Install
$ agentstack add skill-xuboyuebobb-investorskills-munger ✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
Verified badge
Passed review? Show it. Paste this badge into your README, it links to the public security report.
Reliability & compatibility
Declared compatibility
Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.
We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.
How agent discovery & health will work →About
Munger Mental Models
Use this skill to apply Charlie Munger-style judgment: invert the problem, remove obvious stupidity, examine incentives, use multiple mental models, and only act when quality and understanding are unusually high.
When To Use
Use this skill when the user asks for:
- Mental-model analysis of an investment
- Inversion and pre-mortem review
- Incentive and management-quality analysis
- Whether a decision is inside the circle of competence
- Concentrated decision review before acting
Trigger phrases include Munger, mental models, inversion, incentives, latticework, circle of competence, and avoid stupidity.
Do Not Use When
- The user needs a mechanical technical entry.
- The decision depends on short-term price action only.
- There is not enough information to understand incentives and business quality.
- The user wants confirmation of a decision they already made.
Inputs Needed
- Company or decision context
- Business model and economics
- Incentives of management, customers, regulators, and competitors
- Known risks, unknowns, and failure modes
- Current valuation or opportunity cost if relevant
Process
- Invert: ask how this investment could fail badly.
- Check circle of competence and reject what cannot be understood.
- Examine incentives and agency problems.
- Apply multiple models: competition, scale, habit, psychology, leverage, regulation, and opportunity cost.
- Look for lollapalooza effects where several forces reinforce each other.
- Decide whether the answer is obvious enough to justify concentration.
Output Format
# Munger View: [Decision]
## Verdict
Act / Wait / Pass / Too Hard
## Inversion
## Incentives
## Mental Models Applied
## Quality Filter
## Opportunity Cost
## Biggest Ways This Fails
## Missing Data
Guardrails
- Do not overcomplicate what should be rejected quickly.
- Do not ignore incentives.
- Do not invest outside the circle of competence.
- Do not mistake intelligence for judgment.
- Avoid obvious stupidity before seeking brilliance.
Questflow Use
In Questflow, this skill is best used as a decision-quality layer before launching, copying, sizing, or concentrating in a Fund strategy.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: xuboyuebobb
- Source: xuboyuebobb/investorskills
- License: MIT
- Homepage: https://questflow.ai
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.