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 cnfeat/top-pm-skills --skill dashboard-briefgit clone --depth 1 https://github.com/cnfeat/top-pm-skillsWrote 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/cnfeat/top-pm-skills/dashboard-brief)<a href="https://agentmods.dev/skills/cnfeat/top-pm-skills/dashboard-brief"><img src="https://agentmods.dev/badge/skills/cnfeat/top-pm-skills/dashboard-brief/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/cnfeat/top-pm-skills/dashboard-brief"><img src="https://agentmods.dev/badge/skills/cnfeat/top-pm-skills/dashboard-brief.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 | $0.00064 | $0.01153 |
| Opus 5 | $0.00032 | $0.00576 |
| Sonnet 5 | $0.00013 | $0.00231 |
| Haiku 4.5 | $0.00006 | $0.00115 |
Grade A, and why
dashboard-brief 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 7d 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 — 131 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Dashboard Brief Skill
This skill converts a business question or monitoring need into a complete, implementation-ready dashboard specification. The output gives a data engineer or BI developer everything they need to build without a follow-up meeting.
Required Inputs
Ask the user for these if not provided:
- The business question this dashboard should answer (e.g. "How is our activation funnel performing this week?")
- Primary audience (exec / product team / operations / customer success / engineering)
- Refresh cadence (real-time / hourly / daily / weekly)
- Data sources available (e.g. Postgres, BigQuery, Mixpanel, Salesforce, Jira)
- BI tool being used (Looker / Metabase / Tableau / Power BI / Grafana / Custom / Unknown)
Output Structure
Dashboard Brief: [Dashboard Name]
Business Question: [The question this dashboard answers — verbatim from inputs or refined] Audience: [Who uses this] Refresh Rate: [Real-time / Hourly / Daily / Weekly] Data Sources: [List] BI Tool: [Tool or Unknown]
Section 1: Key Metrics (KPI Cards)
List the headline numbers that should appear at the top of the dashboard as KPI cards.
| Metric | Definition | Data Source | Comparison |
|---|---|---|---|
| [Metric name] | [How it's calculated] | [Table/source] | [vs. last week / vs. target / MoM] |
Aim for 3–6 KPI cards. More than 6 is noise.
Section 2: Charts & Visualisations
For each chart, specify:
Chart [N]: [Chart Title]
- Chart type: [Line / Bar / Stacked bar / Pie / Funnel / Heatmap / Table / Scatter]
- Why this chart type: [One sentence — why this type suits this data]
- X-axis / Rows: [Dimension — e.g. Date, User segment, Product]
- Y-axis / Values: [Metric — e.g. Count of active users, Revenue]
- Breakdown/colour: [Optional secondary dimension — e.g. by Plan tier, by Channel]
- Data source: [Table or source]
- Filters: [Any default filters applied — e.g. "Exclude internal test accounts"]
- Key insight to surface: [What pattern or signal this chart should help the viewer spot]
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.
- 7d ago First seen · 131 lines · 64 tokens per session scan A 32e30dadfa44
dashboard-brief is a skill published in the GitHub repository cnfeat/top-pm-skills (48 stars, last pushed 3mo ago), licensed MIT. It adds 64 tokens to every session and 1,153 once invoked, about $0.0003 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 2026-09-03.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…
next-cache-components-optimizer
Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…
next-partial-prefetching-adoption
Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…