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 ai-analyst-lab/ai-analyst-plugin --skill businessgit clone --depth 1 https://github.com/ai-analyst-lab/ai-analyst-pluginWrote 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/ai-analyst-lab/ai-analyst-plugin/business)<a href="https://agentmods.dev/skills/ai-analyst-lab/ai-analyst-plugin/business"><img src="https://agentmods.dev/badge/skills/ai-analyst-lab/ai-analyst-plugin/business/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/ai-analyst-lab/ai-analyst-plugin/business"><img src="https://agentmods.dev/badge/skills/ai-analyst-lab/ai-analyst-plugin/business.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to high
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- high System Prompt Leakage · line 203 Skill contains instructions that could directly expose system prompts, internal rules, or hidden instructions to users or external parties.Fix: Remove any instructions that reveal, print, or output system prompts or internal rules. System instructions should never be exposed to end users.
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 | $0.00094 | $0.02294 |
| Opus 5 | $0.00047 | $0.01147 |
| Sonnet 5 | $0.00019 | $0.00459 |
| Haiku 4.5 | $0.00009 | $0.00229 |
Grade A, and why
business 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 — 208 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/business — Business Context Browser
Interactive browser for your organization's knowledge system. Explore terms, products, metrics, objectives, and team structure.
⚠️ CRITICAL: This Skill's Purpose
This skill is for browsing ORGANIZATIONAL KNOWLEDGE FILES, not analyzing data.
What this skill does:
- Shows what's documented in
.knowledge/organizations/{org}/business/YAML files - Displays glossary terms, product catalogs, metric definitions, OKRs, team structure
- Searches across business knowledge categories
What this skill does NOT do:
- ❌ Query datasets or run SQL
- ❌ Analyze actual data in tables
- ❌ Show user profiles (separate system)
- ❌ Show analysis history (past analyses live in
.knowledge/analyses/; read that folder directly when asked) - ❌ Show corrections log (separate system)
If the user wants to know what products exist in the DATA, use the /explore skill instead. If they invoke /business products, show what's in the products YAML file.
Deference rule for metric-shaped terms: when the user asks what a metric means ("what does ARR mean here?", "how is churn defined?"), check the active dataset's metric dictionary first via the metrics skill; use this skill for organizational vocabulary (products, teams, OKRs, general glossary terms) or when the metrics lookup comes up empty.
Trigger
Invoked as /business or /business {subcommand}
Prerequisites
- Organization context must exist at
.knowledge/organizations/{org}/ - Read
.knowledge/setup-state.yamlto find active organization - If no org configured: "No organization context found. Run the knowledge-bootstrap skill to create the
.knowledge/tree, then add business context at.knowledge/organizations/{name}/(I can create the YAML files with you)."
Subcommands
/business (no args) — Overview
Display a summary of available business context:
📊 Business Context: {org_name}
Glossary: {n} terms defined
Products: {n} products cataloged
Metrics: {n} metrics specified
Objectives: {n} OKRs/goals tracked
Teams: {n} teams mapped
Type /business {category} for details.
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 · 208 lines · 94 tokens per session scan A 2a4f64c908be
business is a skill published in the GitHub repository ai-analyst-lab/ai-analyst-plugin (32 stars, last pushed 13d ago), licensed MIT. It adds 94 tokens to every session and 2,294 once invoked, about $0.0005 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 2026-08-30.
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