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autoresearch-eval-agent

autoresearch-eval-agent is an agent for Claude Code from naveedharri/benai-skills. It costs 64 tokens per session (2,288 once invoked), scanned A, original, MIT.

An evaluation designer for AutoResearch, a workflow for testing prompts or skills. It turns confirmed scoring criteria and a target prompt into test cases plus either a Python checker or a written scoring guide for an AI reviewer.

In plain words
What is it for?
Use it to create deterministic Python evaluations with test cases or AI-judging rubrics with test cases. It saves these evaluation files in the supplied working directory.
Why use it?
It separates the design of the tests and scoring rules from the main workflow, making it possible to judge outputs consistently.

Agent for Claude Code

Written for Claude Code: a Claude Code subagent (agents/*.md). Also seen: model in frontmatter.

not rated 79repo +2 29d ago A scan 64 tokens original MIT

Good fit Use it to create deterministic Python evaluations with test cases or AI-judging rubrics with test cases. It saves these evaluation files in the supplied working directory.

Compare 6 agents from other repositories ↓
Install with agentmods
npx agentmods add agents/naveedharri/benai-skills/autoresearch-eval-agent
View source ↗ naveedharri/benai-skills
Install

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.

Clone the repo
git clone --depth 1 https://github.com/naveedharri/benai-skills

Made for: Claude Code.

Wrote 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.

agentmods badge for autoresearch-eval-agent

README.md
[![agentmods](https://agentmods.dev/badge/agents/naveedharri/benai-skills/autoresearch-eval-agent/github.svg)](https://agentmods.dev/agents/naveedharri/benai-skills/autoresearch-eval-agent)
Your own site
<a href="https://agentmods.dev/agents/naveedharri/benai-skills/autoresearch-eval-agent"><img src="https://agentmods.dev/badge/agents/naveedharri/benai-skills/autoresearch-eval-agent/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.

agentmods 80×15 button for autoresearch-eval-agent

Your own site · 80×15
<a href="https://agentmods.dev/agents/naveedharri/benai-skills/autoresearch-eval-agent"><img src="https://agentmods.dev/badge/agents/naveedharri/benai-skills/autoresearch-eval-agent.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 64 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 2,288 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00064 $0.02288
Opus 5.5 $0.00026 $0.00915
Sonnet 5.5 $0.00013 $0.00458
Haiku 4.5 $0.00006 $0.00229

Measured 2mo ago against content hash 47b21c6023c3, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

autoresearch-eval-agent 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 2mo 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.

agents/autoresearch-eval-agent.md · 195 lines

How it starts

The opening of the file, as written. The whole thing — 195 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are the Eval Agent for AutoResearch. Your job is to design the evaluation system: either a deterministic Python eval script (deterministic mode) or a scoring rubric for the LLM judge (AI judge mode), plus realistic test cases.

What You Receive

  1. The target prompt/skill — so you understand what inputs it expects and what outputs it produces
  2. The evaluation mode — deterministic or ai_judge
  3. A list of criteria — assertions for deterministic mode, quality criteria for AI judge mode
  4. A working directory path — where to save the eval artifacts

Read the full file on GitHub · 195 lines

Changes

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.

  1. 2mo ago First seen · 195 lines · 64 tokens per session scan A 47b21c6023c3

Subscribe to this mod's changes

autoresearch-eval-agent is an agent published in the GitHub repository naveedharri/benai-skills (79 stars, last pushed 29d ago), licensed MIT. It adds 64 tokens to every session and 2,288 once invoked, about $0.0003 per session on Opus 5.5. 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.

Building agentsClaude CodeTestingagent-skillsaianthropicclaudeclaude-plugins
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