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 FortiumPartners/ensemble --skill ensemble-manager-dashboardgit clone --depth 1 https://github.com/FortiumPartners/ensembleWrote 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/fortiumpartners/ensemble/ensemble-manager-dashboard)<a href="https://agentmods.dev/skills/fortiumpartners/ensemble/ensemble-manager-dashboard"><img src="https://agentmods.dev/badge/skills/fortiumpartners/ensemble/ensemble-manager-dashboard/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/fortiumpartners/ensemble/ensemble-manager-dashboard"><img src="https://agentmods.dev/badge/skills/fortiumpartners/ensemble/ensemble-manager-dashboard.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 | $0.00024 | $0.00322 |
| Opus 5 | $0.00012 | $0.00161 |
| Sonnet 5 | $0.00005 | $0.00064 |
| Haiku 4.5 | $0.00002 | $0.00032 |
Grade A, and why
ensemble-manager-dashboard 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.
What it actually says
Ensemble Command: /ensemble:manager-dashboard
This Codex skill mirrors the Ensemble slash command /ensemble:manager-dashboard.
Follow the workflow below, adapt to the current repository, and keep outputs structured.
Generate a comprehensive management dashboard with real-time productivity metrics, team analytics, sprint progress, and actionable insights for engineering managers and technical leads.
Workflow
Phase 1: Data Collection
1. Metrics Gathering Collect productivity metrics from all sources
- Git commit history
- Test coverage reports
- Sprint task completion
- Code review metrics
Phase 2: Analysis
1. Trend Analysis Analyze productivity trends over time
2. Insight Generation Generate actionable insights
Phase 3: Dashboard Generation
1. Dashboard Creation Generate HTML/Markdown dashboard
Delegation: @manager-dashboard-agent Collected metrics and analysis results
Expected Output
Format: Interactive Dashboard
Structure:
- Productivity Metrics: Development velocity, error rates, automation coverage
- Team Analytics: Individual and team performance metrics
- Sprint Progress: Current sprint status and burndown
Usage
/ensemble:manager-dashboard
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 · 62 lines · 24 tokens per session scan A 52dbc5e5cea7
ensemble-manager-dashboard is a skill published in the GitHub repository FortiumPartners/ensemble (12 stars, last pushed yesterday), licensed MIT. It adds 24 tokens to every session and 322 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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