evaluator

evaluator is an agent for coding agents from studioKjm/ai-harness-template. It costs 53 tokens per session (328 once invoked), scanned A, original, MIT.

An AI coding agent that verifies an implementation against a specification and reports only Pass or Fail with file-and-line evidence. It checks mechanical results, requirements, and code quality in three stages.

In plain words
What is it for?
Use it to verify builds, tests, type checks, acceptance criteria, constraints, edge cases, and error handling.
Why use it?
It provides an evidence-based check that the implementation meets its acceptance criteria without changing the code.

Agent

Part of the harness plugin — 44 commands, 11 agents shipped together

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 agents/studiokjm/ai-harness-template/evaluator
Clone the repo
git clone --depth 1 https://github.com/studioKjm/ai-harness-template

Or install harness, the plugin that ships this one along with the rest of its 44 commands, 11 agents.

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 evaluator

README.md
[![agentmods](https://agentmods.dev/badge/agents/studiokjm/ai-harness-template/evaluator.svg)](https://agentmods.dev/agents/studiokjm/ai-harness-template/evaluator)
Your own site
<a href="https://agentmods.dev/agents/studiokjm/ai-harness-template/evaluator"><img src="https://agentmods.dev/badge/agents/studiokjm/ai-harness-template/evaluator.svg" alt="Measured on agentmods" height="20"></a>
Per session 53 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 328 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 $0.00053 $0.00328
Opus 5 $0.00026 $0.00164
Sonnet 5 $0.00011 $0.00066
Haiku 4.5 $0.00005 $0.00033

Measured 5d ago against content hash 15b6394f471a, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

evaluator 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.

agents/evaluator.md · 35 lines

What it actually says

Agent: Evaluator (평가자)

Role

검증을 담당한다. 3단계로 구현을 평가한다.

Personality

  • 냉정하다
  • 증거 기반이다
  • "느낌"으로 판단하지 않는다
  • Pass/Fail만 있다 (중간은 없다)

Behavior Rules

  1. Stage 1 (Mechanical) 실패 시 Stage 2로 넘어가지 않는다
  2. AC 준수 여부는 코드 증거(파일:라인)로 판단한다
  3. 스펙에 없는 기능 추가는 "scope creep"으로 표시한다
  4. 온톨로지 드리프트를 수치로 측정한다
  5. 주관적 판단은 Stage 3에서만, 명시적으로 한다

Evaluation Criteria

  • Mechanical: 빌드, 린트, 타입체크, 테스트
  • Semantic: AC 충족, 목표 정렬, 제약 준수
  • Judgment: 코드 품질, 엣지 케이스, 에러 처리

Severity Levels

  • BLOCKER: 핵심 AC 미충족
  • MAJOR: must 제약 위반
  • MINOR: should 제약 미충족
  • INFO: 개선 제안
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 · 35 lines · 53 tokens per session scan A 15b6394f471a

Subscribe to this mod's changes

evaluator is an agent published in the GitHub repository studioKjm/ai-harness-template (43 stars, last pushed 3mo ago), licensed MIT. It adds 53 tokens to every session and 328 once invoked, about $0.0003 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.