Agent skill

Fastllm Agents

Manage and invoke A2A agents behind FastLLM — register, patch, delete and list agents on the control plane, list them through the gateway, fetch an agent card, and invoke an agent by name.

Apache-2.0Auto-check passedAI & LLM Engineering

Install Fastllm Agents

skills CLI

$ npx skills add azrtydxb/Fastllm-proxy --skill fastllm-agents -a claude-code

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

GitHub CLI

$ gh skill install azrtydxb/Fastllm-proxy fastllm-agents --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/azrtydxb/Fastllm-proxy.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.claude/skills/fastllm-agents .claude/skills/fastllm-agents && 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/

Paste into Claude Code

Install the "fastllm-agents" agent skill from https://github.com/azrtydxb/Fastllm-proxy/tree/main/.claude/skills/fastllm-agents into .claude/skills/fastllm-agents/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fastllm-agents", 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

$skill-installer install https://github.com/azrtydxb/Fastllm-proxy/tree/main/.claude/skills/fastllm-agents

Type 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.

skills CLI

$ npx skills add azrtydxb/Fastllm-proxy --skill fastllm-agents -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install azrtydxb/Fastllm-proxy fastllm-agents --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/azrtydxb/Fastllm-proxy.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.claude/skills/fastllm-agents .agents/skills/fastllm-agents && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "fastllm-agents" agent skill from https://github.com/azrtydxb/Fastllm-proxy/tree/main/.claude/skills/fastllm-agents into .agents/skills/fastllm-agents/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fastllm-agents", 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.

skills CLI

$ npx skills add azrtydxb/Fastllm-proxy --skill fastllm-agents -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install azrtydxb/Fastllm-proxy fastllm-agents --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/azrtydxb/Fastllm-proxy.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.claude/skills/fastllm-agents .cursor/skills/fastllm-agents && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "fastllm-agents" agent skill from https://github.com/azrtydxb/Fastllm-proxy/tree/main/.claude/skills/fastllm-agents into .cursor/skills/fastllm-agents/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fastllm-agents", 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

$ gemini skills install https://github.com/azrtydxb/Fastllm-proxy.git --path .claude/skills/fastllm-agents

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add azrtydxb/Fastllm-proxy --skill fastllm-agents -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install azrtydxb/Fastllm-proxy fastllm-agents --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/azrtydxb/Fastllm-proxy.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.claude/skills/fastllm-agents .gemini/skills/fastllm-agents && rm -rf skills-src

Use ~/.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/

Paste into Gemini CLI

Install the "fastllm-agents" agent skill from https://github.com/azrtydxb/Fastllm-proxy/tree/main/.claude/skills/fastllm-agents into .gemini/skills/fastllm-agents/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fastllm-agents", 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.

GitHub CLI

$ gh skill install azrtydxb/Fastllm-proxy fastllm-agents

Installs 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).

skills CLI

$ npx skills add azrtydxb/Fastllm-proxy --skill fastllm-agents -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/azrtydxb/Fastllm-proxy.git skills-src && mkdir -p .github/skills && cp -r skills-src/.claude/skills/fastllm-agents .github/skills/fastllm-agents && rm -rf skills-src

Use ~/.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/

Paste into GitHub Copilot

Install the "fastllm-agents" agent skill from https://github.com/azrtydxb/Fastllm-proxy/tree/main/.claude/skills/fastllm-agents into .github/skills/fastllm-agents/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fastllm-agents", 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.

skills CLI

$ npx skills add azrtydxb/Fastllm-proxy --skill fastllm-agents -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install azrtydxb/Fastllm-proxy fastllm-agents --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/azrtydxb/Fastllm-proxy.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.claude/skills/fastllm-agents .opencode/skills/fastllm-agents && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "fastllm-agents" agent skill from https://github.com/azrtydxb/Fastllm-proxy/tree/main/.claude/skills/fastllm-agents into .opencode/skills/fastllm-agents/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fastllm-agents", 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.

Facts

Skill name: fastllm-agents
GitHub stars: 108
Token cost: ~512 tokens
SKILL.md length: 170 words
Files: 1
Skills in repo: 14
Repo updated: Oct 5, 2026
First seen: Oct 7, 2026
Licence: Apache-2.0

At a glance

Manage and invoke A2A agents behind FastLLM — register, patch, delete and list agents on the control plane, list them through the gateway, fetch an agent card, and invoke an agent by name.

