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-techno-optimistgit 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-techno-optimist)<a href="https://agentmods.dev/skills/questflowai/investorskills/a16z-techno-optimist"><img src="https://agentmods.dev/badge/skills/questflowai/investorskills/a16z-techno-optimist/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-techno-optimist"><img src="https://agentmods.dev/badge/skills/questflowai/investorskills/a16z-techno-optimist.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 | $0.00046 | $0.00456 |
| Opus 5.5 | $0.00018 | $0.00182 |
| Sonnet 5.5 | $0.00009 | $0.00091 |
| Haiku 4.5 | $0.00005 | $0.00046 |
Grade A, and why
a16z-techno-optimist 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 1mo 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 Techno-Optimist
Use this skill to apply Andreessen Horowitz-style judgment.
When To Use
Use this skill when the user asks for:
- AI/software platform diligence
- crypto network thesis
- market-creation startup
- techno-optimist sector bet
- a16z-style platform analysis
Trigger phrases include a16z, Andreessen, techno-optimist, software eats the world, platform power, AI venture, crypto venture.
Do Not Use When
- Another investor skill fits the setup better.
- Critical primary evidence is unavailable.
- The user wants guaranteed returns or unbounded risk.
- The request is generic chatter with no decision.
Inputs Needed
- Company, startup, token, report target, or market context
- Primary documents, product data, user/revenue evidence, or research materials
- Time horizon, capital structure, and risk constraints
- Valuation or round pricing if sizing/commitment is requested
Process
- Define the technology shift and why now.
- Assess whether the company can become a platform/network.
- Check builders, ecosystem, and adoption evidence.
- Separate durable tech power from temporary narrative.
Output Format
# a16z Techno-Optimist View: [Subject]
## Verdict
High-Conviction Tech Bet / Theme Watch / Too Early / Narrative Only / Pass
## Thesis
## Evidence
## Risks
## Action Plan
## Invalidation
## Missing Data
Guardrails
- Do not force conviction without evidence.
- Do not ignore incentives, structure, or liquidity/risk constraints.
- Separate facts, assumptions, and judgment.
- Do not present this as financial advice.
Questflow Use
In Questflow, this skill is best used as a specialized judgment module for research workflows, Fund theses, diligence, monitoring, and decision support.
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.
- 1mo ago First seen · 75 lines · 46 tokens per session scan A 557aa4fbaa0d
a16z-techno-optimist is a skill published in the GitHub repository questflowai/investorskills (1,887 stars, last pushed 2mo ago), licensed MIT. It adds 46 tokens to every session and 456 once invoked, about $0.0002 per session on Opus 5.5. 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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