# Autoresearch

> Autonomous optimization loop — iterates on prompts, skills, templates, or code overnight. Two evaluation modes: deterministic (eval.py with proxy heuristics) for mechanical checks, or AI judge (LLM rubric scoring) for creative/subjective quality. Uses 4-way agent separation for unbiased evaluation.

## Facts
- Page: https://tashan.sh/capability/plugin-naveedharri-benai-skills-autoresearch
- tashan id: plugin:naveedharri/benai-skills/autoresearch
- Source: https://github.com/naveedharri/benai-skills
- Type: plugin
- Category: other
- tashan score: 45.0 / 100
- Adoption: 7.0
- Upkeep: 100.0
- Freshness: 100.0
- Evidence coverage: 84% of the inputs this score can use
- Health: active
- Instruction depth: not yet graded
- License: MIT
- Official: no

## Install

```sh
/plugin marketplace add naveedharri/benai-skills
/plugin install autoresearch@benai-skills
```

## Security audit
Not scanned. We audit npm-published capabilities; this one has no npm package we can resolve, or has not reached the queue. This is not a clean bill of health.

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Measured 2026-09-13 by tashan (https://tashan.sh) from public evidence. Scorer s5.