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 Proxy2021/Enso --skill quality_dashboardgit clone --depth 1 https://github.com/Proxy2021/EnsoWrote 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/proxy2021/enso/quality_dashboard)<a href="https://agentmods.dev/skills/proxy2021/enso/quality_dashboard"><img src="https://agentmods.dev/badge/skills/proxy2021/enso/quality_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/proxy2021/enso/quality_dashboard"><img src="https://agentmods.dev/badge/skills/proxy2021/enso/quality_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 | $0.00038 | $0.00708 |
| Opus 5.5 | $0.00015 | $0.00283 |
| Sonnet 5.5 | $0.00008 | $0.00142 |
| Haiku 4.5 | $0.00004 | $0.00071 |
Grade A, and why
quality_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 1mo 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 — 50 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Quality & Insights Dashboard — monitor Enso's quality scores, activity feed, personalization profile, and AI-generated insights. Provides transparent visibility into how well your AI assistant is performing.
Tool Reference
enso_quality_dashboard_overview (primary)
Get Enso quality overview: composite score (0-100), dimension breakdowns (Response Quality, Action Success, Proactive Relevance, Orchestration Value), 7-day and 30-day trends. Use when the user says: 'show quality dashboard', 'how is Enso doing', 'quality score', 'show quality overview', 'Enso health'.
Parameters:
period(string): Time period for trends: '7d' or '30d' (default: '7d')
enso_quality_dashboard_activity
Get chronological activity feed with quality signals. Filter by interaction type (chat, action, proactive, orchestration), quality level, or date range. Use when the user says: 'show activity', 'recent interactions', 'what has Enso been doing', 'activity log', 'quality feed'.
Parameters:
filter(string): Filter by type: 'all', 'chat', 'action', 'proactive', 'orchestration' (default: 'all')quality(string): Filter by quality: 'all', 'good', 'neutral', 'poor' (default: 'all')limit(number): Number of entries to return (default: 30)
enso_quality_dashboard_profile
View personalization profile — what Enso has learned about the user. Shows work patterns, communication preferences, topic interests, tool usage with confidence levels and evidence counts. Users can edit or delete preferences. Use when the user says: 'what does Enso know about me', 'personalization profile', 'my preferences', 'learned preferences', 'show my profile'.
Parameters:
action(string): Action: 'view', 'delete' (default: 'view')preferenceId(string): Preference ID to delete (required for delete action)
enso_quality_dashboard_insights
Get AI-generated insights and recommendations based on usage patterns. Shows productivity insights, feature recommendations, and weekly summary stats. Use when the user says: 'show insights', 'recommendations', 'usage patterns', 'weekly summary', 'what can I improve', 'Enso suggestions'.
What ships with it
7 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.
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.
- 1mo ago First seen · 50 lines · 38 tokens per session scan A c1c4a0511ec4
quality_dashboard is a skill published in the GitHub repository Proxy2021/Enso (6 stars, last pushed 5mo ago), licensed MIT. It adds 38 tokens to every session and 708 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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