_API_KEY. Our summary lists: A credential in S2_API_KEY.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
No licence was found for Fetch LLM Papers or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
About 481 tokens (SKILL.md is roughly 1.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Fetch LLM Papers: Content Research Writer (weapp-tailwindcss/weapp-tailwindcss, 1.9k stars), Systematic Review Screener (Imbad0202/academic-research-skills, 51k stars), Networkx (zLanqing/codex-claude-academic-skills, 4.7k stars) and Literature Review (neflibata-feng/MyArxiv-Agent, 126 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
kimtth (a GitHub user) maintains it in kimtth/azure-openai-llm-notes, which has 410 GitHub stars. The repository holds 5 skills in this directory. The repository was last updated on October 2, 2026.
Source: kimtth/azure-openai-llm-notes on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.