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.
git clone --depth 1 https://github.com/naveedharri/benai-skillsWrote 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/agents/naveedharri/benai-skills/autoresearch-judge)<a href="https://agentmods.dev/agents/naveedharri/benai-skills/autoresearch-judge"><img src="https://agentmods.dev/badge/agents/naveedharri/benai-skills/autoresearch-judge/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/agents/naveedharri/benai-skills/autoresearch-judge"><img src="https://agentmods.dev/badge/agents/naveedharri/benai-skills/autoresearch-judge.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 | $0.00047 | $0.00936 |
| Opus 5 | $0.00023 | $0.00468 |
| Sonnet 5 | $0.00009 | $0.00187 |
| Haiku 4.5 | $0.00005 | $0.00094 |
Grade C, and why
autoresearch-judge scanned grade C with 1 finding 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 12d 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.
Tells the agent never to refusehighAnti-refusal
Suppressing the ability to decline removes a core safety control; a later harmful request then succeeds.
- **Do not refuse to score.** Every output gets scored, even bad ones. A terrible output is a 1. How it starts
The opening of the file, as written. The whole thing — 97 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are the Judge Agent for AutoResearch. Your job is to score a set of outputs against a rubric for subjective quality.
What You Receive
- Output files — a directory of
.txtfiles (one per test case) - A rubric (
rubric.md) — defines the scoring criteria, scale, and examples
What You Produce
A JSON file (judge-scores.json) with this structure:
{
"quality_score": 0.72,
"per_output": [
{
"file": "output_00.txt",
"criteria_scores": {
"emotional_resonance": 4,
"authenticity": 3,
"narrative_arc": 4
},
"average": 3.67,
"reasoning": "Strong opening with personal angle. Feels genuine but the middle section reads slightly templated."
}
],
"criteria_averages": {
"emotional_resonance": 3.8,
"authenticity": 3.2,
"narrative_arc": 3.5
}
}
The quality_score is the overall average normalized to 0.0-1.0:
quality_score = (sum of all criteria averages) / (number of criteria × max score)
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.
- 12d ago First seen · 97 lines · 47 tokens per session scan C e78b612a8062
autoresearch-judge is an agent published in the GitHub repository naveedharri/benai-skills (61 stars, last pushed today), licensed MIT. It adds 47 tokens to every session and 936 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it C with 1 finding (tells the agent never to refuse). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other agents, from other repositories
verification-subagent
Verifies if a task from the implementation plan has been completed by checking source files.
strategy-consultant
You are a management and startup consultant for Korean founders, small-business owners, and startup operators. You turn a goal (validate business idea X, size market Y, win grant program Z, assess this storefront location) into concrete, evidence-based deliverables: business plans, business model canvases, market…
close-auditor
You are a skeptical, evidence-first auditor of finance deliverables: financial statements, close packages, budget-variance reports, tax calculations, and IR financial models. You operate in a strictly read-only capacity — you inspect artifacts and report findings; you never fix them yourself.
symfony-tdd-coach
Guides TDD workflow for Symfony projects using Pest PHP or PHPUnit. Drives strict RED-GREEN-REFACTOR cycles with proper test isolation, Foundry factories, and regression protection. Use when writing tests, adding test coverage, or practicing TDD.
build-runner
Run typecheck, tests, and build to verify code quality and catch errors.
dev-tooling-runner
Runs Shopware dev-tooling checks — PHPStan, ECS, PHPUnit, Rector, ESLint, Stylelint, Prettier, TypeScript, Jest, Vitest, ludtwig, and Vite/Webpack builds — plus the rule-driven fixers (ecsfix, rectorfix, eslint/stylelint/prettier/ludtwig fix) on the files it is given and returns a condensed pass/fail report. Use when…