Agent skill

Fetch LLM Apps

by kimtth in kimtth/azure-openai-llm-notes

Regenerate the ranked GitHub LLM applications pool (section/xllmapps.md) with fetchllmapps.py.

No licenceAuto-check passed

Install Fetch LLM Apps

skills CLI
$ npx skills add kimtth/azure-openai-llm-notes --skill fetch-llm-apps -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install kimtth/azure-openai-llm-notes fetch-llm-apps --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ 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-apps .claude/skills/fetch-llm-apps && rm -rf skills-src

Use ~/.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/

Facts

Skill name
fetch-llm-apps
GitHub stars
410
Token cost
~588 tokens
SKILL.md length
200 words
Files
1
Skills in repo
5
Repo updated
First seen
Licence
None found

At a glance

Regenerate the ranked GitHub LLM applications pool (section/xllmapps.md) with fetchllmapps.py.

  • : refreshing the pool linked from applications.md
  • SKILL.md covers Commands and Notes
  • Calls python; needs GITHUB_TOKEN
  • : hand-curating entries in applications.md

What it does

Fetch LLM Apps is an agent skill from kimtth/azure-openai-llm-notes. Regenerate the ranked GitHub LLM applications pool (section/xllmapps.md) with fetchllmapps.py. USE FOR: refreshing the pool linked from applications.md. DO NOT USE FOR: hand-curating entries in applications.md or adding star badges to the generated file.

Its SKILL.md is about 590 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It works with GitHub. The repository describes itself as: A curated collection of resources for 🌌 Azure OpenAI, 🦙 LLMs (+RAG, Agents). Monthly Updates.

When your agent uses it

  • : refreshing the pool linked from applications.md
  • : hand-curating entries in applications.md
  • Adding star badges to the generated file

Example prompts

  • “/fetch-llm-apps”

Requirements

  • A credential in GITHUB_TOKEN

What it can do on your machine

Read from SKILL.md and the folder at commit c053950. It shows what the files ask for, not the result of running them.

  • Tool permissions

    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.

  • Runs code

    Shell commands in SKILL.md call:

    • python

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • GITHUB_TOKEN

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Fetch LLM Apps loads about 588 tokens when it runs. Until then it costs about 68 tokens; SKILL.md has 200 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~68
When it runs · the whole SKILL.md, loaded when a task matches
~588

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.

Safety

Auto-check passed

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.

SKILL.md

Without a licence we can't republish the file, so here is its outline and opening line. It has 200 words (~588 tokens).

“section/x_llm_apps.md is generated by code/fetch_llm_apps.py from GitHub topic and phrase searches, deduplicated and sorted by stars. Phrase facets broaden discovery across AI engineering, applications, infrastructure, and learning resources. External catalogs may inform search vocabulary only; never copy their repository records…”

— opening of SKILL.md by kimtth
name
fetch-llm-apps

Read the full SKILL.md on GitHub

Files

Just SKILL.md in .agent/skills/fetch-llm-apps of kimtth/azure-openai-llm-notes.

Open the folder on GitHubat commit c053950

Compare with similar skills

Fetch LLM Apps 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.

Fetch LLM Apps compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Fetch LLM Apps this skillkimtth/azure-openai-llm-notes410—~588Automated safety check: PassNone
PR Babysitteropeninterpreter/openinterpreter69k3 repos~4.2kAutomated safety check: PassApache-2.0
Diagnosing Superpowers Sessionsobra/superpowers296k3 repos~1.7kAutomated safety check: PassMIT
GitHub Deep Researchbytedance/deer-flow83k5 repos~1.3kAutomated safety check: PassMIT
Greplooponyx-dot-app/onyx32k4 repos~3.3kAutomated safety check: PassMIT
Update V8 Versionopeninterpreter/openinterpreter69k2 repos~845Automated safety check: PassApache-2.0

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More from kimtth/azure-openai-llm-notes

  • Fetch LLM Papers

    kimtth/azure-openai-llm-notes

    Refresh the LLM landscape paper pool (section/xllmpapers.md) with fetchllmpapers.py.

    410 GitHub stars~481 tokensUpdated 6 days ago
    Auto-check passed
  • Add New Entry From Temp Md

    kimtth/azure-openai-llm-notes

    Format new entries from temp.md into tempentries.md, ready to insert into the section files.

    410 GitHub stars~490 tokensUpdated 6 days ago
    Auto-check passed
  • Update Cite Count

    kimtth/azure-openai-llm-notes

    Update citation counts for papers in the ranked sections of section/bestpractices.md with updatecitationcounts.py.

    410 GitHub stars~163 tokensUpdated 6 days ago
    Auto-check passed
  • Add Temp Entries To Sections

    kimtth/azure-openai-llm-notes

    Insert formatted entries from tempentries.md into the section files.

    410 GitHub stars~168 tokensUpdated 6 days ago
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Works with

Questions about Fetch LLM Apps

What does Fetch LLM Apps do?

Regenerate the ranked GitHub LLM applications pool (section/xllmapps.md) with fetchllmapps.py. Fetch LLM Apps is an agent skill from kimtth/azure-openai-llm-notes.py.

When should I use Fetch LLM Apps?

Fetch LLM Apps fits situations like: : refreshing the pool linked from applications.md; : hand-curating entries in applications.md; adding star badges to the generated file.

How do I install Fetch LLM Apps in Claude Code?

Run `npx skills add kimtth/azure-openai-llm-notes --skill fetch-llm-apps -a claude-code`. Or copy the skill folder (.agent/skills/fetch-llm-apps in kimtth/azure-openai-llm-notes) into .claude/skills/fetch-llm-apps in your project. Claude Code loads it when a task matches its description.

How do I install Fetch LLM Apps in Codex?

Run `npx skills add kimtth/azure-openai-llm-notes --skill fetch-llm-apps -a codex`. Or copy the skill folder (.agent/skills/fetch-llm-apps in kimtth/azure-openai-llm-notes) into .agents/skills/fetch-llm-apps in your project. Codex loads it when a task matches its description.

Can I use Fetch LLM Apps in Cursor, Gemini CLI or GitHub Copilot?

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-apps -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-apps, .gemini/skills/fetch-llm-apps, .github/skills/fetch-llm-apps and .opencode/skills/fetch-llm-apps in your project.

What does Fetch LLM Apps need to run?

Going by SKILL.md and its folder, Fetch LLM Apps needs the command-line tools its instructions call (python) and credentials named GITHUB_TOKEN. Our summary lists: A credential in GITHUB_TOKEN.

Does Fetch LLM Apps access the network?

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.

Is Fetch LLM Apps safe to install?

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.

What licence does Fetch LLM Apps use?

No licence was found for Fetch LLM Apps or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.

How many tokens does Fetch LLM Apps use?

About 588 tokens (SKILL.md is roughly 2.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Fetch LLM Apps?

Skills that share tags, products or a category with Fetch LLM Apps: PR Babysitter (openinterpreter/openinterpreter, 69k stars), Diagnosing Superpowers Sessions (obra/superpowers, 296k stars), GitHub Deep Research (bytedance/deer-flow, 83k stars) and Greploop (onyx-dot-app/onyx, 32k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Fetch LLM Apps?

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.