agent-eval

agent-eval is a command for Claude Code from sairam0424/MindForge. It costs 38 tokens per session (566 once invoked), scanned A, original, MIT.

A command for measuring an AI agent's performance across complete tasks. It can compare the agent with a baseline using quality, cost, and speed metrics.

In plain words
What is it for?
Use it to benchmark agents, compare versions, and review their quality, cost, or speed.
Why use it?
It helps reveal whether an agent is improving and where it falls short.

Command for Claude Code

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.

agentmods
npx agentmods add commands/sairam0424/mindforge/agent-eval
Clone the repo
git clone --depth 1 https://github.com/sairam0424/MindForge

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 agent-eval

README.md
[![agentmods](https://agentmods.dev/badge/commands/sairam0424/mindforge/agent-eval.svg)](https://agentmods.dev/commands/sairam0424/mindforge/agent-eval)
Your own site
<a href="https://agentmods.dev/commands/sairam0424/mindforge/agent-eval"><img src="https://agentmods.dev/badge/commands/sairam0424/mindforge/agent-eval.svg" alt="Measured on agentmods" height="20"></a>
Per session 38 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 566 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
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 $0.00038 $0.00566
Opus 5 $0.00019 $0.00283
Sonnet 5 $0.00008 $0.00113
Haiku 4.5 $0.00004 $0.00057

Measured today against content hash 062e25e331c2, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

agent-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 today.

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.

.claude/commands/mindforge/agent-eval.md · 28 lines

What it actually says

<execution_context> @.mindforge/skills/agent-evaluation-framework/SKILL.md </execution_context>

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. today First seen · 28 lines · 38 tokens per session scan A 062e25e331c2

Subscribe to this mod's changes

agent-eval is a command published in the GitHub repository sairam0424/MindForge (0 stars, last pushed yesterday), licensed MIT. It adds 38 tokens to every session and 566 once invoked, about $0.0002 per session on Opus 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 2026-09-03.