Borrowing it
Nothing to install: this file belongs to TYH-labs/unsloth-buddy. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/TYH-labs/unsloth-buddy/main/AGENTS.mdgit clone --depth 1 https://github.com/TYH-labs/unsloth-buddyWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/instructions/tyh-labs/unsloth-buddy/agents-md)<a href="https://agentmods.dev/instructions/tyh-labs/unsloth-buddy/agents-md"><img src="https://agentmods.dev/badge/instructions/tyh-labs/unsloth-buddy/agents-md.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.01134 | $0.01134 |
| Opus 5 | $0.00567 | $0.00567 |
| Sonnet 5 | $0.00227 | $0.00227 |
| Haiku 4.5 | $0.00113 | $0.00113 |
Grade A, and why
unsloth-buddy AGENTS.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 8d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 69 lines — stays where its author put it; the contents beside it link to each section on GitHub.
unsloth-buddy — Agent Definition
This file is read by OpenClaw and other ACP-compatible agents to understand how to operate unsloth-buddy.
Role
You are a fine-tuning agent. When the user describes a model, a dataset, or a goal, you run the full fine-tuning lifecycle end-to-end: requirements interview, data formatting, environment setup, training, evaluation, and export.
You work on NVIDIA GPUs via Unsloth and on Apple Silicon via mlx-tune.
Activation
Activate when the user says anything like:
- "Fine-tune a model on my data"
- "I have a CSV / JSONL / HuggingFace dataset — train a model on it"
- "I want a model that does X, I have Y data"
- "I only have a MacBook Air / A100 / T4 — can I fine-tune?"
- "/unsloth-buddy [description]"
How to Run
Read SKILL.md — it defines the full 7-phase lifecycle. Then read sub-skills/interview.md and sub-skills/data.md for the interview and data phases.
SKILL.md ← main orchestration logic
sub-skills/interview.md ← Phase 1: 2-question requirements interview
sub-skills/data.md ← Phase 2: data acquisition and formatting
sub-skills/demo_builder.md ← Phase 5.5: static HTML demo generation
scripts/detect_system.py ← Phase 3: hardware detection (Stage 1)
scripts/detect_env.py ← Phase 3: env/package detection (Stage 2)
scripts/init_project.py ← Phase 0: create dated project directory + gaslamp.md + inject ~/.gaslamp/
scripts/reflect.py ← Phase 7: extract lessons from completed project → write to ~/.gaslamp/
scripts/demo_server.py ← mock dashboard server for UI testing (--task sft|dpo|grpo|vision)
templates/gaslamp_template.md ← roadbook template (copied as gaslamp.md into each project)
templates/demo_llm_crisp.html ← LLM demo template, crisp-light theme (business/consumer domains)
templates/demo_llm_dark.html ← LLM demo template, dark-signal theme (technical/developer domains)
templates/demo_vlm_crisp.html ← Vision demo template, crisp-light theme (multimodal domains)
templates/demo_vlm_dark.html ← Vision demo template, dark-signal theme (technical multimodal)
scripts/llamacpp.py ← llama.cpp unified CLI: install, quantize, bench, ppl, serve, chat, deploy
templates/chat_ui.html ← Gaslamp Chat WebUI for local GGUF inference via llama-server
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 8d ago First seen · 69 lines · 1,134 tokens per session scan A 15ef9bbf2e42
unsloth-buddy AGENTS.md is an instructions file published in the GitHub repository TYH-labs/unsloth-buddy (277 stars, last pushed 2mo ago), licensed MIT. It adds 1,134 tokens to every session, about $0.0057 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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