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-decision-speed-advantagegit 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-decision-speed-advantage)<a href="https://agentmods.dev/skills/jeffreytse/grimoire-core/apply-decision-speed-advantage"><img src="https://agentmods.dev/badge/skills/jeffreytse/grimoire-core/apply-decision-speed-advantage/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-decision-speed-advantage"><img src="https://agentmods.dev/badge/skills/jeffreytse/grimoire-core/apply-decision-speed-advantage.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 | $0.00066 | $0.01340 |
| Opus 5 | $0.00033 | $0.00670 |
| Sonnet 5 | $0.00013 | $0.00268 |
| Haiku 4.5 | $0.00007 | $0.00134 |
Grade A, and why
apply-decision-speed-advantage 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 — 68 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Apply Decision-Speed Advantage
Compress the investment decision-making cycle to move faster than competing investors when pursuing a sought-after venture deal — since in a genuinely competitive fundraising process, the founder frequently has the option to choose among several willing investors, and the speed of a firm's decision itself becomes a decisive factor in winning the allocation, separate from valuation or terms offered.
Why This Is Best Practice
Adopted by: Neil Shen (沈南鹏), founder of Sequoia Capital China (now HongShan), is documented for the firm's rapid decision-making cycle in competitive venture deals, a structural approach credited with the firm's ability to win allocation in numerous highly sought-after deals where multiple investors competed for the opportunity. Impact: In a competitive fundraising round, a founder with multiple interested, credible investors to choose from often prioritizes speed and certainty of close alongside terms — a slower decision process, however thorough, risks losing the allocation entirely to a faster-moving competing investor, regardless of how favorable the slower firm's eventual terms would have been. Why best: A more extended, cautious diligence process can reduce individual-deal risk, but in a genuinely competitive process it introduces the separate, often larger risk of losing access to the opportunity altogether — prioritizing decision speed for deals where competitive dynamics are present specifically manages this access risk, which a purely diligence-thoroughness-focused approach doesn't account for.
Sources: Documented account of Neil Shen and Sequoia Capital China/HongShan's rapid decision-making approach in competitive venture deals
Steps
Step 1: Recognize when a deal is genuinely competitive
Assess whether a specific opportunity is genuinely competitive — multiple credible investors actively pursuing the same allocation — since the value of decision speed is highest specifically in this competitive context, not in a deal where the firm faces no meaningful competing bidder.
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 · 68 lines · 66 tokens per session scan A 1d3d5da3f564
apply-decision-speed-advantage is a skill published in the GitHub repository jeffreytse/grimoire-core (4 stars, last pushed 24d ago), licensed MIT. It adds 66 tokens to every session and 1,340 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 2026-08-31.
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