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 jeffreytse/grimoire-core --skill apply-moonshot-technology-investinggit clone --depth 1 https://github.com/jeffreytse/grimoire-coreWrote 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/jeffreytse/grimoire-core/apply-moonshot-technology-investing)<a href="https://agentmods.dev/skills/jeffreytse/grimoire-core/apply-moonshot-technology-investing"><img src="https://agentmods.dev/badge/skills/jeffreytse/grimoire-core/apply-moonshot-technology-investing/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/jeffreytse/grimoire-core/apply-moonshot-technology-investing"><img src="https://agentmods.dev/badge/skills/jeffreytse/grimoire-core/apply-moonshot-technology-investing.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00062 | $0.01424 |
| Opus 5 | $0.00031 | $0.00712 |
| Sonnet 5 | $0.00012 | $0.00285 |
| Haiku 4.5 | $0.00006 | $0.00142 |
Grade A, and why
apply-moonshot-technology-investing 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 8d 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 — 68 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Apply Moonshot Technology Investing
Accept a substantially higher individual-investment failure rate than standard venture investing when pursuing technically ambitious, breakthrough technology bets — in exchange for the possibility of a genuinely transformative, category-defining outcome that most investors wouldn't accept the underlying technical risk to pursue at all.
Why This Is Best Practice
Adopted by: Vinod Khosla, founder of Khosla Ventures, has built a documented investment career specifically around backing technically ambitious "moonshot" bets — particularly in clean energy and agricultural technology — with a publicly stated willingness to accept a much higher individual-investment failure rate than conventional venture investing typically tolerates, explicitly reasoning that the technology risk most investors avoid is precisely where the largest, least-competed-for opportunities exist. Impact: Khosla's publicly documented approach specifically argues that a portfolio explicitly built to tolerate an unusually high failure rate — accepting that many individual moonshot bets will fail outright due to genuine technical infeasibility — can still produce attractive overall returns if even a small number of the technically ambitious bets succeed at transformative scale, since breakthrough technology that succeeds tends to create disproportionately large, category-defining value precisely because fewer investors were willing to take on the technical risk required to fund it. Why best: Most venture capital avoids genuinely uncertain technical risk (whether a specific breakthrough technology will actually work at all, not just whether a proven technology will find a market) in favor of technology risk that's already been substantially de-risked — this leaves technically ambitious opportunities under-funded and under-competed for, specifically because most investors aren't willing to accept the higher failure rate genuine technical uncertainty requires, creating an opportunity for investors deliberately willing to accept that risk.
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.
- 8d ago First seen · 68 lines · 62 tokens per session scan A 3c27bb6739fb
apply-moonshot-technology-investing is a skill published in the GitHub repository jeffreytse/grimoire-core (4 stars, last pushed 23d ago), licensed MIT. It adds 62 tokens to every session and 1,424 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 2026-09-03.
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