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Agent skill

Fastllm Classifier

by azrtydxb in 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.

Apache-2.0Auto-check passedAI & LLM Engineering

Install Fastllm Classifier

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

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

GitHub CLI
$ gh skill install azrtydxb/Fastllm-proxy fastllm-classifier --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-classifier .claude/skills/fastllm-classifier && 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
fastllm-classifier
GitHub stars
108
Token cost
~499 tokens
SKILL.md length
162 words
Files
1
Skills in repo
14
Repo updated
First seen
Licence
Apache-2.0

At a glance

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.

  • Routing should depend on what a request is about rather than who sent it
  • SKILL.md covers Auth and Traps
  • Calls curl
  • Tuning classifier accuracy

What it does

Fastllm Classifier is an agent skill from 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. Use when routing should depend on what a request is about rather than who sent it, when tuning classifier accuracy, or when a class-based routing rule is not matching as expected.

Its SKILL.md is about 500 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

  • Routing should depend on what a request is about rather than who sent it
  • Tuning classifier accuracy
  • A class-based routing rule is not matching as expected

Example prompts

  • “/fastllm-classifier”

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 Classifier loads about 499 tokens when it runs. Until then it costs about 92 tokens; SKILL.md has 162 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~92
When it runs · the whole SKILL.md, loaded when a task matches
~499

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). 162 words, ~499 tokens.

Download SKILL.mdSave it as .claude/skills/fastllm-classifier/SKILL.md (or your agent's skills folder).
name
fastllm-classifier
description
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. Use when routing should depend on what a request is about rather than who sent it, when tuning classifier accuracy, or when a class-based routing rule is not matching as expected.

FastLLM classifier

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 -->
MethodPathSummaryBody fields
GET/admin/prompt-classesRead prompt-classes—
POST/admin/prompt-classesCreate prompt-classesname, description, tier, min_margin, refines, examples*
POST/admin/prompt-classes/evaluateLeave-one-out precision and recall over your own class examples—
DELETE/admin/prompt-classes/{id}Delete prompt-classes id—
POST/admin/prompt-classes/{id}/examplesCreate prompt-classes id examplesprompt

* optional field

<!-- END GENERATED: endpoints -->

Traps

Evaluate before you route on it. POST /admin/prompt-classes/evaluate returns the class and its margin for a prompt without changing anything. A class that looks obvious to a human may not clear the confidence floor.

An unclassified request has no class, so every rule naming one falls through — that is the designed behaviour when no classifier model is loaded, no classes are configured, or the best class misses the margin.

Classification costs time on the request path. The fast tier runs per request; the refined tier is loaded lazily and only when a rule needs it.

© azrtydxb, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

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

Open the folder on GitHubat commit 5d53db8

Compare with similar skills

Fastllm Classifier 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 Classifier compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Fastllm Classifier this skillazrtydxb/Fastllm-proxy108—~499Automated safety check: PassApache-2.0
Agent BuildershareAI-lab/learn-claude-code78k5 repos~1.2kAutomated safety check: PassMIT
Add Uint Supportpytorch/pytorch104k2 repos~2.3kAutomated safety check: PassCustom licence
LLM Benchmarking with lm-evaluation-harnessOrchestra-Research/AI-Research-SKILLs13k8 repos~3kAutomated safety check: PassMIT
Segment Anything Model GuideOrchestra-Research/AI-Research-SKILLs13k8 repos~3.3kAutomated safety check: PassMIT
1passwordtrpc-group/trpc-agent-go1.9k14 repos~656Automated safety check: PassApache-2.0

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More from azrtydxb/Fastllm-proxy

All 14 skills in this repo

  • Fastllm Agents

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  • Fastllm Backends

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  • Fastllm Gateway

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  • Fastllm MCP

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  • 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.

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Categories

Questions about Fastllm Classifier

What does Fastllm Classifier do?

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. Fastllm Classifier is an agent skill from 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.

When should I use Fastllm Classifier?

Fastllm Classifier fits situations like: routing should depend on what a request is about rather than who sent it; tuning classifier accuracy; A class-based routing rule is not matching as expected.

How do I install Fastllm Classifier in Claude Code?

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

How do I install Fastllm Classifier in Codex?

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

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

What does Fastllm Classifier need to run?

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

Does Fastllm Classifier 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 Classifier 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 Classifier use?

Fastllm Classifier 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 Classifier use?

About 499 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 Classifier?

Skills that share tags, products or a category with Fastllm Classifier: 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 Classifier?

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.