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 j4flmao/agent-skills --skill bi-toolsgit clone --depth 1 https://github.com/j4flmao/agent-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/j4flmao/agent-skills/bi-tools)<a href="https://agentmods.dev/skills/j4flmao/agent-skills/bi-tools"><img src="https://agentmods.dev/badge/skills/j4flmao/agent-skills/bi-tools/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/j4flmao/agent-skills/bi-tools"><img src="https://agentmods.dev/badge/skills/j4flmao/agent-skills/bi-tools.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00131 | $0.04678 |
| Opus 5 | $0.00066 | $0.02339 |
| Sonnet 5 | $0.00026 | $0.00936 |
| Haiku 4.5 | $0.00013 | $0.00468 |
Grade A, and why
data-bi-tools 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 8d 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 — 557 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Data BI Tools
Purpose
Select BI tools (Metabase, Superset, Looker, Tableau, PowerBI), design semantic layers and dashboard layouts (KPI, trend, comparison, funnel), configure embedded analytics via iFrame/SDK, set up data source connections with caching, and build permission models with row-level security.
Agent Protocol
Trigger
Exact user phrases: "BI", "dashboard", "Metabase", "Superset", "Looker", "Tableau", "PowerBI", "reporting", "data visualization", "business intelligence", "KPI dashboard", "BI tool", "semantic layer", "embedded analytics", "BI dashboard design", "LookML", "chart", "analytics dashboard", "BI permissions".
Input Context
Before activating, verify:
- Team size and technical skill level
- Data warehouse platform
- Number of dashboards and refresh frequency
- Authentication provider (SSO, SAML, OIDC)
- Embedding requirements (customer-facing vs internal)
- Budget range (open-source vs enterprise SaaS)
Output Artifact
BI strategy with tool comparison, semantic layer design, dashboard mockup description as YAML and markdown.
Response Format
# Tool comparison matrix
# Semantic layer config
# Dashboard layout spec
# Permission model
# Cache policy
No preamble. No postamble. No explanations. No filler/hedging/transitions. Compress output — why use many token when few do trick.
Completion Criteria
- BI tool selected based on evaluation criteria
- Semantic layer defined with business-friendly metric names
- Dashboard layout with hierarchy (executive → operational → tactical)
- Embedded analytics integration approach documented
- Permission model with row-level security configured
- Performance optimization for dashboard load times
- Data source configuration and caching policy defined
- Dashboard scheduling and alerting configured
Max Response Length
250 lines of configuration and design.
Workflow
Step 1: Tool Selection
Metabase: open-source, no-code query builder. Best for teams under 50 users. Quick setup, minimal maintenance.
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.
- 8d ago First seen · 557 lines · 131 tokens per session scan A 583cbdb29d19
data-bi-tools is a skill published in the GitHub repository j4flmao/agent-skills (23 stars, last pushed 6d ago), licensed MIT. It adds 131 tokens to every session and 4,678 once invoked, about $0.0007 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
reimagine-it-extract
Emit the content signals reimagine-it reads from an HTML file — title, anchors, proper nouns, dates, numbers, emails, links, source hex colors, and the derived palette — as JSON without generating a redesign. Use when the user says /reimagine-it extract, "what does the engine see in this page", "extract the palette"…
frame-pentagram-stat
Swiss-grid statistic anchor — giant number, red accent, growing bars, black data bar. Rational and editorial.
panel-material-ui
Best practices for developing modern looking tools, dashboards and data apps using HoloViz Panel and Panel Material UI components.
relational-database-design
Designs or reviews a relational database schema for a given domain. Covers table structure, normalization, indexes, constraints, and migration strategy. Invoked when the user asks to design a schema, review a database structure, or optimize a data model.
dashboard-designer
Use this skill when designing a data dashboard—choosing KPIs, structuring layout, applying visual hierarchy, or deciding which BI tool to use. Trigger phrases: 'design a dashboard', 'build a KPI dashboard', 'what should my dashboard show', 'help me layout a dashboard', 'dashboard for monitoring'. Not for building…
frame-data-chart-nyt
NYT-newsroom typography, staggered reveal animation, and editorial-grade charts (line, bar, or range band).