Investor Skills is an open-source library that organizes investing judgment—such as evaluating opportunities, managing risk, and acting under uncertainty—into structured, reusable instructions for people and AI finance agents. It is designed for studying and applying investment approaches, including inside Questflow and other agent tools. The catalogue includes portable skill packages from the library.
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.
npx skills add questflowai/investorskills --skill li-lu-valuegit clone --depth 1 https://github.com/questflowai/investorskillsWrote 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.
[](https://agentmods.dev/skills/questflowai/investorskills/li-lu-value)<a href="https://agentmods.dev/skills/questflowai/investorskills/li-lu-value"><img src="https://agentmods.dev/badge/skills/questflowai/investorskills/li-lu-value/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.
<a href="https://agentmods.dev/skills/questflowai/investorskills/li-lu-value"><img src="https://agentmods.dev/badge/skills/questflowai/investorskills/li-lu-value.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00038 | $0.00346 |
| Opus 5 | $0.00019 | $0.00173 |
| Sonnet 5 | $0.00008 | $0.00069 |
| Haiku 4.5 | $0.00004 | $0.00035 |
Grade A, and why
li-lu-value 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 11d 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.
What it actually says
Li Lu Value
Use this skill to apply Li Lu-style value investing: deeply understand a high-quality business inside the circle of competence, demand downside protection, and hold concentrated positions through long compounding periods.
When To Use
- Long-term quality/value analysis
- China or global compounder review
- Business owner mindset and downside-first underwriting
- Concentrated portfolio decision
Trigger phrases include Li Lu, Himalaya, China value, BYD, Moutai, circle of competence, and long-term compounder.
Process
- Define circle of competence and business model.
- Evaluate management, moat, culture, and reinvestment runway.
- Estimate conservative value and downside.
- Require strong margin of safety or exceptional quality.
- Size only when long-term conviction is earned.
Output Format
# Li Lu View: [Company]
## Verdict
Own / Watch / Too Hard / Too Expensive / Pass
## Circle Of Competence
## Business Quality
## Management / Culture
## Downside Protection
## Long-Term Compounding Path
## Invalidation
Guardrails
- Do not invest outside competence.
- Do not ignore governance and jurisdiction risk.
- Do not use short-term price action to override business truth.
Questflow Use
In Questflow, this skill is best used for long-term global quality/value underwriting and concentrated Fund theses.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 11d ago First seen · 53 lines · 38 tokens per session scan A e2851751d602
li-lu-value is a skill published in the GitHub repository questflowai/investorskills (1,845 stars, last pushed 18d ago), licensed MIT. It adds 38 tokens to every session and 346 once invoked, about $0.0002 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 2026-08-30.
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