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 simbajigege/book2skills --skill investing-from-darwingit clone --depth 1 https://github.com/simbajigege/book2skillsWrote 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/simbajigege/book2skills/investing-from-darwin)<a href="https://agentmods.dev/skills/simbajigege/book2skills/investing-from-darwin"><img src="https://agentmods.dev/badge/skills/simbajigege/book2skills/investing-from-darwin/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/simbajigege/book2skills/investing-from-darwin"><img src="https://agentmods.dev/badge/skills/simbajigege/book2skills/investing-from-darwin.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 | $0.00033 | $0.01942 |
| Opus 5 | $0.00016 | $0.00971 |
| Sonnet 5 | $0.00007 | $0.00388 |
| Haiku 4.5 | $0.00003 | $0.00194 |
Grade A, and why
investing-from-darwin 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 — 212 lines — stays where its author put it; the contents beside it link to each section on GitHub.
What I Learned About Investing from Darwin — Evolutionary Investing Skill
Knowledge source: What I Learned About Investing from Darwin by Pulak Prasad.
Overview
Use this skill to evaluate investments through evolutionary survival logic: avoid big risks, buy high-quality resilient businesses at fair prices, and stay very patient. It supports investors who want to avoid permanent capital loss, resist over-trading, and prefer robustness over fragile forecasting.
When to Use This Skill
Use this skill when the user asks:
- "Is this business resilient enough to own?"
- "What big risks could permanently hurt this investment?"
- "Is this cheap stock a trap?"
- "Should I rely on this DCF?"
- "How patient should I be?"
- "How would Darwin-inspired investing judge this company?"
Core Principle
Investment survival comes before investment brilliance. Like evolution, investing rewards robustness, adaptation, and patience more reliably than precision forecasts, frequent action, or bargain-hunting in fragile businesses.
Workflow Inventory
| Workflow | User question pattern | Inputs | Steps | Output | Independent trigger? | Distinct references? | Triage score | Should be subskill? | Reason |
|---|---|---|---|---|---|---|---|---|---|
| Big-risk screen | "What could kill this investment?" | Business model, debt, disruption, governance, valuation | Identify permanent-loss scenarios | Avoid/continue risk verdict | Yes | Yes | 3 | No | First rule of the same investing framework. |
| Quality-at-fair-price review | "Is this a quality company?" | Moat, returns, industry, price, scenarios | Test resilience, causation, robustness | Quality verdict | Yes | Yes | 3 | No | Must follow risk screen. |
| Forecast skepticism | "Does this DCF justify buying?" | Model assumptions, horizon, uncertainty | Stress precision and replay-the-tape fragility | Forecast reliability rating | Yes | Yes | 3 | No | Same robustness lens. |
| Very-lazy holding policy | "Should I trade or wait?" | Current holding, thesis, new data, opportunity set | Check rare-opportunity threshold | Hold/wait/act rule | Yes | Yes | 3 | No | Same three-rule framework. |
What ships with it
4 files 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 · 212 lines · 33 tokens per session scan A e157246f5b89
investing-from-darwin is a skill published in the GitHub repository simbajigege/book2skills (163 stars, last pushed 17d ago), licensed MIT. It adds 33 tokens to every session and 1,942 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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