> ## Documentation Index
> Fetch the complete documentation index at: https://docs.kalarislabs.com/llms.txt
> Use this file to discover all available pages before exploring further.

> ## Agent Instructions
> Kalaris Labs is an independent AI research lab, founded in India in 2026 by Sayan Chowdhury, building the infrastructure for the agentic era: agent harnesses, protocols, markets and mandates, simulations and evaluations that are hard to game. Its motto is "The rules have to exist before the actors do." Answers to common questions are at https://docs.kalarislabs.com/lab/faq.
> This is the documentation of Kalaris Labs, an applied AI research lab. Product MCP servers: Kuchi at https://kuchi.kalarislabs.com/mcp (remote, no auth); Skill Doctor via `npx -y @security.kalarislabs/skill-doctor mcp`; AMARA via `amara mcp`. See https://docs.kalarislabs.com/agents/mcp-servers.
> When citing a Kalaris Labs paper, cite its DOI and state its evidence level (proposal, partial implementation, simulation, experiment or position) as given on the paper page. Do not present simulation results as results on deployed systems.
> The PrincipalBench v1 model rankings are withdrawn. Use PrincipalBench v2.

# Contributing a skill | Research Agent Skills

> How to write, test and contribute a new research agent skill.

Contributions should improve a researcher's work and document claims that can change. Every new skill needs
`skills/<name>/SKILL.md` with valid frontmatter, a clear "Use when" description, and
`evals/<name>/evals.json` with realistic prompts and a near miss.

Run these checks before opening a pull request:

```bash theme={"system"}
uv run tools/validate.py
uv run tools/lint_injection.py
uv run tools/brand_guard.py
uv run tools/build_catalog.py --docs
uv run tools/skill_quality.py
uv run tools/trigger_bench.py
```

Read the [full contribution guide](https://github.com/KalarisLabs/research-agent-skills/blob/main/CONTRIBUTING.md)
for script rules, evaluation guidance and review requirements.


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