Borrowing it
Nothing to install: this file belongs to israel-salgado/dt-mcp-server. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/israel-salgado/dt-mcp-server/main/.agents/skills/dt-obs-frontends/SKILL.mdgit clone --depth 1 https://github.com/israel-salgado/dt-mcp-serverWrote 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/israel-salgado/dt-mcp-server/dt-obs-frontends)<a href="https://agentmods.dev/skills/israel-salgado/dt-mcp-server/dt-obs-frontends"><img src="https://agentmods.dev/badge/skills/israel-salgado/dt-mcp-server/dt-obs-frontends/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/israel-salgado/dt-mcp-server/dt-obs-frontends"><img src="https://agentmods.dev/badge/skills/israel-salgado/dt-mcp-server/dt-obs-frontends.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 | $0.00040 | $0.05722 |
| Opus 5.5 | $0.00016 | $0.02289 |
| Sonnet 5.5 | $0.00008 | $0.01144 |
| Haiku 4.5 | $0.00004 | $0.00572 |
Grade A, and why
dt-obs-frontends 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 2mo 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 — 610 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Frontend Observability Skill
Monitor web and mobile frontends using Real User Monitoring (RUM) with DQL queries. This skill targets the new RUM experience only; do not use classic RUM data.
Overview
This skill helps you:
- Monitor Core Web Vitals and frontend performance
- Track user sessions, engagement, and behavior
- Analyze errors and correlate with backend traces
- Optimize mobile app startup and stability
- Diagnose performance issues with detailed timing analysis
Data Sources:
- Metrics:
timeserieswithdt.frontend.*(trends, alerting) - Events:
fetch user.events(individual page views, requests, clicks, errors) - Sessions:
fetch user.sessions(session-level aggregates: duration, bounce, counts)
Quick Reference
Common Metrics
dt.frontend.user_action.count- User action volumedt.frontend.user_action.duration- User action durationdt.frontend.request.count- Request volumedt.frontend.request.duration- Request latency (ms)dt.frontend.error.count- Error countsdt.frontend.session.active.estimated_count- Active sessionsdt.frontend.user.active.estimated_count- Unique usersdt.frontend.web.page.cumulative_layout_shift- CLS metricdt.frontend.web.navigation.dom_interactive- DOM interactive timedt.frontend.web.page.first_input_delay- FID metric (legacy; prefer INP)dt.frontend.web.page.largest_contentful_paint- LCP metricdt.frontend.web.page.interaction_to_next_paint- INP metricdt.frontend.web.navigation.load_event_end- Load event enddt.frontend.web.navigation.time_to_first_byte- Time to first byte
Common Filters
frontend.name- Filter by frontend name (e.g.my-frontend)dt.rum.user_type- Exclude synthetic monitoringgeo.country.iso_code- Geographic filteringdevice.type- Mobile, desktop, tabletbrowser.name- Browser filtering
Common Timeseries Dimensions
Use these for dt.frontend.* timeseries splits and breakdowns:
frontend.name- Frontend namegeo.country.iso_codedevice.typebrowser.nameos.nameuser_type-real_user,synthetic,robot
What ships with it
24 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.
- references/AdvancedPerformance.md 3.0 KB
- references/CSPViolations.md 4.4 KB
- references/error-tracking.md 7.9 KB
- references/FrontendBasics.md 1.3 KB
- references/FrontendErrors.md 4.2 KB
- references/index.md 3.0 KB
- references/LongTasks.md 4.3 KB
- references/mobile-monitoring.md 8.4 KB
- references/MobileAppStart.md 4.5 KB
- references/MobileCrashes.md 3.4 KB
- references/NavigationPatterns.md 4.2 KB
- references/PageViewAnalysis.md 4.4 KB
- references/performance-analysis.md 13 KB
- references/RequestPerformance.md 3.8 KB
- references/RequestTimingAnalysis.md 4.4 KB
- references/TraceCorrelation.md 3.4 KB
- references/user-sessions.md 8.7 KB
- references/UserAction.md 5.9 KB
- references/UserEngagement.md 4.3 KB
- references/UserInteractions.md 4.1 KB
- references/UserSessions.md 3.9 KB
- references/UserSessionsProperties.md 3.7 KB
- references/VisibilityChanges.md 4.3 KB
- references/WebVitals.md 5.0 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.
- 2mo ago First seen · 610 lines · 40 tokens per session scan A e98fa38ad69d
dt-obs-frontends is a skill published in the GitHub repository israel-salgado/dt-mcp-server (2 stars, last pushed 6mo ago), licensed MIT. It adds 40 tokens to every session and 5,722 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 2026-08-31.
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