← Back to Skills Marketplace
leooooooow

Dropship Evaluator

by LeroyCreates · GitHub ↗ · v1.1.0 · MIT-0
cross-platform ✓ Security Clean
109
Downloads
0
Stars
0
Active Installs
2
Versions
Install in OpenClaw
/install dropship-evaluator
Description
Evaluate dropshipping product opportunities and supplier reliability by scoring margin potential, shipping times, supplier communication quality, and sample...
README (SKILL.md)

Dropship Evaluator

Score dropshipping product ideas and their suppliers before committing ad budget. This skill helps you reject duds early, prioritize winners, and document supplier evaluations so nothing gets approved on gut feel alone.

Quick Reference

Decision Strong ✅ Acceptable ⚠️ Weak ❌
Gross margin ≥60% after COGS + shipping 45–59% \x3C45%
Supplier response time \x3C4 hours 4–24 hours >24 hours or templated
Shipping time to target market ≤12 days 13–20 days >20 days
Sample quality Matches listing; no defects Minor cosmetic issues Defects, wrong specs, or refused sample
Saturation signal \x3C3 established sellers; no brand dominant 4–8 sellers, none dominant Top seller has 10K+ reviews
Ad angle uniqueness Clear hook not used by existing sellers Slight overlap with existing ads Same angle as top performer
Supplier MOQ / flexibility No MOQ or MOQ ≤20 units MOQ 21–100 units MOQ >100 units

Solves

  1. Gut-feel sourcing — gives numeric scores to replace "I have a good feeling about this"
  2. Surprise quality failures — forces a sample order before ad spend begins
  3. Margin erosion at scale — surfaces hidden costs (returns, processing fees, platform cut) upfront
  4. Supplier ghosting after launch — evaluates communication before you depend on them
  5. Saturation blind spots — checks review counts, ad library, and AliExpress listing ages
  6. Single-supplier risk — flags when no backup supplier exists for a winning product
  7. Shipping complaint spikes — benchmarks expected delivery time against your niche's tolerance

Workflow

Step 1 — Product Idea Screening (5 minutes)

Before sourcing anything, run a quick market filter.

  1. Search the product on AliExpress, CJdropshipping, and Zendrop.
  2. Check the oldest listing date — if the product has been there 5+ years, saturation risk is higher.
  3. Open Meta Ad Library and search the product name. Count active ads, especially those running 90+ days (signals profitability).
  4. Search Amazon for the product. Note the #1 seller's review count. >5,000 reviews = brand moat risk.
  5. Score on three axes: Demand evidence (people are buying), Competition headroom (you can compete), Margin potential (price point allows ≥60% gross margin).

If all three axes are Green, proceed. Two Green, one Yellow = proceed with caution. Any Red = document and skip.

Step 2 — Supplier Shortlist

  1. Find 3–5 potential suppliers on AliExpress, CJ, or Spocket.
  2. For each, note: orders fulfilled, average response time shown, rating, listing age.
  3. Send an inquiry message to each asking: (a) current stock level, (b) typical ship time to [your target country], (c) whether they offer white-label packaging, (d) your projected order volume per month.
  4. Measure response time precisely. Flag any who send copy-paste template responses without answering your questions.
  5. Shortlist the top 2–3 based on response quality and speed.

Step 3 — Cost & Margin Modeling

Fill in the Margin Calculator for each shortlisted supplier:

Cost Item Amount
Product COGS
Shipping to customer
Platform fee (Shopify, WooCommerce)
Payment processing (2.9% + $0.30 avg)
Expected return rate cost (2–5% of GMV)
Ad cost per order (target CPA)
Total cost
Selling price
Net margin

If net margin after ad cost is \x3C15%, the product needs a higher price point or lower COGS before proceeding.

Step 4 — Sample Ordering

  1. Order a sample from your top 2 suppliers. Pay for expedited shipping — you need the result in days, not weeks.
  2. When samples arrive, evaluate against the Sample Quality Checklist (see assets/).
  3. Photograph all sides of the product and packaging.
  4. Note actual delivery time vs. supplier's stated estimate.
  5. Test the product's core function (if applicable).
  6. Compare sample to the supplier's listing photos. Flag any significant discrepancies.

A supplier who refuses to send samples or quotes an unusually high sample price is a red flag.

Step 5 — Supplier Communication Stress Test

Before approving a supplier, simulate a problem:

  1. Email them asking about a "customer complaint" (damaged product scenario).
  2. Ask what their replacement/refund process is.
  3. Ask what happens if a shipment is lost in transit.
  4. Measure response speed and policy clarity.

Suppliers who deflect, blame customers, or take >48 hours to respond to a problem scenario will cause you pain at scale.

Step 6 — Final Scoring & Decision

Score each supplier across 7 dimensions (1–5 scale each):

  1. Gross margin potential
  2. Supplier response quality
  3. Shipping speed to market
  4. Sample quality
  5. Market saturation level (inverted — low saturation = high score)
  6. Ad angle uniqueness
  7. Supplier flexibility / backup availability

Total possible: 35 points.

