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 nexus-labs-automation/mobile-observability --skill session-replaygit clone --depth 1 https://github.com/nexus-labs-automation/mobile-observabilityWrote 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/nexus-labs-automation/mobile-observability/session-replay)<a href="https://agentmods.dev/skills/nexus-labs-automation/mobile-observability/session-replay"><img src="https://agentmods.dev/badge/skills/nexus-labs-automation/mobile-observability/session-replay/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/nexus-labs-automation/mobile-observability/session-replay"><img src="https://agentmods.dev/badge/skills/nexus-labs-automation/mobile-observability/session-replay.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 | $0.00026 | $0.00332 |
| Opus 5 | $0.00013 | $0.00166 |
| Sonnet 5 | $0.00005 | $0.00066 |
| Haiku 4.5 | $0.00003 | $0.00033 |
Grade A, and why
session-replay 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.
What it actually says
Session Replay
Capture visual recordings of user sessions for debugging.
When to Use
- Reproducing hard-to-debug issues
- Understanding user confusion
- QA and support investigations
Privacy Requirements (Must Do)
Mask by default:
- All text input fields
- Passwords and sensitive data
- User-generated content
- Financial information
- User photos/documents
Performance Budget
| Resource | Limit |
|---|---|
| CPU | <5% additional |
| Memory | <20MB additional |
| Network | Batch on WiFi |
| Battery | Pause when low |
Capture Strategies
| Strategy | Fidelity | Overhead |
|---|---|---|
| Screenshots (1-2 fps) | Lower | Lower |
| View hierarchy recording | Higher | Moderate |
| Hybrid (screenshots + events) | Best | Moderate |
Best Practice
Don't record everything. Target:
- Error sessions only (rolling buffer)
- Key user journeys
- 1-10% sampling for general insights
Implementation
See references/session-replay.md for:
- Platform-specific setup
- Privacy masking patterns
- Vendor configurations (Sentry, Datadog, New Relic)
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 · 63 lines · 26 tokens per session scan A fa45f66a62b0
session-replay is a skill published in the GitHub repository nexus-labs-automation/mobile-observability (116 stars, last pushed 20d ago), licensed MIT. It adds 26 tokens to every session and 332 once invoked, about $0.0001 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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