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 liqiongyu/lenny_skills_plus --skill platform-strategygit clone --depth 1 https://github.com/liqiongyu/lenny_skills_plusWrote 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/liqiongyu/lenny_skills_plus/platform-strategy)<a href="https://agentmods.dev/skills/liqiongyu/lenny_skills_plus/platform-strategy"><img src="https://agentmods.dev/badge/skills/liqiongyu/lenny_skills_plus/platform-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/liqiongyu/lenny_skills_plus/platform-strategy"><img src="https://agentmods.dev/badge/skills/liqiongyu/lenny_skills_plus/platform-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 | $0.00023 | $0.02368 |
| Opus 5 | $0.00012 | $0.01184 |
| Sonnet 5 | $0.00005 | $0.00474 |
| Haiku 4.5 | $0.00002 | $0.00237 |
Grade A, and why
platform-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 11d 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 — 138 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Platform Strategy
Scope
Covers
- Internal platforms (paved roads, shared infrastructure/services) treated as products
- External/hybrid platforms (APIs, extensions, partners) and ecosystem strategy
- Platform lifecycle strategy (when to open vs when to close for control/monetization)
- Platform surface-area design (interfaces, abstractions, governance) to reduce cognitive load for product teams
- AI platform defensibility (context repositories + integrated “toolkit” experiences) when relevant
When to use
- “Create a platform strategy for our developer platform / API.”
- “Turn our internal platform into a product with clear users, metrics, and roadmap.”
- “We want to open our platform to third parties—define incentives, governance, and a rollout.”
- “We’re building an AI platform—what’s the defensible system beyond a single feature?”
When NOT to use
- You don’t have a clear problem/job-to-be-done yet (use
problem-definitionfirst). - You primarily need a product/company strategy and portfolio plan (use
ai-product-strategy). - You’re selecting a vendor/tool rather than defining a platform strategy (use
evaluating-new-technology). - You need an implementation design/architecture doc (use
writing-specs-designsafter this). - You need infrastructure capacity planning, service mesh architecture, or deployment topology (use
platform-infrastructure). - You need a design system with component libraries and token governance (use
design-systems). - You need to set API pricing tiers or monetization models specifically (use
pricing-strategyafter this skill defines the platform shape).
Inputs
Minimum required
- Platform type: internal / external / hybrid (and who “the platform owner” is)
- Primary users/consumers (e.g., developers, data scientists, partners) and their top jobs-to-be-done
- Current state: what exists today (surfaces, APIs, services, docs), and what’s broken/painful
- Business intent: why now, desired outcomes (speed, reliability, revenue, ecosystem leverage), time horizon
- Constraints: security/privacy/compliance, SLOs, regions, budgets, resourcing, dependencies
- Decision context: who decides, what decisions are on the table (open/close, pricing, governance), target date
What ships with it
13 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.
- eval/eval_config.json 557 B
- eval/SHOWCASE.md 5.5 KB
- eval/with_skill.md 39 KB
- eval/without_skill.md 15 KB
- README.md 1.8 KB
- references/CHECKLISTS.md 2.4 KB
- references/EXAMPLES.md 1.8 KB
- references/INTAKE.md 2.4 KB
- references/RUBRIC.md 3.8 KB
- references/SOURCE_SUMMARY.md 2.1 KB
- references/TEMPLATES.md 3.9 KB
- references/WORKFLOW.md 3.2 KB
- skillpack.json 372 B
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.
- 11d ago First seen · 138 lines · 23 tokens per session scan A c52f34b74ef9
platform-strategy is a skill published in the GitHub repository liqiongyu/lenny_skills_plus (52 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 23 tokens to every session and 2,368 once invoked, about $0.0001 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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