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 suntay44/web-to-mobile-magic-plugin --skill mobile-deep-reviewgit clone --depth 1 https://github.com/suntay44/web-to-mobile-magic-pluginWrote 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/suntay44/web-to-mobile-magic-plugin/mobile-deep-review)<a href="https://agentmods.dev/skills/suntay44/web-to-mobile-magic-plugin/mobile-deep-review"><img src="https://agentmods.dev/badge/skills/suntay44/web-to-mobile-magic-plugin/mobile-deep-review/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/suntay44/web-to-mobile-magic-plugin/mobile-deep-review"><img src="https://agentmods.dev/badge/skills/suntay44/web-to-mobile-magic-plugin/mobile-deep-review.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 | $0.00046 | $0.00612 |
| Opus 5 | $0.00023 | $0.00306 |
| Sonnet 5 | $0.00009 | $0.00122 |
| Haiku 4.5 | $0.00005 | $0.00061 |
Grade A, and why
mobile-deep-review 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 10d 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 — 62 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Mobile Deep Review
Perform a senior-level analysis of a mobile app codebase.
Token Rule
Use the audit script JSON to identify which files to read. Read at most 15% of source files scanned, capped at 15 files. Do not scan the full codebase blindly.
Steps
1. Audit script
node <mobile-app-audit-skill-dir>/scripts/mobile-app-audit.mjs <target-path>
Resolve <mobile-app-audit-skill-dir> from the installed sibling
../mobile-app-audit skill directory, not from the user's working directory.
Use the JSON to identify: framework, partial/broken screens, nav structure,
auth, state, storage, test coverage, build config, and completion risks.
2. Targeted file reads
Based on the JSON, prioritize reads in this order — stop at the file cap:
- App entry point and navigation config.
- All broken screens (highest priority).
- 2–3 screens flagged as partial.
- API client or data fetching layer.
- Auth module and session handling.
- State management store.
- Any file with the highest incomplete marker count.
3. Analyze across six dimensions
Tag each finding with an ID ([F01], [F02], …) and severity — Critical / High / Medium / Low:
- Architecture: folder structure, separation of concerns, component design.
- Code Quality: naming, DRY violations, dead code, complexity.
- Robustness: error handling, null safety, edge cases, loading/empty/error states.
- Performance: FlatList vs ScrollView on large lists, inline style objects recreated on render, missing
useCallback/useMemo, heavy work on the JS thread, unoptimized assets. - Security: hardcoded secrets, insecure AsyncStorage for tokens, exposed API keys, unsafe navigation params (object injection), deep link hijacking risk, debug flags left enabled.
- What's Unfinished: incomplete screens, missing flows, deferred features, broken screens.
4. Write the Deep Review Report
Create docs/mobile-review/YYYY-MM-DD-deep-review.md with:
- Summary: app name, framework, file cap used, files reviewed, date.
- One section per dimension above with tagged findings.
- Each finding:
[FXX]ID, severity, file path and line, description, suggested fix. - Priority List: top 5 actions ranked by impact, referencing finding IDs.
- Verdict:
Production-Ready/Needs Refactor/Rewrite Recommended.
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.
- 10d ago First seen · 62 lines · 46 tokens per session scan A 0ad6f5e28760
mobile-deep-review is a skill published in the GitHub repository suntay44/web-to-mobile-magic-plugin (106 stars, last pushed 2d ago), licensed MIT. It adds 46 tokens to every session and 612 once invoked, about $0.0002 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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