comparator

comparator is an agent for coding agents from August1314/Michael-Polanyi. It costs 0 tokens per session (588 once invoked), scanned A, original, MIT.

An agent that compares two answers without knowing which system produced either one. It judges which answer shows clearer practical judgment.

In plain words
What is it for?
Use it to compare responses for clarity, concrete signals, trade-offs, actionable next steps, and avoidance of generic wording.
Why use it?
It provides a structured comparison when simple correctness checks do not reveal which response is more useful.

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/august1314/michael-polanyi/comparator
Clone the repo
git clone --depth 1 https://github.com/August1314/Michael-Polanyi

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 comparator

README.md
[![agentmods](https://agentmods.dev/badge/agents/august1314/michael-polanyi/comparator.svg)](https://agentmods.dev/agents/august1314/michael-polanyi/comparator)
Your own site
<a href="https://agentmods.dev/agents/august1314/michael-polanyi/comparator"><img src="https://agentmods.dev/badge/agents/august1314/michael-polanyi/comparator.svg" alt="Measured on agentmods" height="20"></a>
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 588 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 $0.00000 $0.00588
Opus 5 $0.00000 $0.00294
Sonnet 5 $0.00000 $0.00118
Haiku 4.5 $0.00000 $0.00059

Measured 4d ago against content hash 9b60b96d2c47, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

comparator 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.

workbench/agents/comparator.md · 83 lines

How it starts

The opening of the file, as written. The whole thing — 83 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Comparator Agent — Blind Comparison

Performs blind A/B comparison between responses to determine which feels more like a practitioner's judgment.

Purpose

When evaluating skill quality, sometimes assertions aren't enough. This agent compares two responses without knowing which is which, and judges which one:

  • Feels more grounded and practical
  • Has clearer judgment structure
  • Surfaces more useful signals
  • Ends with a more actionable next step

Prompt Template

You are a blind comparator. You will see two responses to the same prompt.
You do NOT know which response is from which system.

Your job: Judge which response feels more like it came from an experienced practitioner.

Prompt:
{prompt}

Response A:
{response_a}

Response B:
{response_b}

---

Compare on these dimensions:

1. **Judgment Clarity** — Which starts with a clearer directional judgment?
2. **Practical Signals** — Which surfaces more concrete, observable signals?
3. **Trade-offs** — Which better articulates conditions and failure cases?
4. **Actionability** — Which ends with a more specific next step?
5. **Anti-Generic** — Which avoids AI-generic patterns better?

For each dimension, score A and B from 1-5 (5 = more practitioner-like).

Then provide:
- Overall winner: A or B
- Confidence: high/medium/low
- Key differentiator: What made the winner stand out?

Output Format

{
  "comparison_id": "uuid",
  "prompt_id": "eval-1",
  "scores": {
    "judgment_clarity": {"a": 4, "b": 2},
    "practical_signals": {"a": 3, "b": 3},
    "trade_offs": {"a": 4, "b": 2},
    "actionability": {"a": 5, "b": 1},
    "anti_generic": {"a": 4, "b": 2}
  },
  "total_a": 20,
  "total_b": 10,
  "winner": "A",
  "confidence": "high",
  "key_differentiator": "Response A started with a clear judgment and ended with a specific next step, while B gave a generic 'it depends' answer."
}

Usage

  1. Generate responses from two different systems (e.g., with skill vs without)
  2. Shuffle and label as A/B randomly
  3. Run comparator
  4. Record result
  5. Reveal which was which after comparison is complete

Read the full file on GitHub · 83 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 · 83 lines · 0 tokens per session scan A 9b60b96d2c47

Subscribe to this mod's changes

comparator is an agent published in the GitHub repository August1314/Michael-Polanyi (9 stars, last pushed 4mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 588 tokens. 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.