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 serenitygit 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/serenity)<a href="https://agentmods.dev/skills/questflowai/investorskills/serenity"><img src="https://agentmods.dev/badge/skills/questflowai/investorskills/serenity/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/serenity"><img src="https://agentmods.dev/badge/skills/questflowai/investorskills/serenity.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 82 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00052 | $0.00890 |
| Opus 5 | $0.00026 | $0.00445 |
| Sonnet 5 | $0.00010 | $0.00178 |
| Haiku 4.5 | $0.00005 | $0.00089 |
Grade A, and why
serenity 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 10d 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 — 87 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Serenity Supply-Chain Chokepoints
Use this skill to apply Serenity / @aleabitoreddit style research: reverse-map an AI, semiconductor, photonics, power, neocloud, or hardware theme into its upstream supply-chain bottlenecks, then look for obscure public companies whose importance is underpriced before institutions rotate in.
When To Use
Use this skill when the user asks for:
- AI/semiconductor supply-chain analysis
- Photonics, CPO, optical transceiver, InP, SiPh, memory, power/grid, rare-earth, robotics, or neocloud themes
- Whether a small-cap stock is a real bottleneck or just a meme
- A Serenity-style read on tickers like AXTI, SIVE, AAOI, LITE, COHR, MRVL, AVGO, MU, SNDK, NBIS, IREN, CRWV, MP, RPI, AEHR
- Institutional rotation analysis across AI infrastructure supply chains
Trigger phrases include Serenity, @aleabitoreddit, bottleneck, chokepoint, AI supply chain, photonics, CPO, InP, AXTI, SIVE, AAOI, neocloud, and AI hardware.
Do Not Use When
- The request is mainly crypto narrative or memecoin flow. Use
ansem-cryptoinstead. - The company has no plausible upstream supply-chain role.
- The thesis is only social hype with no technical, customer, or revenue validation path.
- Current filings, dilution, liquidity, or balance-sheet data are unavailable.
- The user wants blind copy-trading of Serenity's posts.
Inputs Needed
- Ticker, theme, or supply-chain node
- Product role, customers, suppliers, and technical dependency
- Market cap, revenue, margin, cash, debt, dilution/ATM/SBC risk
- Recent filings, earnings, customer wins, qualification orders, or capex guidance
- Price action, liquidity, volatility, and current valuation
- Whether Serenity has publicly covered the name, if known
Process
- Start from downstream demand: hyperscaler capex, GPU/ASIC buildout, CPO, memory, power, robotics, or neocloud.
- Reverse-map the bill of materials and supply chain upstream.
- Identify chokepoints: single-vendor, duopoly, scarce material, qualification bottleneck, or capacity constraint.
- Compare chokepoint importance to market cap, revenue ramp, and valuation.
- Check validation: contracts, earnings, customer qualification, industry commentary, capex commitments, or M&A logic.
- Penalize dilution, ATM filings, SBC, poor financing quality, and weak balance sheets.
- Separate article-level thesis, reply-level idea, no-position idea, and stale post.
- Produce a bull case, bear case, invalidation, and position-risk warning.
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.
- 10d ago First seen · 87 lines · 52 tokens per session scan A 23870fc15243
serenity is a skill published in the GitHub repository questflowai/investorskills (1,845 stars, last pushed 18d ago), licensed MIT. It adds 52 tokens to every session and 890 once invoked, about $0.0003 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
t-invest
A command-line connection to a user’s T-Invest brokerage account, providing portfolio data, market information, calculations, and explicitly requested trades.
serenity-chokepoint-investing
Analyze public equities and sectors using the Serenity-style AI supply-chain chokepoint investing framework. Best for AI infrastructure, semiconductors, optical communications, data center power, storage, cooling, robotics, and industrial supply-chain bottleneck research.
thai-personal-finance-planner
Personal financial planner for Thailand-based users. Use this skill when the user asks for help with budgeting, tax planning involving Thai-specific products (SSF, RMF, Thai ESG, Thai ESGX, Easy E-Receipt), debt strategy at Thai bank rates, retirement planning involving ประกันสังคม (มาตรา 33/39/40), กบข., PVD…
stock-liquidity
Analyze stock liquidity using bid-ask spreads, volume profiles, order book depth, market impact estimates, and turnover ratios via Yahoo Finance data. Use this skill whenever the user asks about liquidity, trading costs, bid-ask spread, market depth, volume analysis, slippage, market impact, turnover ratio, or how…
company-valuation
Estimate the intrinsic value of a public company using DCF, relative (peer multiple) and sum-of-parts (SOTP) methods, then triangulate to an implied share price with upside/downside versus the current market price. Use this skill whenever the user asks: "what is AAPL worth", "valuation of NVDA", "fair value of TSLA"…
fintel-data
Query Fintel (fintel.io) institutional market intelligence via the REST API at https://api.fintel.io/v1 with FINTELAPIKEY (X-API-KEY header), or the official MCP server at https://mcp.fintel.io/mcp. Read-only data: short interest, borrow rate/fee and shares available to borrow, daily short volume, fails-to-deliver…