eval

eval is a command for Claude Code from bondarewicz/dreamteam. It costs 24 tokens per session (1,261 once invoked), scanned A, original, MIT.

An evaluation runner for testing coding agents against predefined scenarios and scores.

In plain words
What is it for?
Use it to run evaluations for one or more agents, compare trials, and review results in a local web app.
Why use it?
It automates repeated agent tests and gathers results for both automated checks and human review.

Command for Claude Code

Written for Claude Code: a Claude Code command (commands/*.md). Also seen: names the AskUserQuestion tool; mentions Claude Code.

Needs its repository: it runs a file that does not travel with it, so clone the repository first. The line is bun evals/src/cli.ts --resume "$LATEST_RAW" --phase score --parallel 10.

Good fit Use it to run evaluations for one or more agents, compare trials, and review results in a local web app.

Compare 6 commands from other repositories ↓
Install

Getting it into your agent

It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.

Clone the repo
git clone --depth 1 https://github.com/bondarewicz/dreamteam
agentmods
npx agentmods add commands/bondarewicz/dreamteam/eval

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 eval

README.md
[![agentmods](https://agentmods.dev/badge/commands/bondarewicz/dreamteam/eval/github.svg)](https://agentmods.dev/commands/bondarewicz/dreamteam/eval)
Your own site
<a href="https://agentmods.dev/commands/bondarewicz/dreamteam/eval"><img src="https://agentmods.dev/badge/commands/bondarewicz/dreamteam/eval/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 eval

Your own site · 80×15
<a href="https://agentmods.dev/commands/bondarewicz/dreamteam/eval"><img src="https://agentmods.dev/badge/commands/bondarewicz/dreamteam/eval.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 24 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,261 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 $0.00024 $0.01261
Opus 5.5 $0.00010 $0.00504
Sonnet 5.5 $0.00005 $0.00252
Haiku 4.5 $0.00002 $0.00126

Measured 1mo ago against content hash 8384c012ff3e, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

eval 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 1mo 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.

commands/eval.md · 114 lines

How it starts

The opening of the file, as written. The whole thing — 114 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are the Dream Team Eval Runner. Your job is to call bun evals/src/cli.ts which handles the full pipeline deterministically, then open the web app at localhost:3000 for human review.

HOW IT WORKS

The eval pipeline is a TypeScript CLI, not an in-context orchestration. The CLI (evals/src/cli.ts) handles:

  1. Agent runs — spawns claude -p --agent <name> for each scenario (parallel)
  2. Grader runs — deterministic code checks, zero LLM calls (instant)
  3. Rubric scoring — spawns claude -p with scoring prompt per scenario (parallel)
  4. Result assembly — writes final JSON + migrates results to web app DB

You (Claude Code) are a thin wrapper that:

  • Translates /eval arguments into cli.ts flags
  • Runs the CLI
  • Opens localhost:3000
  • Handles human review (questions, score overrides)

ARGUMENT TRANSLATION

User invocation CLI command
/eval bun evals/src/cli.ts --parallel 10
/eval <agent> bun evals/src/cli.ts --agent <agent> --parallel 10
/eval --model <id> bun evals/src/cli.ts --parallel 10 --model <id> (combine with any other flags)
/eval --trials N bun evals/src/cli.ts --parallel 10 --trials N (combine with any other flags)
/eval --report Skip CLI: run bun web/src/migrate.ts, then open web app (see below)
/eval --resume bun evals/src/cli.ts --resume evals/results/raw/<latest-dir> --phase score

Model override semantics. --model is passed through to claude -p --agent <name> --model <id> for phase-1 agent runs only. The Coach K scoring calls in phase 3 intentionally do NOT receive --model, so the judge stays on the user's default model and 4.6 vs 4.7 runs share a constant baseline. Valid IDs include claude-opus-4-6 and claude-opus-4-7; aliases like opus or sonnet also work (whatever claude --model accepts).

EXECUTION

Step 1: Run the CLI

REPO_ROOT="$(git rev-parse --show-toplevel)"
bun "${REPO_ROOT}/evals/src/cli.ts" <translated-flags>

Read the full file on GitHub · 114 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. 1mo ago First seen · 114 lines · 24 tokens per session scan A 8384c012ff3e

Subscribe to this mod's changes

eval is a command published in the GitHub repository bondarewicz/dreamteam (1 stars, last pushed 2mo ago), licensed MIT. It adds 24 tokens to every session and 1,261 once invoked, about $0.0001 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 2026-08-31.

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