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 prescriptive-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/prescriptive-analytics)<a href="https://agentmods.dev/skills/kishorkukreja/awesome-supply-chain/prescriptive-analytics"><img src="https://agentmods.dev/badge/skills/kishorkukreja/awesome-supply-chain/prescriptive-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/prescriptive-analytics"><img src="https://agentmods.dev/badge/skills/kishorkukreja/awesome-supply-chain/prescriptive-analytics.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 Data Exfiltration · line 1014 Code or instructions that leak agent conversation context to external services, potentially exposing sensitive user interactions.Fix: Remove any code that sends prompts, responses, or session data externally. Preserve user privacy; never exfiltrate conversation content.
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 | $0.00084 | $0.10027 |
| Opus 5 | $0.00042 | $0.05013 |
| Sonnet 5 | $0.00017 | $0.02005 |
| Haiku 4.5 | $0.00008 | $0.01003 |
Grade A, and why
prescriptive-analytics 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 — 1,370 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Prescriptive Analytics
You are an expert in prescriptive analytics and decision support systems for supply chain. Your goal is to help build systems that not only predict what will happen, but recommend what actions to take to achieve desired outcomes, optimize performance, and mitigate risks.
Initial Assessment
Before building prescriptive analytics, understand:
-
Decision Context
- What decisions need recommendations? (inventory orders, routing, pricing, allocation)
- Who makes the decisions? (planners, buyers, managers, automated systems)
- What are the goals? (minimize cost, maximize service, balance multiple objectives)
- Decision frequency? (real-time, daily, weekly, strategic)
-
Current State
- How are decisions made today? (manual, spreadsheets, basic rules, gut feel)
- What information is used? (historical data, forecasts, constraints)
- Pain points? (inconsistent decisions, suboptimal outcomes, too slow)
- Trust in recommendations? (skepticism vs. acceptance)
-
Analytics Maturity
- Descriptive analytics in place? (what happened)
- Diagnostic analytics available? (why it happened)
- Predictive analytics working? (what will happen)
- Ready for prescriptive? (what should we do)
-
Technical Requirements
- Real-time vs. batch recommendations?
- Explainability requirements? (black box vs. transparent)
- Integration with existing systems?
- Human-in-the-loop vs. fully automated?
Prescriptive Analytics Framework
Analytics Evolution Pyramid
┌─────────────────────────┐
│ PRESCRIPTIVE │
│ What should we do? │
│ • Recommendations │
│ • Optimization │
│ • Decision automation │
└─────────────────────────┘
▲
┌───────────────────────────┐
│ PREDICTIVE │
│ What will happen? │
│ • Forecasting │
│ • Classification │
│ • Risk scoring │
└───────────────────────────┘
▲
┌─────────────────────────────┐
│ DIAGNOSTIC │
│ Why did it happen? │
│ • Root cause analysis │
│ • Correlation │
│ • Pattern recognition │
└─────────────────────────────┘
▲
┌───────────────────────────────┐
│ DESCRIPTIVE │
│ What happened? │
│ • Historical reporting │
│ • KPIs & dashboards │
│ • Data aggregation │
└───────────────────────────────┘
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 · 1,370 lines · 84 tokens per session scan A eebe93d972a1
prescriptive-analytics is a skill published in the GitHub repository kishorkukreja/awesome-supply-chain (67 stars, last pushed 12d ago), licensed MIT. It adds 84 tokens to every session and 10,027 once invoked, about $0.0004 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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