Dashboard BriefCAUTION
1255 professional Agent Skills for Claude, ChatGPT, Gemini, Cursor & Codex — PRDs, postmortems, leases, medical bills, layoffs, go-bags, new countries. Plain markdown, MIT, in Anthropic's plugin directory. Plus a typed decision layer: which skill, is it safe, ship or slip. Free in-browser or npx pm-
Overview
1255 professional Agent Skills for Claude, ChatGPT, Gemini, Cursor & Codex — PRDs, postmortems, leases, medical bills, layoffs, go-bags, new countries. Plain markdown, MIT, in Anthropic's plugin directory. Plus a typed decision layer: which skill, is it safe, ship or slip. Free in-browser or npx pm-
8d32d25aa3f5OBSERVED · 2026-10-12What it tells the agent
The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.
--- name: dashboard-brief description: "Convert a business question into a complete dashboard specification. Use when asked to design a dashboard, create a dashboard spec or brief, plan a BI report, or define what charts and metrics a dashboard should include. Produces a structured spec with metrics, dimensions, chart types, filters, and layout guidance." --- # 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 Work from what is given. If any of these is missing, still produce the complete output: fill each gap with a reasonable assumption marked *(assumed, confirm)* and list those assumptions at the end. Ask a question first only when the core subject itself is missing (there is nothing to write about). - **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] --- ## Section 3: Filters & Controls Global filters available to dashboard viewers: | Filter | Type | Default | Options | |---|---|---|---| | Date range | Date picker | Last 30 days | Custom | | [Segment filter] | Dropdown | All | [List relevant values] | | [Other filter] | Multi-select | All | [List relevant values] | --- ## Section 4: Layout Recommendation Describe the dashboard layout in plain terms: ``` [ROW 1 — KPI Cards]: [Metric 1] | [Metric 2] | [Metric 3] | [Metric 4] [ROW 2 — Primary chart, full width]: [Chart name] [ROW 3 — Two charts side by side]: [Chart A] | [Chart B] [ROW 4 — Supporting table, full width]: [Table name] ``` --- ## Section 5: Data Requirements List any data transformations, joins, or derived fields needed: | Derived Field | Logic | Source Tables | |---|---|---| | [Field name] | [How it's calculated] | [Tables involved] | Flag any fields that may not exist in current data infrastructure. --- ## Section 6: Access & Ownership - **Dashboard owner:** [Leave for user to fill] - **Who can edit:** [Leave for user to fill] - **Who can view:** [Leave for user to fill] - **Review cadence:** [When should this dashboard be reviewed for relevance?] --- ## Quality Checks - [ ] Every chart has a stated "key insight to surface" — not just "show the data" - [ ] KPI cards are 3–6 (not more) - [ ] Chart types are justified - [ ] Layout follows visual hierarchy (summary → detail) - [ ] Data requirements section flags any missing fields - [ ] Filters are practical and don't require IT to configure ## Anti-Patterns - [ ] Do not specify metrics that the available data sources cannot actually support — always validate data availability - [ ] Do not include more than 8–10 primary metrics on a single dashboard — more creates noise, not insight - [ ] Do not skip the primary business question — a dashboard without a north-star question becomes a vanity metrics display - [ ] Do not choose chart types for aesthetic reasons — every chart type must match the data relationship it represents - [ ] Do not leave filter configurations vague — specify exact filter values, not just filter categories ## Example Trigger Phrases - "Design a dashboard to track [business process]" - "Give me a spec for a [team] performance dashboard" - "What should go on a [topic] dashboard?" - "Write a dashboard brief for our [metric] monitoring"
Trust audit
CAUTIONgrade B · trust 89/100 Install with care. The audit found things worth knowing before you trust its output.
| Layer | What it checks | Result |
|---|---|---|
| L0 | Provenance & inventory | WARN |
| L1 | Static analysis of the code | NA |
| L2 | Instruction surface (what it tells the agent) | PASS |
| L3 | Class-specific surface | PASS |
| L4 | Behavioural (sandbox) | SKIPPED |
What the source does
- Filesystem
- none-observed
- Network
- none-observed
- Shell
- none-observed
- Dependencies
- pinned
- Secrets in source
- none-found
Findings (5)
templates/pm-discovery-agent/skills/assumption-mapper/SKILL.md
templates/pm-discovery-agent/skills/discovery-interview-guide/SKILL.md
templates/pm-discovery-agent/skills/job-story-mapper/SKILL.md
templates/pm-discovery-agent/skills/user-interview-synthesis/SKILL.md
templates/pm-launch-agent/skills/content-calendar/SKILL.md
Gates applied: no_behavioural_pass.
8d32d25aa3f5full audit observations/trust-audit/skill/mohitagw15856__dashboard-brief.json · Report an issue / request a re-scanAudit history
Every audit this skill has had.
| Date | Source | Verdict | Grade | Score | Change |
|---|---|---|---|---|---|
| 2026-10-12 | 8d32d25aa3f5 | CAUTION | B | 89 | first audit |
Questions
What does the Dashboard Brief skill do?
1255 professional Agent Skills for Claude, ChatGPT, Gemini, Cursor & Codex — PRDs, postmortems, leases, medical bills, layoffs, go-bags, new countries. Plain markdown, MIT, in Anthropic's plugin directory. Plus a typed decision layer: which skill, is it safe, ship or slip. Free in-browser or npx pm-
Is Dashboard Brief safe to install?
With care. The audit graded it B (89/100) and found 5 things worth knowing before you trust this skill, listed below with the exact line each was found on.
What can Dashboard Brief access on my machine?
The audit observed no filesystem, network or shell use at all in its source.
How current is this page?
The grade is for one exact copy of the source (8d32d25aa3f5), read on 2026-10-12. The repository is watched, and a new audit runs when it changes — this is the first audit.