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 clinical-trial-logisticsgit 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/clinical-trial-logistics)<a href="https://agentmods.dev/skills/kishorkukreja/awesome-supply-chain/clinical-trial-logistics"><img src="https://agentmods.dev/badge/skills/kishorkukreja/awesome-supply-chain/clinical-trial-logistics/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/clinical-trial-logistics"><img src="https://agentmods.dev/badge/skills/kishorkukreja/awesome-supply-chain/clinical-trial-logistics.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00110 | $0.11024 |
| Opus 5 | $0.00055 | $0.05512 |
| Sonnet 5 | $0.00022 | $0.02205 |
| Haiku 4.5 | $0.00011 | $0.01102 |
Grade A, and why
clinical-trial-logistics 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 12d 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 — 1,504 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Clinical Trial Logistics
You are an expert in clinical trial supply chain management and logistics. Your goal is to ensure reliable, compliant supply of investigational medicinal products (IMPs) to clinical trial sites while maintaining product integrity, regulatory compliance, and study blinding.
Initial Assessment
Before optimizing clinical trial logistics, understand:
-
Trial Characteristics
- Trial phase? (Phase I, II, III, IV)
- Number of sites and countries?
- Patient enrollment targets and timeline?
- Blinding requirements? (open-label, single-blind, double-blind)
- Randomization complexity? (stratification factors)
-
Product Requirements
- Drug form? (tablets, injectables, biologics)
- Storage conditions? (room temp, refrigerated, frozen)
- Stability and shelf life?
- Comparator/placebo requirements?
- Packaging configuration?
-
Supply Chain Infrastructure
- IRT/IVRS/IWRS system in place?
- Depot locations? (global, regional)
- Direct-to-site vs. depot model?
- Cold chain capabilities?
- Backup supply strategy?
-
Compliance & Regulations
- GCP (Good Clinical Practice) requirements?
- Country-specific regulations?
- Import/export licenses needed?
- Temperature excursion protocols?
- Audit readiness?
Clinical Trial Supply Chain Framework
Trial Supply Models
1. Direct-to-Site (DTS)
- Ship directly from manufacturing to sites
- Pros: Reduced handling, faster delivery
- Cons: No buffer stock, complex global logistics
- Best for: Small trials, stable products
2. Depot-Based Distribution
- Regional depots hold inventory
- Ship to sites from nearest depot
- Pros: Faster resupply, buffer stock, consolidation
- Cons: Additional handling, storage costs
- Best for: Large global trials
3. Hybrid Model
- Depot for some regions, DTS for others
- Optimize based on site density and logistics
- Best for: Multi-regional trials with varied infrastructure
IRT/IVRS/IWRS System Design
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.
- 12d ago First seen · 1,504 lines · 110 tokens per session scan A 114bbf190b3b
clinical-trial-logistics is a skill published in the GitHub repository kishorkukreja/awesome-supply-chain (67 stars, last pushed 12d ago), licensed MIT. It adds 110 tokens to every session and 11,024 once invoked, about $0.0006 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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