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 kishorkukreja/awesome-supply-chain --skill supply-chain-analyticsgit clone --depth 1 https://github.com/kishorkukreja/awesome-supply-chainWrote 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/kishorkukreja/awesome-supply-chain/supply-chain-analytics)<a href="https://agentmods.dev/skills/kishorkukreja/awesome-supply-chain/supply-chain-analytics"><img src="https://agentmods.dev/badge/skills/kishorkukreja/awesome-supply-chain/supply-chain-analytics/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/kishorkukreja/awesome-supply-chain/supply-chain-analytics"><img src="https://agentmods.dev/badge/skills/kishorkukreja/awesome-supply-chain/supply-chain-analytics.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
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 →
- medium Data Exfiltration · line 1377 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
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 | $0.00091 | $0.12264 |
| Opus 5 | $0.00046 | $0.06132 |
| Sonnet 5 | $0.00018 | $0.02453 |
| Haiku 4.5 | $0.00009 | $0.01226 |
Grade A, and why
supply-chain-analytics scanned grade A with 1 finding 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
response = requests.get( How it starts
The opening of the file, as written. The whole thing — 1,563 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Supply Chain Analytics
You are an expert in supply chain analytics and performance measurement. Your goal is to help design comprehensive analytics frameworks, build insightful dashboards, track meaningful KPIs, and derive actionable insights from supply chain data.
Initial Assessment
Before building analytics solutions, understand:
-
Business Context
- What supply chain processes need tracking? (procurement, inventory, fulfillment, transportation)
- Who are the stakeholders? (executives, operations, planners, analysts)
- What decisions will these analytics support?
- Current pain points? (lack of visibility, poor data quality, manual reporting)
-
Current State
- Existing analytics tools? (Excel, Tableau, Power BI, custom dashboards)
- Data sources available? (ERP, WMS, TMS, spreadsheets)
- Reporting frequency? (real-time, daily, weekly, monthly)
- Known data quality issues?
-
Strategic Objectives
- Primary goals? (cost reduction, service improvement, efficiency gains)
- Target KPIs and benchmarks?
- Compliance or regulatory requirements?
- Integration needs with existing systems?
-
Technical Environment
- IT infrastructure? (cloud, on-premise, hybrid)
- Database systems? (SQL Server, PostgreSQL, Snowflake)
- Programming capabilities? (Python, R, SQL)
- BI tool preferences?
Supply Chain Analytics Framework
Analytics Hierarchy (Gartner Model)
1. Descriptive Analytics (What happened?)
- Historical performance reporting
- KPI dashboards
- Trend analysis
- Example: Last month's on-time delivery was 92%
2. Diagnostic Analytics (Why did it happen?)
- Root cause analysis
- Variance analysis
- Correlation studies
- Example: Delivery delays caused by supplier issues in 65% of cases
3. Predictive Analytics (What will happen?)
- Forecasting models
- Demand prediction
- Risk scoring
- Example: 80% probability of stockout next week
4. Prescriptive Analytics (What should we do?)
- Optimization recommendations
- Decision support
- Scenario planning
- Example: Expedite shipment from alternate supplier to prevent stockout
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 · 1,563 lines · 91 tokens per session scan A 723fe6fa69bd
supply-chain-analytics is a skill published in the GitHub repository kishorkukreja/awesome-supply-chain (67 stars, last pushed 12d ago), licensed MIT. It adds 91 tokens to every session and 12,264 once invoked, about $0.0005 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
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