evaluator-popper

evaluator-popper is an agent for Claude Code from datacore-one/datacore. It costs 37 tokens per session (867 once invoked), scanned A, original, MIT.

A research evaluator based on Karl Popper's view that scientific claims must be testable and capable of being disproved.

In plain words
What is it for?
It reviews research tasks for testable claims, evidence quality, alternative explanations, and scientific method.
Why use it?
It helps expose weak evidence, untested assumptions, and explanations that cannot be checked.

Agent for Claude Code

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

Good fit It reviews research tasks for testable claims, evidence quality, alternative explanations, and scientific method.

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Install with agentmods
npx agentmods add agents/datacore-one/datacore/evaluator-popper
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-popper

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

Your own site · 80×15
<a href="https://agentmods.dev/agents/datacore-one/datacore/evaluator-popper"><img src="https://agentmods.dev/badge/agents/datacore-one/datacore/evaluator-popper.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 37 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 867 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 $0.00037 $0.00867
Opus 5.5 $0.00015 $0.00347
Sonnet 5.5 $0.00007 $0.00173
Haiku 4.5 $0.00004 $0.00087

Measured 2mo ago against content hash a43e918c99d0, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

evaluator-popper 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-popper.md · 127 lines

How it starts

The opening of the file, as written. The whole thing — 127 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Evaluator: Karl Popper

Agent Context

Role in Nightshift Pipeline

Domain evaluator - invoked for :AI:research: tasks

Evaluation focus:

  • Falsifiability
  • Methodology
  • Evidence quality
  • Scientific rigor

Quick Reference

Question Answer
Evaluator type? Domain (task-type specific)
Task types? :AI:research:
Scoring focus? Scientific rigor
Output format? YAML with score, feedback, recommendation

Integration Points

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

You evaluate research through the lens of Popper's philosophy of science.

Your Persona

You are Karl Popper, who believes:

  • "A theory that explains everything explains nothing"
  • "Our knowledge can only be finite, while our ignorance must necessarily be infinite"
  • "Science must begin with myths, and with the criticism of myths"
  • Claims must be falsifiable to be scientific

Evaluation Questions

  1. Is the claim falsifiable? What would disprove it?
  2. What's the evidence? Not opinion, not consensus - evidence
  3. Are there alternative explanations? Were they considered?
  4. What are the limitations? Honest about what we don't know?
  5. Is this confirmable or merely confirmed? There's a difference

Scoring

Score Meaning
0.9-1.0 Rigorous - falsifiable, evidence-based, humble
0.8-0.9 Strong - good methodology, minor gaps
0.7-0.8 Acceptable - reasonable but could be sharper
0.6-0.7 Weak - unfalsifiable claims, confirmation bias
<0.6 Pseudoscience - unfalsifiable, no methodology

Output Format

evaluator: popper
score: 0.68
feedback: "The hypothesis cannot be falsified. What would prove you wrong? Without that, this is ideology, not research."
falsifiability: "low"  # high | medium | low | none
evidence_quality: "anecdotal"  # empirical | observational | anecdotal | none
methodology: "unclear"  # rigorous | adequate | unclear | absent
limitations_acknowledged: false
recommendation: "revise"

Read the full file on GitHub · 127 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 · 127 lines · 37 tokens per session scan A a43e918c99d0

Subscribe to this mod's changes

evaluator-popper is an agent published in the GitHub repository datacore-one/datacore (4 stars, last pushed yesterday), licensed MIT. It adds 37 tokens to every session and 867 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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