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 skills add terrene-foundation/kailash-coc-claude-py --skill 35-kailash-aligngit clone --depth 1 https://github.com/terrene-foundation/kailash-coc-claude-pyWrote 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/skills/terrene-foundation/kailash-coc-claude-py/35-kailash-align)<a href="https://agentmods.dev/skills/terrene-foundation/kailash-coc-claude-py/35-kailash-align"><img src="https://agentmods.dev/badge/skills/terrene-foundation/kailash-coc-claude-py/35-kailash-align/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/terrene-foundation/kailash-coc-claude-py/35-kailash-align"><img src="https://agentmods.dev/badge/skills/terrene-foundation/kailash-coc-claude-py/35-kailash-align.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00034 | $0.01590 |
| Opus 5 | $0.00017 | $0.00795 |
| Sonnet 5 | $0.00007 | $0.00318 |
| Haiku 4.5 | $0.00003 | $0.00159 |
Grade A, and why
kailash-align 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 9d 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- kailash-align — 92% identical, 2 lines differ
How it starts
The opening of the file, as written. The whole thing — 166 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Kailash Align - LLM Fine-Tuning & Alignment
LLM fine-tuning and alignment framework built on TRL (Transformer Reinforcement Learning). 12 supported methods, LoRA adapter management, evaluation-before-serving, and deployment to Ollama/vLLM.
Python-only for v1 — GPU required for training.
Install
pip install kailash-align # Core (torch, transformers, trl>=1.0, peft)
pip install kailash-align[rlhf] # + QLoRA (bitsandbytes)
pip install kailash-align[eval] # + benchmarks (lm-eval)
pip install kailash-align[serve] # + GGUF/Ollama (llama-cpp-python, gguf)
pip install kailash-align[online] # + fast generation (vllm, CUDA only)
pip install kailash-align[full] # Everything
12 Supported Methods
| Category | Methods | Data Format | Reward Needed |
|---|---|---|---|
| offline | sft, dpo, cpo | text / prompt+chosen+rejected | No |
| unpaired | kto, bco | prompt+completion+label | No |
| monolithic | orpo | prompt+chosen+rejected | No |
| online | grpo, rloo, ppo, online_dpo, xpo, nash_md | prompt only | Yes (except online_dpo) |
Special combo: sft_then_dpo — two-stage SFT then DPO with adapter chaining.
Quick Start
from kailash_align import AlignmentConfig, AlignmentPipeline
config = AlignmentConfig(
method="dpo",
base_model_id="meta-llama/Llama-3.1-8B",
)
pipeline = AlignmentPipeline(config=config)
result = await pipeline.train(dataset=preference_dataset, adapter_name="my-dpo-adapter")
# result.adapter_id, result.metrics, result.training_time
Pipeline: config --> train --> evaluate --> serve
AlignmentConfig
│
▼
AlignmentPipeline.train()
│
▼
AlignmentEvaluator.evaluate() ← MANDATORY before serving
│
▼
AlignmentServing.deploy() ← Ollama / vLLM / GGUF export
│
▼
KaizenModelBridge.load() ← Connect to Kaizen agents
What ships with it
4 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 9d ago First seen · 166 lines · 34 tokens per session scan A d40bfa942027
kailash-align is a skill published in the GitHub repository terrene-foundation/kailash-coc-claude-py (12 stars, last pushed 24d ago), licensed Apache-2.0. It adds 34 tokens to every session and 1,590 once invoked, about $0.0002 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 2026-09-03.
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