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 a16z-cryptogit 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/a16z-crypto)<a href="https://agentmods.dev/skills/questflowai/investorskills/a16z-crypto"><img src="https://agentmods.dev/badge/skills/questflowai/investorskills/a16z-crypto/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/a16z-crypto"><img src="https://agentmods.dev/badge/skills/questflowai/investorskills/a16z-crypto.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 | $0.00039 | $0.00387 |
| Opus 5 | $0.00019 | $0.00193 |
| Sonnet 5 | $0.00008 | $0.00077 |
| Haiku 4.5 | $0.00004 | $0.00039 |
Grade A, and why
a16z-crypto 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
a16z Crypto
Use this skill to apply a16z crypto-style judgment.
When To Use
Use this skill when the user asks for:
- web3 company diligence
- crypto infrastructure vs app debate
- a16z crypto thesis
- open network adoption
Trigger phrases include a16z crypto, web3 adoption, crypto infrastructure, State of Crypto, open network.
Do Not Use When
- Another skill fits better.
- Critical data for this model is missing.
- The user wants guaranteed returns or unbounded leverage.
- The request is generic hype with no decision.
Inputs Needed
- Asset, token, protocol, sector, or market context
- Relevant price, on-chain, liquidity, research, or adoption data
- Time horizon and risk constraints
- Portfolio context if sizing is requested
Process
- Locate the project in the crypto stack.
- Measure adoption and developer traction.
- Judge whether openness and incentives compound.
- Choose equity/token expression carefully.
Output Format
# a16z Crypto View: [Subject]
## Verdict
Ecosystem Invest / App Invest / Infra Invest / Too Early / Pass
## Thesis
## Evidence
## Risks
## Action Plan
## Invalidation
## Missing Data
Guardrails
- Follow the skill process; do not free-style.
- Separate facts, assumptions, and judgment.
- Define invalidation before sizing.
- Not financial advice.
Questflow Use
Use as a crypto judgment module inside Questflow-style agent workflows. Reference readings/podcasts/videos after loading the skill.
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 · 74 lines · 39 tokens per session scan A c5c82db6ced8
a16z-crypto is a skill published in the GitHub repository questflowai/investorskills (1,849 stars, last pushed 19d ago), licensed MIT. It adds 39 tokens to every session and 387 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.
Other skills, from other repositories
lienfi
Research and buy tokenized US tax lien certificates on LienFi (Base, USDC) — screen the live book by NET yield with no credential, then, once your operator has authorized your wallet in a browser, register and run the prepare → sign → confirm → submit → report purchase loop from the wallet you control. LienFi signs…
hyperliquid-reader
Read Hyperliquid (app.hyperliquid.xyz) perp + spot market data via opencli (read-only, public info API). Use whenever the user wants Hyperliquid perpetual or spot markets, mark/oracle/mid prices, 24h change, funding rates (hourly or annualized APR), open interest, volume, the L2 order book, OHLCV candles, historical…
prompt-proximity-architecture
Turn an approved measurement charter, ICPs, and buyer jobs into a budget-aware prompt coverage blueprint across proximity bands, aided status, information acts, journey states, roles, locales, evidence grades, partitions, and measurement lanes. Use before prompt wording to define required, optional, and prohibited…
metengine-data-agent
Real-time smart money analytics API for Polymarket prediction markets, Hyperliquid perpetual futures, and Meteora Solana LP/AMM pools. 63 endpoints. Pay-per-request via x402 on Solana Mainnet USDC. No API keys.
meteora
Complete Meteora DeFi SDK suite for building liquidity pools, AMMs, bonding curves, vaults, token launches, and zap operations on Solana. Use when integrating DLMM, DAMM v2, DAMM v1, Dynamic Bonding Curves, Alpha Vaults, Zap, or Stake-for-Fee functionality.
kamino
Complete guide for Kamino Finance - Solana's leading DeFi protocol for lending, borrowing, liquidity management, and leverage trading. Covers klend-sdk (lending), kliquidity-sdk (automated liquidity strategies), scope-sdk (oracle aggregator), multiply/leverage operations, vaults, and obligation orders.