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llm-monitoring-dashboard

Auto-generates an LLM usage monitoring page in a PM admin dashboard. Tokuin CLI-based token/cost/latency tracking + user ranking system + inactive user tracking + data-driven PM insights + Cmd+K global search + per-user drilldown navigation. Supports OpenAI/Anthropic/Gemini/OpenRouter.

Install with Tessl CLI

npx tessl i github:supercent-io/skills-template --skill llm-monitoring-dashboard
What are skills?

67

1.86x

Quality

52%

Does it follow best practices?

Impact

99%

1.86x

Average score across 3 eval scenarios

Optimize this skill with Tessl

npx tessl skill review --optimize ./.agent-skills/llm-monitoring-dashboard/SKILL.md
SKILL.md
Review
Evals

Evaluation results

97%

55%

LLM Usage Metrics Collection Pipeline

Privacy-safe metrics collection pipeline

Criteria
Without context
With context

No hardcoded API keys

100%

100%

dry-run default

0%

100%

JSONL output path

100%

100%

Prompt hashing

0%

100%

Prompt categorization

100%

100%

Keyword-based classification

100%

100%

User context fields

0%

100%

Latency fields

0%

100%

is_dry_run field

0%

62%

.env in .gitignore

100%

100%

Tokuin CLI usage

0%

100%

status_code field

0%

100%

Without context: $0.3721 · 1m 43s · 18 turns · 25 in / 6,437 out tokens

With context: $0.8307 · 2m 33s · 35 turns · 329 in / 9,406 out tokens

100%

43%

LLM Usage Monitoring Dashboard

Dashboard design tokens and drilldown navigation

Criteria
Without context
With context

Background token --bg-base

50%

100%

CSS design token variables

100%

100%

3-level traffic light system

100%

100%

Traffic light hex values

0%

100%

Badge elements for status

100%

100%

Monospace font for metrics

0%

100%

Tabular numeric alignment

0%

100%

User drilldown navigation

100%

100%

Auto-generated PM insights

100%

100%

Chart.js for charts

100%

100%

Colorblind-friendly series colors

0%

100%

Ranking medal colors

0%

100%

Without context: $0.6550 · 3m 13s · 14 turns · 21 in / 16,414 out tokens

With context: $0.9212 · 3m 5s · 21 turns · 281 in / 13,966 out tokens

100%

39%

LLM Cost Monitoring: Automated Reporting and Alerting

PM report automation and cost alerting

Criteria
Without context
With context

safety-guard.sh exists

87%

100%

PM report Markdown format

100%

100%

User ranking by cost

100%

100%

Inactive user section

100%

100%

Adoption rate metric

50%

100%

Report filename pattern

25%

100%

95% SLA success rate check

12%

100%

Configurable cost threshold

70%

100%

Alert exit code 1

100%

100%

Slack webhook from env var

100%

100%

Weekly report cron Monday 9am

0%

100%

Cost alert cron hourly

0%

100%

Without context: $0.5762 · 2m 50s · 22 turns · 29 in / 11,101 out tokens

With context: $1.8245 · 5m 37s · 48 turns · 54 in / 22,744 out tokens

Evaluated
Agent
Claude Code
Model
Claude Sonnet 4.6

Table of Contents

Is this your skill?

If you maintain this skill, you can claim it as your own. Once claimed, you can manage eval scenarios, bundle related skills, attach documentation or rules, and ensure cross-agent compatibility.