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 reatlat/fullstory-claude-plugin --skill mobile-analyzergit clone --depth 1 https://github.com/reatlat/fullstory-claude-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/reatlat/fullstory-claude-plugin/mobile-analyzer)<a href="https://agentmods.dev/skills/reatlat/fullstory-claude-plugin/mobile-analyzer"><img src="https://agentmods.dev/badge/skills/reatlat/fullstory-claude-plugin/mobile-analyzer/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/reatlat/fullstory-claude-plugin/mobile-analyzer"><img src="https://agentmods.dev/badge/skills/reatlat/fullstory-claude-plugin/mobile-analyzer.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 | $0.00043 | $0.01520 |
| Opus 5.5 | $0.00017 | $0.00608 |
| Sonnet 5.5 | $0.00009 | $0.00304 |
| Haiku 4.5 | $0.00004 | $0.00152 |
Grade A, and why
mobile-analyzer 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 7d 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 — 145 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Mobile Analyzer
Deep-dive into mobile user experience — touch events, viewport issues, responsive design bugs, and mobile-specific conversion patterns.
When to Use
- "How does our mobile experience compare to desktop?"
- "Are mobile users having trouble with the checkout flow?"
- "Find sessions where mobile users encountered viewport issues"
- "Is the new responsive design working on tablets?"
- "What percentage of rage clicks happen on mobile vs desktop?"
- "Show me mobile sessions where users pinch-zoomed repeatedly"
Mental Model
Mobile users are different from desktop users:
- Input: Touch targets, swipe gestures, virtual keyboard
- Viewport: Smaller screen, variable sizes, landscape/portrait
- Context: On-the-go, distracted, slower connections
- Expectations: Faster, simpler, thumb-friendly
A design that works on desktop can fail catastrophically on mobile — elements overlapping, touch targets too small, keyboard covering form fields, horizontal scroll appearing.
For visual checks, follow session-review: open with fullstory:review-open, pass its client_id to fullstory:review-snapshot at the target timestamp, and always call fullstory:review-close, including on errors. Delegate repeated captures to session-replay.
Use free fullstory:discover_groups and fullstory:get_opportunity_stats for live signals. Discovery accepts one scope at a time (page_id, domain, app_name, segment_id, or funnel_id); use a segment for device/user filters and the live schema for time ranges. Use computed metrics for exact custom windows.
Workflow
Step 1: Quantify mobile vs desktop
Start with the split:
fullstory:build_metric(
query="sessions by device type",
output_type="top_n"
)
→ "68% desktop, 28% mobile, 4% tablet"
Then compare key metrics across devices:
fullstory:build_metric(query="checkout conversion by device type", output_type="top_n")
fullstory:compute_metric(metric_id)
Step 2: Mobile-specific frustration signals
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.
- 7d ago Changed · +4 lines e37049b1e202
- 2mo ago First seen · 141 lines · 43 tokens per session scan A 960c87d7dd76
mobile-analyzer is a skill published in the GitHub repository reatlat/fullstory-claude-plugin (35 stars, last pushed 7d ago), licensed MIT. It adds 43 tokens to every session and 1,520 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 2026-08-30.
mobile-analyzer compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| mobile-analyzerreatlat/fullstory-claude-plugin | Skill | 35 | 7d ago | MIT | A | 43 | Claude Code |
| roblox-guiTabooHarmony/roblox-brain | Skill | 162 | 23d ago | MIT | A | 34 | Claude Code |
| bitrix-uibxmaximum/bitrix-framework-skills | Skill | 52 | 2d ago | MIT | A | 57 | Claude Code, Codex |
| ref-auditp4inz-code/3d-ref-skills | Skill | 14 | yesterday | MIT | A | 128 | Claude Code, Codex |
| ref-style-decodep4inz-code/3d-ref-skills | Skill | 14 | yesterday | MIT | A | 72 | Claude Code, Codex |
| form-croborghei/Claude-Skills | Skill | 1.1k | 14d ago | none | A | 43 | Claude Code |
| page-croborghei/Claude-Skills | Skill | 1.1k | 14d ago | none | A | 39 | Claude Code |