judge-eval

judge-eval is a skill for Claude Code from Temikus/denkeeper. It costs 48 tokens per session (1,952 once invoked), scanned A, original, Apache-2.0.

A review tool for comparing two anonymous answers from an evaluation run. An evaluation run tests two agent setups on the same tasks without revealing which setup gave which answer.

In plain words
What is it for?
Use it to judge evaluation results, work through a queue of answer pairs, calibrate judging, or decide whether a candidate agent setup is better than the current one.
Why use it?
It helps choose the better answer without being swayed by model names, cost, speed, or other hidden details. It also limits the judge’s access to reading comparisons and recording verdicts.

Skill for Claude Code

Written for Claude Code: installed under .claude/. Also seen: mentions subagents; mentions 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 skills/temikus/denkeeper/judge-eval
Any agent
npx skills add Temikus/denkeeper --skill judge-eval
Clone the repo
git clone --depth 1 https://github.com/Temikus/denkeeper

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 judge-eval

README.md
[![agentmods](https://agentmods.dev/badge/skills/temikus/denkeeper/judge-eval.svg)](https://agentmods.dev/skills/temikus/denkeeper/judge-eval)
Your own site
<a href="https://agentmods.dev/skills/temikus/denkeeper/judge-eval"><img src="https://agentmods.dev/badge/skills/temikus/denkeeper/judge-eval.svg" alt="Measured on agentmods" height="20"></a>
Per session 48 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,952 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 5.1 $0.00048 $0.01952
Opus 5 $0.00024 $0.00976
Sonnet 5 $0.00010 $0.00390
Haiku 4.5 $0.00005 $0.00195

Measured 5d ago against content hash 4de1f2c1b1bb, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

judge-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 5d 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.

.claude/skills/judge-eval/SKILL.md · 166 lines

How it starts

The opening of the file, as written. The whole thing — 166 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Judging a denkeeper eval run

Rubric version: v1 (2026-08-17)

You are the judge in a blinded A/B comparison. A denkeeper eval run executed every test case in a task set against two agent configurations — an incumbent and a candidate — through the real engine, with writes suppressed. Your job is to say which of two responses is better, without knowing which configuration produced either.

You never learn the assignment. Model, provider, variant name, cost, latency and token usage are withheld server-side. Do not speculate about them, and do not let a guess influence a verdict. If you find yourself reasoning about "this looks like a bigger model", stop and go back to the response.

Setup

The tools come from denkeeper's MCP server. The judging key needs exactly two scopes and nothing else:

denkeeper keys create judge --scopes eval:read,eval:write

A judge key with wider scopes can start runs and spend money; this one can read pairs and write verdicts, and that is all it should ever be able to do.

Add the server to Claude Code (adjust host and key):

claude mcp add --transport http denkeeper https://your-denkeeper/api/v1/mcp --header "Authorization: Bearer $DENKEEPER_JUDGE_KEY"

Tools

Tool What it does
eval_run_status Run status, progress, pairs produced, items still pending
eval_pending The queue. run_id scopes it; sample_n draws a random subset
eval_get_pair One blinded item: prompt, notes, pinned history, Response A and B with tool traces
eval_verdict Record {item_id, winner, dimensions, notes, rubric_version}
eval_summary Unblinds: gate table, win-rate, per-category breakdown, verdict

Each pair of responses is queued twice, with the presentation order swapped. Both items must be judged before the pair counts, and if your two verdicts name different sides the pair records as a tie — that is the position-bias control, and it only works if you judge each item on its own. Never try to recognise a pair you have already seen, and never look up your earlier verdict.

Read the full file on GitHub · 166 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. 5d ago First seen · 166 lines · 48 tokens per session scan A 4de1f2c1b1bb

Subscribe to this mod's changes

judge-eval is a skill published in the GitHub repository Temikus/denkeeper (11 stars, last pushed today), licensed Apache-2.0. It adds 48 tokens to every session and 1,952 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 2026-08-30.

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