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-divio-frameworkgit 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-divio-framework)<a href="https://agentmods.dev/skills/nwave-ai/nwave/nw-divio-framework"><img src="https://agentmods.dev/badge/skills/nwave-ai/nwave/nw-divio-framework/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-divio-framework"><img src="https://agentmods.dev/badge/skills/nwave-ai/nwave/nw-divio-framework.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00028 | $0.01633 |
| Opus 5.5 | $0.00011 | $0.00653 |
| Sonnet 5.5 | $0.00006 | $0.00327 |
| Haiku 4.5 | $0.00003 | $0.00163 |
Grade A, and why
nw-divio-framework 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 2mo 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 — 137 lines — stays where its author put it; the contents beside it link to each section on GitHub.
DIVIO Documentation Framework
The Four Quadrants
Exactly four documentation types. Each serves one purpose. Never mix.
Tutorial
Orientation: Learning | Need: "Teach me" | Key Q: Can newcomer follow without external context? Purpose: enable first success | Assumption: user knows nothing | Format: step-by-step guided experience Success: gains competence + confidence | Include: safe repeatable steps, immediate feedback, building blocks Exclude: problem-solving, assumed knowledge, comprehensive coverage
How-to Guide
Orientation: Task | Need: "Help me do X" | Key Q: Achieves specific, measurable outcome? Purpose: accomplish specific objective | Assumption: baseline knowledge, needs goal completion Format: focused steps to outcome | Success: task completed Include: clear goal, actionable steps, completion indicator | Exclude: teaching, background, all scenarios
Reference
Orientation: Information | Need: "What is X?" | Key Q: Factually complete and lookup-ready? Purpose: accurate lookup | Assumption: user knows what to look for | Format: structured, concise, factual Success: finds correct info quickly | Include: complete API/function details, parameters, returns, errors Exclude: narrative, tutorials, opinions
Explanation
Orientation: Understanding | Need: "Why is X?" | Key Q: Explains reasoning and context? Purpose: conceptual understanding | Assumption: user wants "why" | Format: discursive, reasoning-focused Success: understands design rationale | Include: context, reasoning, alternatives, architectural decisions Exclude: step-by-step, API details, task completion
Classification Matrix
PRACTICAL THEORETICAL
STUDYING: Tutorial Explanation
WORKING: How-to Guide Reference
Adjacent: Tutorial/How-to (both have steps, differ in assumed knowledge) | How-to/Reference (both "at work") | Reference/Explanation (both knowledge depth) | Explanation/Tutorial (both "studying")
Classification Decision Tree
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.
- 2mo ago First seen · 137 lines · 28 tokens per session scan A 38e1443f22f8
nw-divio-framework is a skill published in the GitHub repository nWave-ai/nWave (631 stars, last pushed yesterday), licensed MIT. It adds 28 tokens to every session and 1,633 once invoked, about $0.0001 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.
nw-divio-framework compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| nw-divio-frameworknWave-ai/nWave | Skill | 631 | yesterday | MIT | A | 28 | Claude Code |
| founder-coachalirezarezvani/claude-skills | Skill | 29k | yesterday | MIT | A | 41 | Claude Code |
| story-developmenta5c-ai/babysitter | Skill | 1.9k | 5d ago | MIT | A | 0 | Claude Code, Codex |
| foundations-consumer-neurosciencevasilyu1983/AI-Agents-public | Skill | 101 | 21d ago | MIT | A | 48 | Claude Code, Codex |
| rudderRudderCode/Rudder | Skill | 24 | 25d ago | Apache-2.0 | A | 101 | Claude Code, Codex |
| test-first-executorstrikersam/autonomous-ai-agency | Skill | 11 | yesterday | MIT | A | 29 | Claude Code, Codex |
| ai-safe2-development-methodCyberStrategyInstitute/ai-safe2-framework | Skill | 156 | 3d ago | none | A | 92 | Codex |