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 AmazonAppDev/devices-agent-skills --skill vega-multi-tv-migrationgit clone --depth 1 https://github.com/AmazonAppDev/devices-agent-skillsWrote 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/amazonappdev/devices-agent-skills/vega-multi-tv-migration)<a href="https://agentmods.dev/skills/amazonappdev/devices-agent-skills/vega-multi-tv-migration"><img src="https://agentmods.dev/badge/skills/amazonappdev/devices-agent-skills/vega-multi-tv-migration/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/amazonappdev/devices-agent-skills/vega-multi-tv-migration"><img src="https://agentmods.dev/badge/skills/amazonappdev/devices-agent-skills/vega-multi-tv-migration.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- Socket pass
- Snyk 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 | $0.00064 | $0.01211 |
| Opus 5 | $0.00032 | $0.00606 |
| Sonnet 5 | $0.00013 | $0.00242 |
| Haiku 4.5 | $0.00006 | $0.00121 |
Grade A, and why
vega-multi-tv-migration 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 8d 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 — 131 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Vega Multi-Platform Migration
Overview
Migrate Vega OS (Fire TV) apps to multi-platform React Native monorepo with 70-85% code reuse across Android TV, Apple TV, and Vega OS.
When to Apply
Use this skill when user mentions:
- Migrating Vega/Fire TV app to other platforms
- Building multi-platform TV application
- Converting single-platform TV app to monorepo
- Adding Android TV or Apple TV support
- Sharing code between TV platforms
- Setting up Yarn workspaces for TV apps
Phase Priority Guide
| Priority | Phase | Impact | When to Use |
|---|---|---|---|
| 1 | Analysis | CRITICAL | Starting migration, no existing analysis |
| 2 | Implementation | CRITICAL | Have analysis, need monorepo structure |
| 3 | Platform Support | HIGH | Have working Vega monorepo, adding platforms |
| 4 | Configuration | MEDIUM | Troubleshooting build/resolution issues |
Quick Decision Tree
User has existing Vega app?
├─ YES → Do they have migration analysis?
│ ├─ NO → Start Phase 1 (Analysis)
│ └─ YES → Is monorepo set up?
│ ├─ NO → Start Phase 2 (Implementation)
│ └─ YES → Start Phase 3 (Platform Support)
└─ NO → Starting from scratch?
└─ YES → Skip Phase 1, start Phase 2 with new project
Quick Reference
Critical: Project Structure
# Verify monorepo structure exists
ls -la packages/shared packages/vega packages/expotv
# Check Yarn workspaces configured
grep -A5 "workspaces:" package.json
Critical: Dependency Classification
Common patterns for analysis:
- Shared: Business logic, UI components, utilities, state management
- Platform-specific: Navigation, video players, DRM, native modules
- VMRP-compatible: Standard RN libraries that map to Vega equivalents
High: VMRP Configuration
Quick check if VMRP is working:
# Should see @vega-tv/react-native-module-resolver-preset
grep "vmrp" packages/vega/babel.config.js
References
Phase 1: Analysis (analysis-*)
| File | Impact | Description |
|---|---|---|
| PHASE1_ANALYSIS.md | CRITICAL | Codebase analysis, dependency classification, migration planning |
What ships with it
15 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.
- assets/templates/expotv-app.json 457 B
- assets/templates/expotv-app.json.md 814 B
- assets/templates/expotv-metro.config.js 948 B runs code
- assets/templates/expotv-package.json 712 B
- assets/templates/expotv-package.json.md 746 B
- assets/templates/root-package.json 935 B
- assets/templates/root-tsconfig.json 340 B
- assets/templates/shared-package.json 185 B
- assets/templates/VALIDATION_CHECKLIST.md 5.0 KB
- assets/templates/vega-metro.config.js 675 B runs code
- assets/templates/yarnrc.yml 287 B
- LICENSE 1.0 KB
- references/PHASE1_ANALYSIS.md 9.8 KB
- references/PHASE2_IMPLEMENTATION.md 14 KB
- references/PHASE3_PLATFORM_SUPPORT.md 8.5 KB
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.
- 8d ago First seen · 131 lines · 64 tokens per session scan A 2944ee4f684c
vega-multi-tv-migration is a skill published in the GitHub repository AmazonAppDev/devices-agent-skills (4 stars, last pushed 2mo ago), licensed MIT. It adds 64 tokens to every session and 1,211 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 2026-08-31.
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