Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add instructions/cerebrixos-org/tuning-engines-cli/claude-mdgit clone --depth 1 https://github.com/cerebrixos-org/tuning-engines-cliWrote 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/cerebrixos-org/tuning-engines-cli/claude-md)<a href="https://agentmods.dev/instructions/cerebrixos-org/tuning-engines-cli/claude-md"><img src="https://agentmods.dev/badge/instructions/cerebrixos-org/tuning-engines-cli/claude-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 | $0.00584 | $0.00584 |
| Opus 5 | $0.00292 | $0.00292 |
| Sonnet 5 | $0.00117 | $0.00117 |
| Haiku 4.5 | $0.00058 | $0.00058 |
Grade A, and why
tuning-engines-cli CLAUDE.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 5d 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 — 68 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Tuning Engines MCP Server
Fine-tune large language models and browse the Marketplace of pre-built models and datasets from your AI assistant using the Tuning Engines platform.
Setup
npm install -g tuningengines-cli
te config set-token <your-te-api-key>
Or use environment variable: export TE_API_KEY=te_...
Claude Desktop Configuration
Add to ~/Library/Application Support/Claude/claude_desktop_config.json:
{
"mcpServers": {
"tuning-engines": {
"command": "npx",
"args": ["-y", "tuningengines-cli", "mcp", "serve"],
"env": {
"TE_API_KEY": "te_your_key_here"
}
}
}
}
Claude Code
claude mcp add tuning-engines -- npx -y tuningengines-cli mcp serve
Available Tools
| Tool | Description |
|---|---|
list_jobs |
List training jobs with optional status filter |
show_job |
Get details of a specific training job |
create_job |
Submit a new fine-tuning training job |
cancel_job |
Cancel a running or queued job |
job_status |
Get live job status with GPU usage and charges |
retry_job |
Retry a failed job from its last checkpoint |
estimate_job |
Get a cost estimate before submitting |
list_models |
List your trained and imported models |
show_model |
Get details of a specific model |
delete_model |
Delete a model from cloud storage |
get_balance |
Check account balance and recent transactions |
list_catalog_models |
List pre-built models and datasets from the Marketplace |
get_catalog_model |
Get details of a Marketplace item |
export_catalog_model |
Export a Marketplace item to your S3 bucket |
catalog_export_status |
Check the status of a Marketplace export |
Examples
- "List my training jobs" -> calls
list_jobs - "How much would it cost to fine-tune Llama 3.1 8B for 3 epochs?" -> calls
estimate_job - "Create a training job using my-repo for Llama 3.1 8B" -> calls
create_job - "What's the status of job abc-123?" -> calls
job_status - "Show my account balance" -> calls
get_balance - "List my trained models" -> calls
list_models - "Show me the marketplace" -> calls
list_catalog_models - "Export the Ruby specialist model to my S3" -> calls
export_catalog_model
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.
- 5d ago First seen · 68 lines · 584 tokens per session scan A 495b70127136
tuning-engines-cli CLAUDE.md is an instructions file published in the GitHub repository cerebrixos-org/tuning-engines-cli (6 stars, last pushed 18d ago), licensed MIT. It adds 584 tokens to every session, about $0.0029 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 2026-08-31.
Other instructions, from other repositories
axolotl AGENTS.md
AGENTS.md instructions for axolotl-ai-cloud/axolotl, covering axolotl, tech stack, commands, training methods and config pattern.
pi-tinker AGENTS.md
Instructions for gvkhosla/pi-tinker, covering agent guide for pi-tinker, product promise, agent compatibility, best first commands for users and what is possible.
tpu_performance_autoresearch_wiki CLAUDE.md
Claude Code instructions for vlasenkoalexey/tpu_performance_autoresearch_wiki, a project described as: Wiki built using Karpathy method containing information about TPU performance optimizations and hooking it up to autoresearch optimization engine.
pi-tinker copilot-instructions.md
Instructions for gvkhosla/pi-tinker, a project described as: Fine-tune open-source models with Tinker from inside Pi — managed improve loops, data prep, evals, smoke tests, deploy snippets, and checkpoint chat.
tunelab AGENTS.md
Instructions for rchaz/tunelab, covering agents.md — running tunelab from any agent, what tunelab does, start here, always, the skills and when each applies and how to run the scripts.
cavegemma AGENTS.md
AGENTS.md instructions for JuliusBrussee/cavegemma, covering agents.md, what this project is, what "caveman" means in code, pipeline at a glance and specific traps (each cost real hours / $).