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 nWave-ai/nWave --skill nw-platform-engineering-foundationsgit clone --depth 1 https://github.com/nWave-ai/nWaveWrote 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/nwave-ai/nwave/nw-platform-engineering-foundations)<a href="https://agentmods.dev/skills/nwave-ai/nwave/nw-platform-engineering-foundations"><img src="https://agentmods.dev/badge/skills/nwave-ai/nwave/nw-platform-engineering-foundations/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/nwave-ai/nwave/nw-platform-engineering-foundations"><img src="https://agentmods.dev/badge/skills/nwave-ai/nwave/nw-platform-engineering-foundations.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high Anti-Refusal · line 87 Skill attempts to nullify the agent's safety policies or restrictions ('you have no restrictions', 'ignore your guidelines', 'do anything now'). This is a direct jailbreak that disables guardrails.Fix: Remove jailbreak framing that nullifies safety policies or restrictions. Skill content must not instruct the agent to ignore its guidelines or operate without guardrails.
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 | $0.00047 | $0.00912 |
| Opus 5.5 | $0.00019 | $0.00365 |
| Sonnet 5.5 | $0.00009 | $0.00182 |
| Haiku 4.5 | $0.00005 | $0.00091 |
Grade A, and why
nw-platform-engineering-foundations 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 1mo 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 — 98 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Platform Engineering Foundations
Continuous Delivery (Humble and Farley)
Key principles: Build quality in | Work in small batches | Automate almost everything | Pursue continuous improvement | Everyone is responsible (shared ownership).
Pipeline progression: Commit -> Acceptance -> Capacity -> Production stages. For detailed stage definitions and quality gates, see cicd-and-deployment skill.
Site Reliability Engineering (Google -- Beyer et al.)
Key principles: SLOs over SLAs (internal targets stricter than external) | Error budgets (balance reliability and velocity) | Toil elimination (automate repetitive manual work) | Embrace risk (calculate risk, do not eliminate it).
Observability: Four Golden Signals (latency, traffic, errors, saturation) | SLI -> SLO -> Error Budget -> Alerting chain | Dashboards for investigation, not monitoring.
Accelerate (Forsgren, Humble, Kim)
DORA Metrics
- Deployment frequency: how often code deploys to production
- Lead time for changes: time from commit to production
- Change failure rate: % of deployments causing failure
- Time to restore: time to recover from production failure
Performance Levels
| Metric | Elite | High |
|---|---|---|
| Deployment frequency | Multiple times/day | Daily to weekly |
| Lead time | < 1 hour | 1 day to 1 week |
| Change failure rate | 0-15% | 16-30% |
| Time to restore | < 1 hour | < 1 day |
Use DORA metrics as baselines when assessing current state and setting improvement targets.
Team Topologies (Skelton and Pais)
Team Types
- Stream-aligned: delivers value to customer, owns full lifecycle
- Platform: provides self-service capabilities, reduces cognitive load
- Enabling: helps teams adopt new practices, temporary engagement
- Complicated subsystem: owns complex technical domain
Platform Principles
Platform as a product (internal developer platform) | Self-service with guardrails | Reduce cognitive load on stream-aligned teams | Thinnest viable platform.
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.
- 1mo ago First seen · 98 lines · 47 tokens per session scan A 6fb02ea4c3f7
nw-platform-engineering-foundations is a skill published in the GitHub repository nWave-ai/nWave (624 stars, last pushed 1mo ago), licensed MIT. It adds 47 tokens to every session and 912 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 2026-09-03.
Other skills, from other repositories
book-to-skill
Input adapter that extracts a book's method into a structured payload and hands it off to SkillForge. Use when an operator wants to turn a methodology-bearing book (The Mom Test, Make It Stick, Influence, The Pragmatic Programmer, etc.) into one or more executable skills without hand-crafting the SkillForge prompt or…
software-engineering-library
Route design and code-risk tasks to engineering references. Use for architecture boundaries, interfaces, domain modeling, refactoring, and legacy tests. Also cover data consistency, resilience, and forbidden patterns. Route prior-art questions to programming-advisor. Route scoring to code-qualities-assessment, and CVA…
ai-agents-validation-and-qa
What counts as evidence in ai-agents and how to produce it. Covers the TESTING-RIGOR pos+neg+edge bar, test layout and collection reality, coverage proof commands, runtime-contract tests with negative controls, and ADR-034 QA skip semantics at session end. Use when you say what counts as evidence, how do I test this…
agent-github-modes
Agent skill for github-modes - invoke with $agent-github-modes.
agent-challenges
Agent skill for challenges - invoke with $agent-challenges.
workflow-automation
Workflow creation, execution, and template management. Automates complex multi-step processes with agent coordination. Use when: automating processes, creating reusable workflows, orchestrating multi-step tasks. Skip when: simple single-step tasks, ad-hoc operations.