Putting one address in front of several agents
SKILL.md covers Auth and Traps
Calls curl
Controlling which keys may set an agent running

What it does

Fastllm Agents is an agent skill from azrtydxb/Fastllm-proxy. Manage and invoke A2A agents behind FastLLM — register, patch, delete and list agents on the control plane, list them through the gateway, fetch an agent card, and invoke an agent by name. Use when putting one address in front of several agents, controlling which keys may set an agent running, or debugging an agent invocation.

Its SKILL.md is about 510 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 AI & LLM Engineering. The repository describes itself as: The lowest-overhead LLM router. Production-ready, highly available, one OpenAI-compatible endpoint in front of 80 providers and your own vLLM/SGLang — 0.76 µs per request, no I/O… The licence is Apache-2.0.

When your agent uses it

Putting one address in front of several agents
Controlling which keys may set an agent running
Debugging an agent invocation

Example prompts

“/fastllm-agents”

What it can do on your machine

Read from SKILL.md and the folder at commit 5d53db8. 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:
- curl
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use curl, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Fastllm Agents loads about 512 tokens when it runs. Until then it costs about 86 tokens; SKILL.md has 170 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~86
When it runs · the whole SKILL.md, loaded when a task matches: ~512

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

The full file from azrtydxb/Fastllm-proxy at commit 5d53db8, republished under its Apache-2.0 licence (© azrtydxb). 170 words, ~512 tokens.

Download SKILL.mdSave it as .claude/skills/fastllm-agents/SKILL.md (or your agent's skills folder).

name: fastllm-agents
description: Manage and invoke A2A agents behind FastLLM — register, patch, delete and list agents on the control plane, list them through the gateway, fetch an agent card, and invoke an agent by name. Use when putting one address in front of several agents, controlling which keys may set an agent running, or debugging an agent invocation.

FastLLM agents

Auth

Admin endpoints need a session cookie, not a bearer token — the gateway master key is not an admin credential.

bash

curl -sk -c /tmp/ck -X POST https://192.168.10.129:4001/login \
  -H 'content-type: application/json' -d '{"name":"<user>","password":"<pw>"}'
curl -sk -b /tmp/ck https://192.168.10.129:4001/admin/...

<!-- BEGIN GENERATED: endpoints -->

Method	Path	Summary	Body fields
`GET`	`/admin/a2a-agents`	List A2A agents. Reports whether a credential is set, never what it is	—
`POST`	`/admin/a2a-agents`	Register an A2A agent	`name`, `url`, `description`, `protocol_version`, `auth_header`, `auth_scheme`, `upstream_api_key`, `enabled`
`PATCH`	`/admin/a2a-agents/{id}`	Update an A2A agent	`name`, `url`, `description`, `protocol_version`, `enabled`, `upstream_api_key`
`DELETE`	`/admin/a2a-agents/{id}`	Delete an A2A agent	—
`GET`	`/v1/agents`	A2A agents this key may invoke	—
`POST`	`/v1/agents/{name}`	Every A2A JSON-RPC method on one path. Only the methods this gateway forwards are accepted	—
`GET`	`/v1/agents/{name}/.well-known/agent-card.json`	The agent's card, with `url` rewritten to this gateway so the next call is still authorised and attributed	—

* optional field

<!-- END GENERATED: endpoints -->

Traps

An agent acts — it runs, calls tools and spends money — so which key may invoke which agent is an access question, not a routing one.

protocol_version is pinned per agent. An agent speaking a different A2A version than the one registered will not behave as its card advertises.

Files

Just SKILL.md in .claude/skills/fastllm-agents of azrtydxb/Fastllm-proxy.

Open the folder on GitHubat commit 5d53db8

Compare with similar skills

Fastllm Agents 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.

Fastllm Agents compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Fastllm Agents this skillazrtydxb/Fastllm-proxy	108	—	~512	Automated safety check: Pass	Apache-2.0	5 days ago
AI Research Reproductionlllllllama/RigorPilot-Skills	497	1 repos	~1.8k	Automated safety check: Pass	MIT	17 days ago
Onnxtxtonnx/onnx	22k	—	~1.3k	Automated safety check: Pass	Apache-2.0	today
Add Publication DocsRLinf/RLinf	5.5k	—	~1.1k	Automated safety check: Pass	Apache-2.0	yesterday
Create Simple Promptpnp/copilot-prompts	893	—	~2.6k	Automated safety check: Pass	MIT	4 days ago
Google Agents CLI Adk Codepifferologo/cloud-agents-cli	129	1 repos	~768	Automated safety check: Pass	Apache-2.0	1 mo ago

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More from azrtydxb/Fastllm-proxy

