Agent skill

Fastllm Auth

Authenticate to the FastLLM control plane and manage sessions — log in for a session cookie, log out, set or reset a principal's password, and revoke every session at once.

Apache-2.0Auto-check passedAI & LLM Engineering

Install Fastllm Auth

skills CLI

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

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

GitHub CLI

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

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-auth -a codex

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

GitHub CLI

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

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

GitHub CLI

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

--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-auth -a gemini-cli

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

GitHub CLI

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

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-auth -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-auth .github/skills/fastllm-auth && 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-auth" agent skill from https://github.com/azrtydxb/Fastllm-proxy/tree/main/.claude/skills/fastllm-auth into .github/skills/fastllm-auth/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fastllm-auth", 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-auth -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-auth --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-auth .opencode/skills/fastllm-auth && 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-auth" agent skill from https://github.com/azrtydxb/Fastllm-proxy/tree/main/.claude/skills/fastllm-auth into .opencode/skills/fastllm-auth/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "fastllm-auth", 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-auth
GitHub stars: 108
Token cost: ~464 tokens
SKILL.md length: 151 words
Files: 1
Skills in repo: 14
Repo updated: Oct 5, 2026
First seen: Oct 7, 2026
Licence: Apache-2.0

At a glance

Authenticate to the FastLLM control plane and manage sessions — log in for a session cookie, log out, set or reset a principal's password, and revoke every session at once.

An admin call returns 401
SKILL.md covers Auth and Traps
Calls curl
No session cookie

What it does

Fastllm Auth is an agent skill from azrtydxb/Fastllm-proxy. Authenticate to the FastLLM control plane and manage sessions — log in for a session cookie, log out, set or reset a principal's password, and revoke every session at once. Use when an admin call returns 401 or "no session cookie", when setting up admin access, or after a suspected credential leak. Not for gateway API keys used by clients (fastllm-principals).

Its SKILL.md is about 460 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

An admin call returns 401
No session cookie
Setting up admin access
After a suspected credential leak

Example prompts

“no session cookie”
“/fastllm-auth”

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 Auth loads about 464 tokens when it runs. Until then it costs about 94 tokens; SKILL.md has 151 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~94
When it runs · the whole SKILL.md, loaded when a task matches: ~464

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). 151 words, ~464 tokens.

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

name: fastllm-auth
description: Authenticate to the FastLLM control plane and manage sessions — log in for a session cookie, log out, set or reset a principal's password, and revoke every session at once. Use when an admin call returns 401 or "no session cookie", when setting up admin access, or after a suspected credential leak. Not for gateway API keys used by clients (fastllm-principals).

FastLLM auth

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
`PUT`	`/admin/principals/{id}/password`	Set principals id password	`password`
`POST`	`/admin/sessions/revoke-all`	Invalidate every session, including the caller's	—
`POST`	`/login`	Exchange a name and password for a session cookie	`name`, `password`
`POST`	`/logout`	Clear the session cookie	—

* optional field

<!-- END GENERATED: endpoints -->

Traps

Two credential systems, deliberately different. Admin access is a name+password login returning a session cookie; client access to /v1/* is a principal API key sent as a bearer token. Passwords hash with Argon2id, API keys with SHA-256 — keys are high-entropy random, passwords are low-entropy and human-chosen. Do not conflate them.

A master-key secret in the cluster is a gateway key, not an admin login. Presenting it to /admin/* returns {"error":"no session cookie"}.

revoke-all logs out every session including your own. Expect to log in again immediately afterwards.

Files

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

Open the folder on GitHubat commit 5d53db8

Compare with similar skills

Fastllm Auth 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 Auth compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Fastllm Auth this skillazrtydxb/Fastllm-proxy	108	—	~464	Automated safety check: Pass	Apache-2.0	5 days ago
Agent BuildershareAI-lab/learn-claude-code	78k	4 repos	~1.2k	Automated safety check: Pass	MIT	12 days ago
Add Uint Supportpytorch/pytorch	104k	2 repos	~2.3k	Automated safety check: Pass	Custom licence	today
LLM Benchmarking with lm-evaluation-harnessOrchestra-Research/AI-Research-SKILLs	13k	8 repos	~3k	Automated safety check: Pass	MIT	3 mo ago
Segment Anything Model GuideOrchestra-Research/AI-Research-SKILLs	13k	8 repos	~3.3k	Automated safety check: Pass	MIT	3 mo ago
1passwordtrpc-group/trpc-agent-go	1.9k	14 repos	~656	Automated safety check: Pass	Apache-2.0	today

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More from azrtydxb/Fastllm-proxy

All 14 skills in this repo

Fastllm Agents
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.
108 GitHub stars~512 tokensUpdated 5 days ago
Auto-check passed
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
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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
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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…
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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
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Questions about Fastllm Auth

What does Fastllm Auth do?

Authenticate to the FastLLM control plane and manage sessions — log in for a session cookie, log out, set or reset a principal's password, and revoke every session at once. Fastllm Auth is an agent skill from azrtydxb/Fastllm-proxy. Authenticate to the FastLLM control plane and manage sessions — log in for a session cookie, log out, set or reset a principal's password, and revoke every session at once.

When should I use Fastllm Auth?

Fastllm Auth fits situations like: an admin call returns 401; no session cookie; setting up admin access; after a suspected credential leak.

How do I install Fastllm Auth in Claude Code?

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

How do I install Fastllm Auth in Codex?

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

Can I use Fastllm Auth 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-auth -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-auth, .gemini/skills/fastllm-auth, .github/skills/fastllm-auth and .opencode/skills/fastllm-auth in your project.

What does Fastllm Auth need to run?

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

Does Fastllm Auth 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 Auth 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 Auth use?

Fastllm Auth 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 Auth use?

About 464 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.

What are the alternatives to Fastllm Auth?

Skills that share tags, products or a category with Fastllm Auth: Agent Builder (shareAI-lab/learn-claude-code, 78k stars), Add Uint Support (pytorch/pytorch, 104k stars), LLM Benchmarking with lm-evaluation-harness (Orchestra-Research/AI-Research-SKILLs, 13k stars) and Segment Anything Model Guide (Orchestra-Research/AI-Research-SKILLs, 13k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Fastllm Auth?

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 Auth

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 auth

Auth

Traps

Files

Compare with similar skills

Similar skills

More from azrtydxb/Fastllm-proxy

Related

Questions about Fastllm Auth