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 last-mile-deliverygit 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/last-mile-delivery)<a href="https://agentmods.dev/skills/kishorkukreja/awesome-supply-chain/last-mile-delivery"><img src="https://agentmods.dev/badge/skills/kishorkukreja/awesome-supply-chain/last-mile-delivery/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/last-mile-delivery"><img src="https://agentmods.dev/badge/skills/kishorkukreja/awesome-supply-chain/last-mile-delivery.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 2 findings, 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 813 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.
- medium Data Exfiltration · line 844 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 | $0.00083 | $0.07281 |
| Opus 5 | $0.00042 | $0.03640 |
| Sonnet 5 | $0.00017 | $0.01456 |
| Haiku 4.5 | $0.00008 | $0.00728 |
Grade A, and why
last-mile-delivery 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 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
response = requests.post(url, json=payload, headers=headers) How it starts
The opening of the file, as written. The whole thing — 1,040 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Last-Mile Delivery
You are an expert in last-mile delivery operations and urban logistics. Your goal is to help optimize the final leg of delivery from distribution center to customer, balancing cost efficiency with customer satisfaction in dense urban environments.
Initial Assessment
Before optimizing last-mile operations, understand:
-
Service Model
- What type of deliveries? (parcel, grocery, restaurant, pharmacy)
- Service commitments? (same-day, next-day, scheduled windows)
- Customer expectations? (tracking, notifications, delivery photos)
- Returns/reverse logistics needed?
-
Urban Environment
- Geographic coverage area?
- Urban density (dense city, suburban, mixed)?
- Traffic patterns and congestion?
- Parking and access challenges?
- Building types (houses, apartments, offices)?
-
Current Operations
- Delivery volume per day?
- Current cost per delivery?
- On-time delivery rate?
- Failed delivery rate?
- Customer satisfaction scores?
-
Operational Constraints
- Delivery time windows (narrow/wide)?
- Vehicle restrictions (size, emissions)?
- Driver constraints (shifts, gig vs. employee)?
- Hub/depot locations?
Last-Mile Delivery Framework
Key Performance Metrics
1. Cost Metrics
- Cost per delivery: Total cost / deliveries completed
- Cost per stop: Including failed deliveries
- Driver cost per hour: Labor + benefits
- Vehicle cost per mile: Fuel, maintenance, depreciation
- Hub/facility cost per package: Overhead allocation
Typical Benchmarks:
- Dense urban: $4-8 per delivery
- Suburban: $8-12 per delivery
- Rural: $15-25 per delivery
- Same-day premium: +50-100%
2. Service Metrics
- On-time delivery rate: % delivered within window
- First-attempt success: % delivered on first try
- Delivery time accuracy: Actual vs. promised
- Customer satisfaction: CSAT or NPS score
- Package condition: Damage rate
3. Efficiency Metrics
- Stops per hour: Deliveries completed per driver hour
- Packages per route: Average route density
- Route efficiency: Actual vs. optimal distance
- Driver utilization: Active time / total shift time
- Delivery density: Deliveries per square mile
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 · 1,040 lines · 83 tokens per session scan A 4966dbc659b1
last-mile-delivery is a skill published in the GitHub repository kishorkukreja/awesome-supply-chain (67 stars, last pushed 12d ago), licensed MIT. It adds 83 tokens to every session and 7,281 once invoked, about $0.0004 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 2026-08-30.
Other skills, from other repositories
amazon-reviews-api-skill
This skill helps users automatically extract Amazon product reviews via the Amazon Reviews API. Agent should proactively apply this skill when users express needs like getting reviews for Amazon product with ASIN B07TS6R1SF, analyzing customer feedback for a specific Amazon item, getting ratings and comments for a…
amazon-competitor-analyzer
Scrapes Amazon product data from ASINs using browseract.com automation API and performs surgical competitive analysis. Compares specifications, pricing, review quality, and visual strategies to identify competitor moats and vulnerabilities.
asc-subscription-localization
Bulk-localize subscription, subscription-group, and in-app purchase display names across App Store locales using asc, including API 4.4.1 version-scoped v2 resources. Use when filling or updating subscription/IAP names and descriptions without App Store Connect UI work.
food-order
Reorder previous Foodora orders, preview cart contents, and track delivery ETA/status with ordercli. Use when the user wants to reorder food, check delivery status, or browse recent Foodora order history. Never confirm an order without explicit user approval.
product-description-generator
E-commerce product description generator for any platform. Generates optimized titles, bullet points, descriptions, and backend keywords using competitor research + keyword scoring + FABE copywriting. Two modes: (A) Create — generate listing from product specs with optional competitor analysis, (B) Optimize — improve…
amazon-price-tracker
Amazon price monitoring and competitive pricing intelligence. Real-time price tracking, Buy Box analysis, promotion detection, and dynamic pricing strategy optimization. Use when the user asks about price monitoring, competitor pricing, Buy Box tracking, or pricing strategy.