Superpowers Evals CLI

Behavioral eval lab Quorum for the superpowers project: drives real agent CLIs and grades them against private criteria

  • 145 ★ on the repository
  • Last commit
CLI

Broad access

Why this level

  • Live runs launch agents in no-confirmation modes, and Claude and Codex get broad execution rights
  • Some runs copy operator credentials, which can leak into logs if misconfigured
All reasons and checks

prime-radiant-inc/superpowers-evals

Install

In your terminal, with SkillFoxx CLI

npx skillfoxx add cli/superpowers-evals

Detects the agents on your machine, shows the access level and pins the version.

Other ways to install

Access and checks

How we review

Broad accessThe tool can change data, run commands or handle secrets.

  • Live runs launch agents in no-confirmation modes, and Claude and Codex get broad execution rights
  • Some runs copy operator credentials, which can leak into logs if misconfigured

This is third-party code. Review the repository files before installing.

What it does

Superpowers Evals is a behavioral eval lab for the superpowers project. The `quorum` tool drives and grades real coding agent CLIs: Claude, Codex, Antigravity, Gemini, Hermes, Kimi, OpenCode, Pi and Copilot. New scenarios use a user-like conversation, then a fresh evidence-based assessment against private criteria plus deterministic post-checks. The authors note the lab checks workflow compliance and is no generic benchmark suite. It checks skill triggering, worktree behaviour, subagent coordination, verification reflexes, review quality and cost-shaping patterns. The `arms` folder describes compared configurations, for example Claude Opus and Codex on branches of pull request 2258. There are two modes. Static checks (`biome`, `tsc`, `bun test`) are safe for public CI and call no models. Live evals launch agents in permissive modes and collect raw transcripts, tool calls, filesystem state and session logs.

Who it is for. Authors of skills and workflows for agents who want to measure process compliance by models, and maintainers of the superpowers project.

Good fit when

  • You need to check whether a skill triggers across different agents and models
  • Agent configurations are compared before and after a pull request change
  • Agent behaviour is graded across a conversation and not a single answer
  • Static code checks are needed in public CI without calling models

Not a fit when

  • You need a general programming benchmark: the lab checks process compliance
  • You have no trusted isolated machine: live evals launch agents in dangerous modes
  • You need a simple check of one prompt without scenarios

Example request

Run the quorum static checks without calling models and show which scenarios exist for checking skill triggering

Limitations

Live evals are for trusted maintainers only: Claude runs with `--dangerously-skip-permissions`, Codex with `--dangerously-bypass-approvals-and-sandbox` and Antigravity uses a seeded copy of the operator account. They must not be wired into public CI or keep API keys there. The tool is built on Bun and TypeScript, and the repository is large (over sixteen hundred files). The last commit is dated September 11, 2026.

How to disable. Stop running `quorum run` and delete the cloned repository together with the seeded agent credential copies the runs created.

FAQ

What is Quorum?

The lab tool that drives real agent CLIs and grades them against private criteria and deterministic checks.

Which agents are supported?

Claude, Codex, Antigravity, Gemini, Hermes, Kimi, OpenCode, Pi and Copilot.

Can checks run in public CI?

Only static ones: `biome`, `tsc` and `bun test`. Live runs that launch agents must not be added to public CI.

What does the lab evaluate?

Workflow compliance: skill triggering, worktrees, subagents, verification reflexes, review quality and cost shaping.

Is it a general benchmark?

No, the authors say outright that it is a process compliance lab for superpowers.

Discussion

No questions or reviews yet.

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Comparison with similar tools

Cards that share the main search query, and how they differ.

ToolOfficialRepository starsMain difference
Superpowers Evals (this card)no145
Evals Skillsno1,770scenario-based process checks with real agent CLIs and private criteria
SkillEvaluatoryes859checks agent behaviour in a conversation and does not write graders for one skill

README in short

The README describes the lab as behavioral checking for superpowers and explains the `quorum` naming. Sections cover the safety model (static and live checks) and the dangers of live runs with the list of permissive flags for each agent.

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