All 14 skills in this repo

Fastllm Backends
azrtydxb/Fastllm-proxy
Run and troubleshoot the inference backends on the DGX Spark pair that FastLLM proxies to — starting or stopping models with vLLM, SGLang or sparkrun, choosing memory and speculative-decoding…
108 GitHub stars~980 tokensUpdated 5 days ago
Auto-check passed
Fastllm Classifier
azrtydxb/Fastllm-proxy
Manage FastLLM prompt classes for semantic routing — create classes and their example prompts, list or delete them, and evaluate how a given prompt would be classified.
108 GitHub stars~499 tokensUpdated 5 days ago
Auto-check passed
Fastllm Deployment
azrtydxb/Fastllm-proxy
Inspect and control the running FastLLM deployment — read effective configuration and deployment settings, force a snapshot rebuild, fetch the snapshot the proxies consume, and check liveness and…
108 GitHub stars~727 tokensUpdated 5 days ago
Auto-check passed
Fastllm Gateway
azrtydxb/Fastllm-proxy
Send inference requests through the FastLLM OpenAI-compatible gateway — chat completions, completions, embeddings, rerank, score, responses, moderations, audio speech and transcription, image…
108 GitHub stars~926 tokensUpdated 5 days ago
Auto-check passed
Fastllm MCP
azrtydxb/Fastllm-proxy
Manage and use MCP servers behind FastLLM — register, patch, delete and list MCP servers on the control plane, and list or call their tools through the gateway.
108 GitHub stars~515 tokensUpdated 5 days ago
Auto-check passed
Fastllm Models
azrtydxb/Fastllm-proxy
Register and maintain the models FastLLM can serve — create, patch or delete a model, attach backends to it, remove a backend, and set the deployment-wide fallback model.
108 GitHub stars~1.8k tokensUpdated 5 days ago
Auto-check passed

Questions about Fastllm Agents

What does Fastllm Agents do?

Manage and invoke A2A agents behind FastLLM — register, patch, delete and list agents on the control plane, list them through the gateway, fetch an agent card, and invoke an agent by name. Fastllm Agents is an agent skill from azrtydxb/Fastllm-proxy. Manage and invoke A2A agents behind FastLLM — register, patch, delete and list agents on the control plane, list them through the gateway, fetch an agent card, and invoke an agent by name.

When should I use Fastllm Agents?

Fastllm Agents fits situations like: putting one address in front of several agents; controlling which keys may set an agent running; debugging an agent invocation.

How do I install Fastllm Agents in Claude Code?

Run `npx skills add azrtydxb/Fastllm-proxy --skill fastllm-agents -a claude-code`. Or copy the skill folder (.claude/skills/fastllm-agents in azrtydxb/Fastllm-proxy) into .claude/skills/fastllm-agents in your project. Claude Code loads it when a task matches its description.

How do I install Fastllm Agents in Codex?

Run `npx skills add azrtydxb/Fastllm-proxy --skill fastllm-agents -a codex`. Or copy the skill folder (.claude/skills/fastllm-agents in azrtydxb/Fastllm-proxy) into .agents/skills/fastllm-agents in your project. Codex loads it when a task matches its description.

Can I use Fastllm Agents 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 azrtydxb/Fastllm-proxy --skill fastllm-agents -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/fastllm-agents, .gemini/skills/fastllm-agents, .github/skills/fastllm-agents and .opencode/skills/fastllm-agents in your project.

What does Fastllm Agents need to run?

Going by SKILL.md and its folder, Fastllm Agents needs the command-line tools its instructions call (curl).

Does Fastllm Agents access the network?

SKILL.md contains no URLs. Its commands use curl, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Fastllm Agents 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 Fastllm Agents use?

Fastllm Agents is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Fastllm Agents use?

About 512 tokens (SKILL.md is roughly 2k 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 Fastllm Agents?

Skills that share tags, products or a category with Fastllm Agents: AI Research Reproduction (lllllllama/RigorPilot-Skills, 497 stars), Onnxtxt (onnx/onnx, 22k stars), Add Publication Docs (RLinf/RLinf, 5.5k stars) and Create Simple Prompt (pnp/copilot-prompts, 893 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Fastllm Agents?

azrtydxb (a GitHub organization) maintains it in azrtydxb/Fastllm-proxy, which has 108 GitHub stars. The repository holds 14 skills in this directory. The repository was last updated on October 5, 2026.

Source: azrtydxb/Fastllm-proxy on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Fastllm Agents

Facts

At a glance

What it does

When your agent uses it

Example prompts

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

FastLLM agents

Auth

Traps

Files

Compare with similar skills

Similar skills

More from azrtydxb/Fastllm-proxy

Related

Questions about Fastllm Agents