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 stevembarclay/pencilplaybook --skill best-in-world-strategygit clone --depth 1 https://github.com/stevembarclay/pencilplaybookWrote 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/stevembarclay/pencilplaybook/best-in-world-strategy)<a href="https://agentmods.dev/skills/stevembarclay/pencilplaybook/best-in-world-strategy"><img src="https://agentmods.dev/badge/skills/stevembarclay/pencilplaybook/best-in-world-strategy/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/stevembarclay/pencilplaybook/best-in-world-strategy"><img src="https://agentmods.dev/badge/skills/stevembarclay/pencilplaybook/best-in-world-strategy.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 | $0.00096 | $0.01463 |
| Opus 5 | $0.00048 | $0.00732 |
| Sonnet 5 | $0.00019 | $0.00293 |
| Haiku 4.5 | $0.00010 | $0.00146 |
Grade A, and why
best-in-world-strategy 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 — 243 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Best-In-World Strategy
Set an excellence baseline first. Adapt intentionally second.
Modes
Use Speed mode by default. Reserve Full mode for explicitly high-stakes or complex decisions.
Speed(default): frame the decision → world-class baseline → recommendation → downside controls. Rigorous but concise. No options scoring, no red-team unless the stakes clearly warrant it.Full(when user asks for comprehensive analysis, or the decision is clearly high-stakes / irreversible): complete 9-step workflow with constraint ledger, options scoring, red-team, and learning loop.Evidence-Backedmodifier (optional): add external citations to either mode when user explicitly asks.
Switch to Risk-Acceptance Override when user states willingness to accept risk and move quickly — drops options scoring, keeps assumptions + failure modes + downside controls.
Workflow
- Frame the decision.
- Write one decision sentence.
- Capture decision type:
architecture,security/risk,product,go-to-market,operations,org/talent,capital/finance. - Capture objective, owner, time horizon, and success metric.
- Build a constraint ledger.
- Separate
hard constraintsfromsoft constraints. - Record budget, timeline, legal, staffing, and political constraints.
- Set the best-in-world baseline.
- Identify 2-4 expert archetypes relevant to the decision.
- For each archetype, output:
principleexpected benefitcost/complexityconfidence
- Mark each item as
non-negotiableoradaptable.
- Apply first principles.
- Separate
facts,assumptions, andconventions. - State must-be-true conditions.
- Isolate the smallest causal drivers.
- Run red-team pressure testing.
- Ask hard skeptical questions.
- Surface first-order and second-order failure modes.
- Define one disconfirming test.
- Generate options.
- Option A: world-class ideal.
- Option B: pragmatic high-confidence.
- Option C: minimum viable risk-controlled.
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.
- 12d ago First seen · 243 lines · 96 tokens per session scan A d2717800ebdc
best-in-world-strategy is a skill published in the GitHub repository stevembarclay/pencilplaybook (49 stars, last pushed 5mo ago), licensed MIT. It adds 96 tokens to every session and 1,463 once invoked, about $0.0005 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
ai-image-frontend-ui
A workflow for creating frontend user-interface visuals with AI, from visual reference and real materials to generated code, browser screenshots, and visual comparison. It focuses on layouts, typography, exact text, interface states, and avoiding invented content.
superdesign
Design or redesign frontend UI, presentations, and graphics on the Superdesign canvas with a choice of leading AI models. Use whenever the user wants to design a page, feature, flow, slide deck, or brand-new product; improve or reproduce existing UI; compare design results across top models; explore visual variants…
paint
Paint a complete visual universe with genjutsu - art direction brainstorm, design system, implementation, audit. Anti-AI-slop design pipeline. Adapts to Web, Android (Compose), Apple (SwiftUI).
web-design
A web design workflow for turning a brief, reference website, screenshot, or keywords into a design specification and then web code. It covers visual style, page structure, interaction, responsive layouts, and motion.
hue
Meta-skill that generates new design language skills. Works on Claude Code and Codex. Use when the user says 'create a design skill', 'generate design language', 'new design system skill', 'design skill inspired by X', 'design skill from this screenshot', '/hue', or 'use hue'. Also triggers for 'remix my design skill'…
design-with-claude
Use when design work needs a product designer's eye: auditing a codebase for design-system gaps, fixing WCAG contrast and unlabeled inputs, choosing type scales or spacing steps, reviewing UI that looks generic or AI-generated, or designing forms, tables, dashboards, navigation, checkout, onboarding, dark mode, and…