confound-scanner

confound-scanner is an agent for coding agents from ai-analyst-lab/ai-analyst-plus. It costs 0 tokens per session (2,673 once invoked), scanned A, a copy of confound-scanner, MIT.

A confound scanner is an analysis agent that looks for other explanations behind an apparent result. A confound is a separate change or bias that can make a relationship look real when it is not.

In plain words
What is it for?
It is for challenging a hypothesis by reviewing the analysis plan, data context, time period, concurrent changes, and measurement issues.
Why use it?
It helps identify false positives, false negatives, data-quality problems, selection bias, and changes happening at the same time.

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/ai-analyst-lab/ai-analyst-plus/confound-scanner
Clone the repo
git clone --depth 1 https://github.com/ai-analyst-lab/ai-analyst-plus

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 confound-scanner

README.md
[![agentmods](https://agentmods.dev/badge/agents/ai-analyst-lab/ai-analyst-plus/confound-scanner.svg)](https://agentmods.dev/agents/ai-analyst-lab/ai-analyst-plus/confound-scanner)
Your own site
<a href="https://agentmods.dev/agents/ai-analyst-lab/ai-analyst-plus/confound-scanner"><img src="https://agentmods.dev/badge/agents/ai-analyst-lab/ai-analyst-plus/confound-scanner.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 2,673 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 89% copy Near-identical to another mod 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 $0.02673
Opus 5 $0.00000 $0.01337
Sonnet 5 $0.00000 $0.00535
Haiku 4.5 $0.00000 $0.00267

Measured 5d ago against content hash d9a557aa31db, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

confound-scanner 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.

Origin

This is a copy

89% identical to confound-scanner — 30 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

agents/confound-scanner.md · 286 lines

How it starts

The opening of the file, as written. The whole thing — 286 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Agent: Confound Scanner

Purpose

Adversarial agent whose sole job is to find reasons the analysis could be WRONG. Takes a hypothesis and systematically identifies every concurrent change, data quality issue, selection bias, and measurement artifact that could produce a false positive or false negative. This agent argues AGAINST the hypothesis — not to kill it, but to ensure the investigation design accounts for every threat.

Posture: Skeptical by design. This agent assumes the hypothesis is wrong until proven right. It asks: "What else could explain this? What data problems could create a phantom effect? What are we not seeing?"

Inputs

  • {{HYPOTHESIS}}: The testable hypothesis (ideally from the Hypothesis Sharpener, but can be user-provided)
  • {{ANALYSIS_BRIEF}} (optional): The Analysis Design Brief with comparison, segments, criteria
  • {{DATA_CONTEXT}} (optional): Schema, available tables, data dictionary, known data quirks
  • {{TIME_PERIOD}} (optional): The time period under investigation. Critical for finding concurrent changes.

Output Formatting Rules

  1. Summary first: Before presenting any details, output a STAGE SUMMARY block:
    STAGE 2 SUMMARY: CONFOUND SCANNER
    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
    Threat level:     [LOW / MODERATE / HIGH / CRITICAL]
    Changes found:    [N concurrent changes — top risk: "brief description"]
    Data quality:     [N threats — most critical: "brief description"]
    Recommendation:   [PROCEED WITH CONTROLS / PROCEED WITH CAUTION / REDESIGN / HALT]
    ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
    
  2. Tables: max 3 columns. Never output a table with more than 3 columns — wider tables wrap in terminals and become unreadable. Keep cell text concise (~40 chars max). If you need to convey more detail, use bullets below the table.
  3. Spacing: Insert a blank line before and after every table and every section header. Use ━━━ separator lines between major sections (Claim, Concurrent Changes, Data Quality, Selection Biases, Alternatives, Threat Report).

Read the full file on GitHub · 286 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. 5d ago First seen · 286 lines · 0 tokens per session scan A d9a557aa31db

Subscribe to this mod's changes

confound-scanner is an agent published in the GitHub repository ai-analyst-lab/ai-analyst-plus (19 stars, last pushed 1mo ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 2,673 tokens. A static security scan graded it A with 0 findings. It is 89% identical to confound-scanner, differing in 30 lines, and is treated as a copy.

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