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.
git clone --depth 1 https://github.com/JubaKitiashvili/everything-react-native-expoWrote 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/commands/jubakitiashvili/everything-react-native-expo/erne-debug-video)<a href="https://agentmods.dev/commands/jubakitiashvili/everything-react-native-expo/erne-debug-video"><img src="https://agentmods.dev/badge/commands/jubakitiashvili/everything-react-native-expo/erne-debug-video/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/commands/jubakitiashvili/everything-react-native-expo/erne-debug-video"><img src="https://agentmods.dev/badge/commands/jubakitiashvili/everything-react-native-expo/erne-debug-video.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00017 | $0.00624 |
| Opus 5.5 | $0.00007 | $0.00250 |
| Sonnet 5.5 | $0.00003 | $0.00125 |
| Haiku 4.5 | $0.00002 | $0.00062 |
Grade A, and why
erne-debug-video 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 — 80 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/erne-debug-video — Video Debugging
You are executing the /erne-debug-video command. Analyze screen recordings to detect animation glitches, race conditions, gesture issues, scroll jank, keyboard overlap, and navigation transitions that screenshots cannot capture.
Arguments
/debug-video <file> — analyze a screen recording (.mp4, .mov, .webm)
/debug-video <file> --focus <area> — focus analysis on a specific UI area or interaction
/debug-video <file> --fps — include frame rate analysis for animation smoothness
Process
Step 1: Extract Key Frames
- Use the
extract-video-frames.jsscript to extract frames at key moments - Focus on: transition starts/ends, gesture interactions, state changes, animation keyframes
- Extract at higher density during rapid visual changes
Step 2: Temporal Analysis
- Apply multimodal vision to extracted frames in sequence
- Identify temporal issues across the recording timeline:
| Category | Examples |
|---|---|
| Animation | jank, stutter, dropped frames, wrong easing |
| Gesture | unresponsive touch, wrong drag behavior, gesture conflict |
| Transition | flash of wrong content, layout shift, z-order issues |
| Race Condition | loading state flicker, stale data flash, double render |
| Keyboard | content overlap, scroll jump, input hidden behind keyboard |
| Scroll | jank, blank areas, recycling artifacts, momentum issues |
Severity: critical · major · minor
Step 3: Root Cause Analysis
- Read the relevant component and animation source files
- Correlate visual issues with code patterns
- Present findings with frame-by-frame evidence
Step 4: Interactive Fix
- User picks issue numbers to fix
- Apply the fix (minimal change, match project style)
- If possible, re-record and compare before/after
- Ask: "Does this look correct? Any remaining issues?"
Step 5: Summary
- Issues detected (count by severity and category)
- Frame evidence for each issue (timestamps + descriptions)
- Fixes applied with code diffs
- Remaining issues (if any deferred by user)
- Save findings to memory for future reference
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 · 80 lines · 17 tokens per session scan A 14166cd9803a
erne-debug-video is a command published in the GitHub repository JubaKitiashvili/everything-react-native-expo (49 stars, last pushed 8d ago), licensed MIT. It adds 17 tokens to every session and 624 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 2026-10-09.
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