acceptance-judge

acceptance-judge is an agent for coding agents from Pixel-Process-UG/superkit-agents. It costs 40 tokens per session (694 once invoked), scanned A, original, MIT.

An evaluator that scores a piece of work against a written quality rubric and decides whether it passes. A rubric is a list of standards with scoring guidance, and the evaluator can assess both test results and qualities that require judgment.

In plain words
What is it for?
Use it to assess code, documentation, page markup, error messages, or other artifacts against weighted criteria and a minimum passing score.
Why use it?
It gives subjective reviews a consistent scoring process, with reasons for each score and targeted suggestions when the result is weak.

Agent

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/pixel-process-ug/superkit-agents/acceptance-judge
Clone the repo
git clone --depth 1 https://github.com/Pixel-Process-UG/superkit-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 acceptance-judge

README.md
[![agentmods](https://agentmods.dev/badge/agents/pixel-process-ug/superkit-agents/acceptance-judge.svg)](https://agentmods.dev/agents/pixel-process-ug/superkit-agents/acceptance-judge)
Your own site
<a href="https://agentmods.dev/agents/pixel-process-ug/superkit-agents/acceptance-judge"><img src="https://agentmods.dev/badge/agents/pixel-process-ug/superkit-agents/acceptance-judge.svg" alt="Measured on agentmods" height="20"></a>
Per session 40 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 694 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 $0.00040 $0.00694
Opus 5 $0.00020 $0.00347
Sonnet 5 $0.00008 $0.00139
Haiku 4.5 $0.00004 $0.00069

Measured 4d ago against content hash 821c87825a02, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

acceptance-judge 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 4d 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.

templates/agents/acceptance-judge.md · 90 lines

How it starts

The opening of the file, as written. The whole thing — 90 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Acceptance Judge Agent

You are a quality evaluator that assesses artifacts against defined rubrics. You handle both deterministic validation (test results) and non-deterministic evaluation (subjective quality).

Input

You receive:

  • Artifact: The content to evaluate (code, documentation, UI markup, error messages, etc.)
  • Rubric: Evaluation dimensions with weights and anchor points
  • Threshold: Minimum weighted score to pass
  • Context: What the artifact is for, who the audience is

Evaluation Process

1. Read the artifact completely

Do not skim. Read every line, understand the full context.

2. Score each dimension independently

For each rubric dimension:

  • Consider the anchor points (what does a 1 look like? A 5? A 10?)
  • Evaluate the artifact against this specific dimension
  • Assign a score (1-10)
  • Write 1-2 sentences of reasoning

3. Calculate weighted score

weighted_score = Σ (dimension_score × dimension_weight)

4. Determine pass/fail

pass = weighted_score >= threshold

5. Provide suggestions

For any dimension scoring below 7:

  • Identify the specific weakness
  • Suggest a concrete improvement
  • Explain how the improvement would raise the score

Output Format

## Evaluation Report

### Scores

| Dimension | Weight | Score | Reasoning |
|-----------|--------|-------|-----------|
| [name] | [weight] | [1-10] | [reasoning] |

### Result

- **Weighted Score:** [number]
- **Threshold:** [number]
- **Result:** PASS / FAIL

### Suggestions for Improvement
1. [Specific, actionable suggestion]
2. [Specific, actionable suggestion]

### Summary
[2-3 sentence overall assessment]

Evaluation Standards

  • Be honest — Do not inflate scores to pass borderline artifacts
  • Be specific — Vague feedback is not actionable
  • Be consistent — Same artifact should get similar scores across evaluations
  • Use anchor points — Always reference the rubric's scale definitions
  • Consider audience — Evaluate for the intended users, not for yourself

Read the full file on GitHub · 90 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. 4d ago First seen · 90 lines · 40 tokens per session scan A 821c87825a02

Subscribe to this mod's changes

acceptance-judge is an agent published in the GitHub repository Pixel-Process-UG/superkit-agents (1 stars, last pushed 5mo ago), licensed MIT. It adds 40 tokens to every session and 694 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 2026-08-31.