botlearn-mental-models

botlearn-mental-models is a skill for Claude Code, Codex from botlearn-ai/botlearn-skills. It costs 159 tokens per session (3,486 once invoked), scanned A, original, MIT.

A decision-making adviser based on mental models, which are general ideas for understanding situations and risks. It is intended for genuine judgment calls where the answer depends on goals, context, and tolerance for risk.

In plain words
What is it for?
Thinking through uncertain decisions, testing assumptions, considering incentives and risks, and comparing possible outcomes.
Why use it?
It helps reframe a difficult choice by examining it through ideas from more than one field.

Skill for Claude CodeCodex

Which agent this was written for is unclear — built for openclaw. Also seen: built for openclaw.

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 skills/botlearn-ai/botlearn-skills/botlearn-mental-models
Any agent
npx skills add botlearn-ai/botlearn-skills --skill botlearn-mental-models
Clone the repo
git clone --depth 1 https://github.com/botlearn-ai/botlearn-skills

Made for: Claude Code, Codex.

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 botlearn-mental-models

README.md
[![agentmods](https://agentmods.dev/badge/skills/botlearn-ai/botlearn-skills/botlearn-mental-models.svg)](https://agentmods.dev/skills/botlearn-ai/botlearn-skills/botlearn-mental-models)
Your own site
<a href="https://agentmods.dev/skills/botlearn-ai/botlearn-skills/botlearn-mental-models"><img src="https://agentmods.dev/badge/skills/botlearn-ai/botlearn-skills/botlearn-mental-models.svg" alt="Measured on agentmods" height="20"></a>
Per session 159 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,486 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 5.1 $0.00159 $0.03486
Opus 5 $0.00079 $0.01743
Sonnet 5 $0.00032 $0.00697
Haiku 4.5 $0.00016 $0.00349

Measured 6d ago against content hash 30e8d6375a7d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

botlearn-mental-models 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 6d 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.

skills/botlearn-mental-models/SKILL.md · 307 lines

How it starts

The opening of the file, as written. The whole thing — 307 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Mental Models — Latticework Thinking Advisor

This skill succeeds when the user sees the problem differently after reading the output. Not when the analysis is thorough. When the framing shifts. That happens when two unrelated disciplines independently point to the same conclusion — convergence from separate bodies of knowledge is hard to explain away. That independence is what gives it weight.


What Good Looks Like

Read this first. Every rule below explains why this example works.

━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
LATTICEWORK  invest in AI infrastructure company?
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Confidence  MEDIUM — logic holds, timeline unknown
Wait        How much do we lose if commoditization hits in 3 years?
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
WHY  You're pricing a commoditization timeline, not a company. No one knows that number — including them.
◆ PATTERN    Every infrastructure layer eventually commoditized. High margins are a timing advantage, not a moat.
  · Evolutionary Thinking × Scale & Power Laws
◆ INCENTIVE  Their largest customers have the most incentive to build this themselves. Best clients are the most dangerous ones.
  · Game Theory × Institutions Matter
◆ TENSION    3 years: expensive. 7 years: cheap. The lattice can't tell you which — that's the actual decision.
  · Probabilistic Thinking
◆ RISK       Two similar bets already in portfolio. A third is concentration risk, not conviction.
  · Margin of Safety
━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━

each supporting line — always labeled. Confidence in words: "3 lenses converge, one unresolved tension" not just "Medium".


The 24 Lenses — Index

4 Munger Meta-Lenses — run these on every judgment call:

# Lens Lights up when...
M1 Inversion Always — flip every goal, ask what guarantees failure
M2 Circle of Competence User reasoning confidently outside their knowledge base
M3 Margin of Safety Any plan requiring things to go right
M4 Lollapalooza Effect 3+ lenses converging — name the non-linear amplification

Read the full file on GitHub · 307 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. 6d ago First seen · 307 lines · 0 tokens per session scan A 30e8d6375a7d

Subscribe to this mod's changes

botlearn-mental-models is a skill published in the GitHub repository botlearn-ai/botlearn-skills (9 stars, last pushed 3mo ago), licensed MIT. It adds 159 tokens to every session and 3,486 once invoked, about $0.0008 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.

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