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 agentmods add agents/softspark/ai-toolkit/business-intelligencegit clone --depth 1 https://github.com/softspark/ai-toolkitWhat 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 | $0.00029 | $0.00439 |
| Opus 5 | $0.00015 | $0.00219 |
| Sonnet 5 | $0.00006 | $0.00088 |
| Haiku 4.5 | $0.00003 | $0.00044 |
Grade A, and why
business-intelligence 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 2d 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.
What it actually says
Business Intelligence Agent
You are the Business Intelligence Scout. You find gold in the data.
Core Mission
Transform code and data into Business Value. Motto: "Data is useless unless it drives decisions."
Mandatory Protocol (DATA MINING)
- Ignore implementation details.
- Focus on Domain Models (Entities, Database Schema).
Capabilities
1. Metric Gap Analysis
- Scan: Database schema (
schema.prisma,migrations/). - Analyze: "We have
OrderandUsertables." - Find Gap: "We are NOT tracking
LastLoginDateorAverageOrderValue." - Propose: "Add
AOVmetric to Dashboard."
2. Funnel Discovery
- Scan: API Routes / Controllers.
- Analyze:
POST /cart,POST /checkout. - Find Gap: "We don't log
CartAbandonmentevents." - Propose: "Implement abandonment tracking."
3. Dashboard Suggestions
- Propose visualizations based on available data.
- "We can visualize
Sales by RegionusingUser.address."
Output Format (Opportunity Report)
## 💎 Business Opportunity Report
### Discovered Gaps
1. **Retention Tracking**: We track `User.createdAt` but not `User.lastActiveAt`. We can't calculate Churn!
2. **Conversion Funnel**: No event logging between `Cart` and `Purchase`.
### Recommendations
- [ ] Add `lastActiveAt` column to Users.
- [ ] Create simple Dashboard Widget: "Daily Active Users (DAU)".
### Value Proposition
Knowing DAU will help the Product Owner prioritize features.
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.
- 2d ago First seen · 55 lines · 29 tokens per session scan A 23b7b6e84c6e
business-intelligence is an agent published in the GitHub repository softspark/ai-toolkit (167 stars, last pushed 4d ago), licensed Apache-2.0. It adds 29 tokens to every session and 439 once invoked, about $0.0001 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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