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 The-AI-Directory-Company/agents-and-skills --skill bi-reportgit clone --depth 1 https://github.com/The-AI-Directory-Company/agents-and-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/the-ai-directory-company/agents-and-skills/bi-report)<a href="https://agentmods.dev/skills/the-ai-directory-company/agents-and-skills/bi-report"><img src="https://agentmods.dev/badge/skills/the-ai-directory-company/agents-and-skills/bi-report/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/the-ai-directory-company/agents-and-skills/bi-report"><img src="https://agentmods.dev/badge/skills/the-ai-directory-company/agents-and-skills/bi-report.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 | $0.00035 | $0.01616 |
| Opus 5 | $0.00017 | $0.00808 |
| Sonnet 5 | $0.00007 | $0.00323 |
| Haiku 4.5 | $0.00003 | $0.00162 |
Grade A, and why
bi-report 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.
How it starts
The opening of the file, as written. The whole thing — 120 lines — stays where its author put it; the contents beside it link to each section on GitHub.
BI Report
Before you start
Gather the following from the user before designing any report:
- What decision does this report support? Name the specific business question. "How is revenue trending?" is a question. "Revenue dashboard" is not.
- Who is the audience? Executives need summaries and trends. Analysts need drill-downs and raw data access. Operators need real-time alerts.
- What metrics matter? List the 3-7 KPIs this report must answer. Every metric needs a precise definition before you build anything.
- What data sources exist? Tables, schemas, APIs, or third-party systems. Confirm access and freshness.
- How often is the data needed? Real-time, hourly, daily, weekly — this drives refresh strategy and cost.
- What filters and breakdowns are required? Date range, region, product line, customer segment — define the dimensions.
If the user says "build me a sales report," push back: "What specific questions should this report answer? Who will use it and how often?"
BI report design template
1. Report Purpose
Write 2-3 sentences:
- The business question this report answers
- The primary audience and how they will use it
- The cadence of use (daily standup, weekly review, monthly board meeting)
2. Metric Definitions
Define every metric precisely. Ambiguous metrics produce misleading reports.
| Metric | Definition | Formula | Unit | Grain |
|---|---|---|---|---|
| Monthly Recurring Revenue | Sum of active subscription values at month end | SUM(subscription_amount) WHERE status = 'active' AND date = last_day_of_month |
USD | Monthly |
| Churn Rate | Percentage of customers who cancelled in the period | cancelled_customers / start_of_period_customers * 100 |
% | Monthly |
| Average Order Value | Mean revenue per completed order | SUM(revenue) / COUNT(DISTINCT order_id) WHERE status = 'completed' |
USD | Daily |
For each metric, specify:
- Includes/excludes: Does revenue include refunds? Does churn count downgrades?
- Null handling: What happens when a dimension value is missing?
- Historical comparability: Has the definition changed? Document when and how.
What ships with it
3 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.
- 9d ago First seen · 120 lines · 35 tokens per session scan A 832df071cd41
bi-report is a skill published in the GitHub repository The-AI-Directory-Company/agents-and-skills (2 stars, last pushed 5mo ago), licensed MIT. It adds 35 tokens to every session and 1,616 once invoked, about $0.0002 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.
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