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-hearts-and-mindsgit 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-hearts-and-minds)<a href="https://agentmods.dev/skills/jeffreytse/grimoire-core/apply-hearts-and-minds"><img src="https://agentmods.dev/badge/skills/jeffreytse/grimoire-core/apply-hearts-and-minds/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-hearts-and-minds"><img src="https://agentmods.dev/badge/skills/jeffreytse/grimoire-core/apply-hearts-and-minds.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 | $0.00045 | $0.03185 |
| Opus 5.5 | $0.00018 | $0.01274 |
| Sonnet 5.5 | $0.00009 | $0.00637 |
| Haiku 4.5 | $0.00005 | $0.00318 |
Grade A, and why
apply-hearts-and-minds 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 4d 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 — 133 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Apply Hearts and Minds
Win genuine voluntary commitment from a resistant counterpart by repeatedly demonstrating the logic of your position and releasing pressure — not by enforcing compliance — until the counterpart accepts your terms from conviction rather than coercion.
Why This Is Best Practice
Origin: In 225 AD, Zhuge Liang led Shu Han's army south to pacify the Nanman tribes, which had rebelled under their king Meng Huo. Zhuge Liang could have occupied and garrisoned the south by force, but his advisor Ma Su argued for a different approach: the southern region was remote, the tribes numerous and mobile, and garrison troops would be a permanent drain on Shu resources. Instead, Zhuge Liang captured Meng Huo six times, each time explaining clearly why the king's position was strategically untenable — and each time releasing him, allowing him to regroup and fight again. On the seventh capture, Meng Huo acknowledged the logic of Zhuge Liang's position and submitted voluntarily. Shu's southern border remained stable for the rest of Zhuge Liang's lifetime without requiring a permanent garrison — because the submission was genuine, not imposed.
Adopted by: The pattern appears in every domain where enforcement capacity exists but enforcement cost is prohibitive. Nelson Mandela's post-apartheid reconciliation strategy — the Truth and Reconciliation Commission — chose genuine accountability over punitive prosecution, creating a settlement that held without requiring indefinite enforcement. Satya Nadella's transformation of Microsoft culture after 2014 explicitly rejected forced compliance with new behaviours ("growth mindset") and instead created repeated demonstration moments — public acknowledgment of Microsoft's past failures, reversal of the "stack ranking" policy, genuine partnership with Linux — until engineers adopted the new culture from conviction. Open-source license enforcement through legal action (coercion) reliably produces fork and defection; the companies that built durable ecosystems (Red Hat, HashiCorp before its BSL shift) did so through genuine community service that made compliance natural.
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.
- 4d ago First seen · 133 lines · 45 tokens per session scan A d3b02930a03a
apply-hearts-and-minds is a skill published in the GitHub repository jeffreytse/grimoire-core (5 stars, last pushed 5d ago), licensed MIT. It adds 45 tokens to every session and 3,185 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 2026-10-17.
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