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-infrastructuregit 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-infrastructure)<a href="https://agentmods.dev/skills/liqiongyu/lenny_skills_plus/platform-infrastructure"><img src="https://agentmods.dev/badge/skills/liqiongyu/lenny_skills_plus/platform-infrastructure/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-infrastructure"><img src="https://agentmods.dev/badge/skills/liqiongyu/lenny_skills_plus/platform-infrastructure.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 | $0.00021 | $0.02138 |
| Opus 5 | $0.00010 | $0.01069 |
| Sonnet 5 | $0.00004 | $0.00428 |
| Haiku 4.5 | $0.00002 | $0.00214 |
Grade A, and why
platform-infrastructure 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 — 139 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Platform & Infrastructure
Scope
Covers
- Platform engineering / “paved roads”: shared capabilities that multiple product teams reuse
- Infrastructure quality attributes: reliability, performance, privacy/safety, operability, cost
- Scalability planning: capacity limits, leading indicators, “doomsday clock” triggers, sequencing
- Instrumentation strategy: server-side event tracking, data quality, observability gaps
- Discoverability architecture for web platforms (optional): sitemap + internal linking
When to use
- “Create a platform infrastructure plan to increase feature velocity without repeating work.”
- “Turn reliability/performance/privacy goals into concrete SLOs and an execution roadmap.”
- “We’re approaching scaling limits—define triggers and the next infra projects.”
- “Our analytics is messy—design a server-side tracking plan and event contract.”
- “For a large web property, define sitemap + internal-linking requirements for crawlability.”
When NOT to use
- You are handling an active incident or outage (use incident response/runbooks first).
- You only need a single localized perf fix or refactor (just do the work).
- You need product strategy/positioning for a platform-as-product (use
platform-strategy). - You need a full feature spec or UX flows (use
writing-specs-designs/writing-prds). - SEO/content strategy is the primary workstream (use
content-marketing). - You need to sequence a broader technical roadmap across multiple teams (use
technical-roadmaps). - You want to pay down tech debt without building new shared capabilities (use
managing-tech-debt). - You want to improve engineering practices, rituals, or team culture (use
engineering-culture).
Inputs
Minimum required
- System boundary (services/apps) + primary users/customers
- Current pains (pick 1–3): reliability, performance, cost, privacy/security/compliance, developer velocity, data quality/analytics, SEO/discoverability
- Current architecture constraints (data stores, runtime, deployment model, key dependencies)
- Scale + trajectory (rough): current usage + expected growth + known upcoming spikes
- Constraints: deadlines, staffing/capacity, risk tolerance, compliance/privacy requirements
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 1.7 KB
- eval/SHOWCASE.md 6.0 KB
- eval/with_skill.md 37 KB
- eval/without_skill.md 20 KB
- README.md 959 B
- references/CHECKLISTS.md 2.0 KB
- references/EXAMPLES.md 708 B
- references/INTAKE.md 2.6 KB
- references/RUBRIC.md 4.0 KB
- references/SOURCE_SUMMARY.md 1.8 KB
- references/TEMPLATES.md 3.3 KB
- references/WORKFLOW.md 2.4 KB
- skillpack.json 386 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 · 139 lines · 21 tokens per session scan A 7899c4164fe1
platform-infrastructure is a skill published in the GitHub repository liqiongyu/lenny_skills_plus (52 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 21 tokens to every session and 2,138 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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