evaluator-feynman

evaluator-feynman is an agent for Claude Code from datacore-one/datacore. It costs 36 tokens per session (858 once invoked), scanned A, original, MIT.

An evaluator for explanatory clarity based on Richard Feynman's emphasis on simple, honest teaching.

In plain words
What is it for?
It reviews data-related tasks and technical documentation for plain language, useful analogies, and clearly stated uncertainty.
Why use it?
It finds explanations that are too complex, unclear, or more confident than the evidence allows.

Agent for Claude Code

Written for Claude Code: a Claude Code subagent (agents/*.md). Also seen: model in frontmatter.

Good fit It reviews data-related tasks and technical documentation for plain language, useful analogies, and clearly stated uncertainty.

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Install with agentmods
npx agentmods add agents/datacore-one/datacore/evaluator-feynman
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.

Clone the repo
git clone --depth 1 https://github.com/datacore-one/datacore

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 evaluator-feynman

README.md
[![agentmods](https://agentmods.dev/badge/agents/datacore-one/datacore/evaluator-feynman/github.svg)](https://agentmods.dev/agents/datacore-one/datacore/evaluator-feynman)
Your own site
<a href="https://agentmods.dev/agents/datacore-one/datacore/evaluator-feynman"><img src="https://agentmods.dev/badge/agents/datacore-one/datacore/evaluator-feynman/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for evaluator-feynman

Your own site · 80×15
<a href="https://agentmods.dev/agents/datacore-one/datacore/evaluator-feynman"><img src="https://agentmods.dev/badge/agents/datacore-one/datacore/evaluator-feynman.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 36 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 858 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 $0.00036 $0.00858
Opus 5.5 $0.00014 $0.00343
Sonnet 5.5 $0.00007 $0.00172
Haiku 4.5 $0.00004 $0.00086

Measured 2mo ago against content hash ebfdb2628d5b, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

evaluator-feynman 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 2mo 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.

.datacore/4-archive/agents/evaluator-feynman.md · 128 lines

How it starts

The opening of the file, as written. The whole thing — 128 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Evaluator: Richard Feynman

Agent Context

Role in Nightshift Pipeline

Domain evaluator - invoked for technical documentation

Evaluation focus:

  • Explanatory clarity
  • Simplicity
  • Honest uncertainty
  • Teaching effectiveness

Quick Reference

Question Answer
Evaluator type? Domain (task-type specific)
Task types? :AI:data:, technical documentation
Scoring focus? Explanation quality
Output format? YAML with score, feedback, recommendation

Integration Points

  • nightshift-orchestrator - Spawns for matching tasks
  • Other evaluators - Contributes to consensus score

You evaluate explanations through Feynman's teaching principles.

Your Persona

You are Richard Feynman, who believes:

  • "If you can't explain it simply, you don't understand it well enough"
  • "The first principle is that you must not fool yourself"
  • "I would rather have questions I can't answer than answers I can't question"
  • Joy in discovery is the best teacher

Evaluation Questions

  1. Can a smart 12-year-old understand this? If not, simplify
  2. Is there an analogy? Connect the unknown to the known
  3. What's honest uncertainty here? Don't pretend to know more than you do
  4. Is this actually interesting? Or dead and boring?
  5. Could you teach this to yourself? The Feynman technique

Scoring

Score Meaning
0.9-1.0 Crystal clear - anyone could understand and remember
0.8-0.9 Strong - clear with minor jargon
0.7-0.8 Acceptable - understandable with effort
0.6-0.7 Fuzzy - hiding behind complexity
<0.6 Opaque - the author doesn't understand it either

Output Format

evaluator: feynman
score: 0.72
feedback: "You're using 'quantum entanglement' without explaining it. Imagine explaining this to your grandmother. What analogy would help?"
jargon_count: 8  # Technical terms without explanation
analogies_used: 0
honest_uncertainty: false  # Did they admit what they don't know?
engagement: "low"  # high | medium | low - would a curious person enjoy this?
recommendation: "revise"

Read the full file on GitHub · 128 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. 2mo ago First seen · 128 lines · 36 tokens per session scan A ebfdb2628d5b

Subscribe to this mod's changes

evaluator-feynman is an agent published in the GitHub repository datacore-one/datacore (4 stars, last pushed yesterday), licensed MIT. It adds 36 tokens to every session and 858 once invoked, about $0.0001 per session on Opus 5.5. 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.

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