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/maigentic/stratartsWrote 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/maigentic/stratarts/metrics-dashboard-designer)<a href="https://agentmods.dev/commands/maigentic/stratarts/metrics-dashboard-designer"><img src="https://agentmods.dev/badge/commands/maigentic/stratarts/metrics-dashboard-designer/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/maigentic/stratarts/metrics-dashboard-designer"><img src="https://agentmods.dev/badge/commands/maigentic/stratarts/metrics-dashboard-designer.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 | $0.00046 | $0.08133 |
| Opus 5 | $0.00023 | $0.04066 |
| Sonnet 5 | $0.00009 | $0.01627 |
| Haiku 4.5 | $0.00005 | $0.00813 |
Grade A, and why
metrics-dashboard-designer 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 9d 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 — 836 lines — stays where its author put it; the contents beside it link to each section on GitHub.
metrics-dashboard-designer
Step 0: Pre-Generation Verification
IMPORTANT: Before generating the HTML output, verify you have gathered data for ALL required placeholders:
Header & Score Banner Placeholders
-
{{BUSINESS_NAME}}- Company/product name -
{{DATE}}- Generation date -
{{DASHBOARD_COUNT}}- Number of dashboards (typically 5) -
{{METRIC_COUNT}}- Total metrics tracked -
{{ALERT_COUNT}}- Number of alerts configured -
{{MRR_VALUE}}- Current MRR -
{{LTV_CAC}}- LTV:CAC ratio -
{{FRAMEWORK_TYPE}}- Framework (e.g., "AARRR PIRATE METRICS")
North Star Metric Placeholders
-
{{NSM_VALUE}}- Current NSM value -
{{NSM_NAME}}- NSM name -
{{NSM_DESCRIPTION}}- Why this metric matters -
{{NSM_DRIVERS}}- 3 driver metric items
AARRR Placeholders
-
{{AARRR_STAGES}}- 5 stage cards with metrics
Dashboard Placeholders
-
{{DASHBOARD_CARDS}}- 5 dashboard cards with metrics lists
Metrics Dictionary Placeholders
-
{{METRICS_TABLE_ROWS}}- 8-10 key metrics with details
Alerts Placeholders
-
{{ALERT_CARDS}}- 6 alert cards with thresholds
Data Stack Placeholders
-
{{DATA_STACK_SECTIONS}}- 3 sections (Sources, Warehouse, Visualization)
Roadmap Placeholders
-
{{ROADMAP_PHASES}}- 3 phase cards
Chart Data Placeholders
-
{{FUNNEL_LABELS}}- JSON array (AARRR stages) -
{{FUNNEL_DATA}}- JSON array (user counts) -
{{MRR_LABELS}}- JSON array (months) -
{{MRR_DATA}}- JSON array (MRR values) -
{{RETENTION_LABELS}}- JSON array (days) -
{{RETENTION_DATA}}- JSON array (percentages) -
{{ENGAGEMENT_LABELS}}- JSON array (days) -
{{DAU_DATA}}- JSON array (DAU values) -
{{WAU_DATA}}- JSON array (WAU values)
DO NOT proceed to HTML generation until all placeholders have corresponding data from the user conversation.
Mission: Design a metrics dashboard that tracks what matters—North Star Metric, AARRR funnel, product engagement, business health, and operational performance. Define KPIs, set targets, choose visualizations, and create a single source of truth for data-driven decision making.
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.
- 9d ago First seen · 836 lines · 46 tokens per session scan A ebceececcb79
metrics-dashboard-designer is a command published in the GitHub repository maigentic/stratarts (40 stars, last pushed 6mo ago), licensed MIT. It adds 46 tokens to every session and 8,133 once invoked, about $0.0002 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.
Other commands, from other repositories
psql-query
Run ad-hoc PostgreSQL analytics queries against dev/test database.
discover
Run a full product discovery cycle — from outcome definition through opportunity mapping, prioritisation, and experiment design. Use when the team isn't sure what to build next, or before writing a PRD for a complex feature space.
ccr
CCR (Compressed Context with Retrieval) — recall the full original of context that greatcto compressed/filtered out, by its short id. The retrieval half of the compression layer.
coding-audit
Medical-coding / revenue-cycle compliance audit. Invokes rcm-reviewer to assess autonomous ICD-10-CM / CPT / HCPCS coding for False Claims Act exposure (upcoding/unbundling), NCCI edits + MUEs, medical necessity (LCD/NCD), modifier discipline, HIPAA minimum-necessary — and force a certified-coder (CPC/CCS) sign-off.
tax-review
Tax-filing compliance check — invokes tax-reviewer to produce TM-tax-{slug}.md with MeF e-file schema, Form 8879, PTIN/Circular 230, and IRC §7216 consent gaps.
voice-compliance
Voice/telephony compliance check — invokes voice-ai-reviewer to produce TM-voice-{slug}.md with TCPA, STIR/SHAKEN, state recording-consent, EU AI Act Art. 50, and synth-voice deepfake-law gaps.