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 guoliang1114-boop/AriaAI --skill ai-strategy-reportgit clone --depth 1 https://github.com/guoliang1114-boop/AriaAIWrote 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/guoliang1114-boop/ariaai/ai-strategy-report)<a href="https://agentmods.dev/skills/guoliang1114-boop/ariaai/ai-strategy-report"><img src="https://agentmods.dev/badge/skills/guoliang1114-boop/ariaai/ai-strategy-report/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/guoliang1114-boop/ariaai/ai-strategy-report"><img src="https://agentmods.dev/badge/skills/guoliang1114-boop/ariaai/ai-strategy-report.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 | $0.00052 | $0.03314 |
| Opus 5 | $0.00026 | $0.01657 |
| Sonnet 5 | $0.00010 | $0.00663 |
| Haiku 4.5 | $0.00005 | $0.00331 |
Grade A, and why
ai-strategy-report 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 — 419 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AI Strategy Report
Overview
AI Strategy Report is a comprehensive strategic document that analyzes a company's AI readiness, identifies high-value use cases, and creates a practical implementation roadmap. This skill generates professional-grade PowerPoint presentations of 15+ slides using the KPMG consulting template for consistent, professional formatting.
Key Features:
- Complete strategic framework: 15-slide structure covering the full AI transformation journey
- Data-driven analysis: Digital maturity assessment and data readiness evaluation
- Prioritization matrix: 2×2 value-feasibility matrix for AI opportunities
- Implementation roadmap: 3-phase timeline (0-6m/6-18m/18-36m)
- Financial projections: Investment breakdown and ROI calculations
- Risk assessment: Technical, organizational, and compliance risks with mitigations
Output Format: PowerPoint (.pptx) with professional styling and structured content.
When to Use This Skill
This skill should be used when:
- Developing AI transformation strategy for enterprises
- Evaluating AI opportunities and prioritizing use cases
- Creating implementation roadmaps for digital transformation
- Building business cases for AI investments
- Assessing organizational readiness for AI adoption
- Planning talent and capability building for AI teams
- Preparing board-level presentations on AI strategy
- Supporting M&A due diligence for AI capabilities
- Planning cloud migration and data infrastructure
- Creating vendor selection criteria for AI platforms
Report Structure (15 Slides)
Slide 1: Cover Page
Slide 2: Executive Summary
Slide 3-4: Current State Assessment
Slide 5-6: AI Opportunity Map (2×2 Matrix)
Slide 7-9: Top 3 Use Cases Deep Dive
Slide 10-11: Implementation Roadmap (3 Phases)
Slide 12: Investment & ROI Analysis
Slide 13: Organizational Capabilities
Slide 14: Risk Assessment & Mitigation
Slide 15: Next Steps & Action Items
Input Requirements
Required Information
What ships with it
6 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.
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 · 419 lines · 52 tokens per session scan A 9fbb3fb0acbf
ai-strategy-report is a skill published in the GitHub repository guoliang1114-boop/AriaAI (37 stars, last pushed today), licensed MIT. It adds 52 tokens to every session and 3,314 once invoked, about $0.0003 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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