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 minervini-vcpgit 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/minervini-vcp)<a href="https://agentmods.dev/skills/questflowai/investorskills/minervini-vcp"><img src="https://agentmods.dev/badge/skills/questflowai/investorskills/minervini-vcp/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/minervini-vcp"><img src="https://agentmods.dev/badge/skills/questflowai/investorskills/minervini-vcp.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 | $0.00040 | $0.00557 |
| Opus 5 | $0.00020 | $0.00279 |
| Sonnet 5 | $0.00008 | $0.00111 |
| Haiku 4.5 | $0.00004 | $0.00056 |
Grade A, and why
minervini-vcp 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 12d 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.
How it starts
The opening of the file, as written. The whole thing — 80 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Minervini VCP
Use this skill to apply Mark Minervini-style Volatility Contraction Pattern analysis: find leading stocks in uptrends, wait for volatility to contract through successive pullbacks, buy the breakout through a pivot, and cut quickly if the setup fails.
When To Use
Use this skill when the user asks for:
- VCP pattern review
- Platform/base breakout analysis
- Tightness and volatility contraction checks
- Moving-average and relative-strength alignment
- Entry, stop, and add plan for a growth leader
Trigger phrases include Minervini, VCP, volatility contraction, tightness, platform, pivot, SEPA, stage 2, and breakout.
Do Not Use When
- The stock is below key moving averages or in a downtrend.
- The base is wide, loose, and volatile.
- The breakout is far extended from the pivot.
- The user wants long-term value analysis only.
Inputs Needed
- Ticker, timeframe, and recent OHLCV
- Moving averages: 50-day, 150-day, 200-day if available
- Relative strength versus market and industry
- VCP contractions, pivot, volume dry-up, and breakout volume
- Earnings/sales growth if available
- Risk budget if sizing is requested
Process
- Confirm stage-2 uptrend and moving-average alignment.
- Check relative strength and leadership.
- Identify contraction sequence: each pullback should get smaller and tighter.
- Confirm volume dries up near the pivot.
- Define pivot, entry, stop, first add, and invalidation.
- Reject loose, extended, or lagging setups.
Output Format
# Minervini VCP View: [Stock]
## Verdict
Buyable Breakout / Watch Pivot / Too Loose / Extended / Failed / Pass
## Trend Template
## VCP Structure
## Pivot And Stop
## Volume And Relative Strength
## Trade Plan
## Missing Data
Guardrails
- Do not buy loose VCPs.
- Do not buy below declining key moving averages.
- Do not chase far above the pivot.
- Do not widen stops after entry.
- Do not average down.
Questflow Use
In Questflow, this skill is best used as a technical breakout module for detecting VCP/platform setups, defining stop levels, and monitoring breakout follow-through.
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.
- 12d ago First seen · 80 lines · 40 tokens per session scan A a0ac97348a86
minervini-vcp is a skill published in the GitHub repository questflowai/investorskills (1,849 stars, last pushed 19d ago), licensed MIT. It adds 40 tokens to every session and 557 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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