  • 28–35: Proceed with confidence
  • 21–27: Proceed with mitigation plan
  • \x3C21: Skip or renegotiate

Step 7 — Documentation & Launch Brief

Document the evaluation in the Output Template so your team or VA knows exactly what was decided and why. Include: winning supplier, backup supplier, agreed pricing, expected margins, launch ad angle, and who approved it.

Worked Examples

Example A — Posture Corrector (Approved, Score: 30/35)

Product: Adjustable posture corrector brace
Target market: US
Selling price: $34.99

Market check: 12 active Meta ads (4 running 90+ days). Amazon #1 seller has 3,200 reviews (manageable). Multiple angles available (back pain, desk workers, athletes).

Suppliers evaluated: 3 (AliExpress × 2, CJ × 1)
Winner: CJ supplier — responded in 2 hours, answered all 4 questions, offered custom packaging.

Margin model:

  • COGS: $6.20
  • Shipping to US: $4.80
  • Platform + payment: $1.60
  • Returns (3%): $1.05
  • Target CPA: $12.00
  • Total cost: $25.65
  • Net margin: $9.34 (26.7%)

Sample result: Arrived in 9 days. Build quality matched listing. Minor logo placement issue — supplier fixed on request.

Decision: Approved. Launch with "desk worker" angle. Primary supplier: CJ. Backup: AliExpress supplier B.


Example B — Magnetic Eyelashes (Rejected, Score: 17/35)

Product: Magnetic false eyelash kit
Target market: UK
Proposed selling price: £19.99

Market check: 40+ active Meta ads, many running 180+ days. Saturated angle. Amazon has 3 sellers each with >8,000 reviews.

Supplier check: All 3 suppliers responded within 6 hours (good), but COGS was £5.50 + £6.20 shipping to UK.

Margin model:

  • COGS + shipping: £11.70
  • Platform + payment: £0.90
  • Returns (8% — high for cosmetics): £1.60
  • Target CPA: £9.00
  • Total cost: £23.20
  • Revenue: £19.99
  • Net margin: –£3.21 (negative)

Decision: Rejected. Margin is negative even before returns. Market too saturated for price increases to work.

Common Mistakes

  1. Skipping the sample step — "the listing photos look good" is not due diligence. Samples surface packaging quality, actual dimensions, and delivery reality.

  2. Modeling margin without ad cost — gross margin looks great until you add a $15 CPA and realize you're losing money.

  3. Using only one supplier source — AliExpress only means you miss CJ, Zendrop, and local 3PLs that often have better margins or faster shipping.

  4. Ignoring review velocity, not just count — a product with 500 reviews but 50 added in the last 30 days is heating up. High velocity = increasing competition.

  5. Approving a supplier based on chat, not sample — supplier communication might be excellent but their fulfillment centre ships wrong SKUs or mismatches variants.

  6. Forgetting return rate by category — electronics and clothing return rates are 2–3× higher than home goods. Not adjusting for this ruins margin models.

  7. Not testing the stress scenario — suppliers who handle problem resolution poorly destroy your customer reviews, not theirs.

  8. Locking into one shipping method — ePacket, YunExpress, and DHL have wildly different prices and timelines. Model the method your supplier actually uses, not their fastest option.

  9. Evaluating in isolation — check that your winning angle isn't already being used by a competitor with a larger ad budget. Search Meta Ad Library by creative theme, not just product name.

  10. No backup supplier on file — when your primary supplier goes out of stock or raises prices after you've scaled, having a pre-evaluated backup saves the product.

Resources

Usage Guidance
This skill is an offline playbook (templates, checklists, and instructions) for vetting dropship products and suppliers and appears coherent with its purpose. Before using it: (1) be aware the stress-test step recommends simulating a customer complaint — consider legal/ethical implications and platform policies before doing this; (2) the workflow references third‑party paid research tools (Minea, AdSpy) and public platforms — expect subscription costs and check their terms; (3) do not move negotiations off-platform or share your payment/account credentials with unknown suppliers; prefer documented quotes and payment methods that allow dispute resolution; (4) keep audit trails of supplier replies and sample receipts; and (5) if you want the agent to perform web scraping or automated queries, that would require added code/permissions — this skill does not include any automation, so any automated data collection should be evaluated separately for TOS compliance.
Capability Analysis
Type: OpenClaw Skill Name: dropship-evaluator Version: 1.1.0 The 'Dropship Evaluator' skill bundle is a purely instructional set of documents designed to guide an AI agent through market research and supplier vetting. It contains no executable code, shell commands, or network-exfiltration logic. The instructions in SKILL.md and the associated reference guides (e.g., supplier-evaluation-guide.md, margin-calculator-guide.md) are strictly aligned with the stated purpose of business analysis and do not contain any malicious prompt-injection attempts or requests for sensitive system data.
Capability Tags
cryptocan-make-purchases
Capability Assessment
Purpose & Capability
Name and description match the provided materials (templates, checklists, supplier guides, margin model). The skill requests no unrelated binaries, credentials, or system access — everything in the bundle is proportionate to evaluating products and suppliers.
Instruction Scope
SKILL.md directs the agent to research marketplaces (AliExpress, CJ, Zendrop, Amazon), Meta Ad Library and ad-research tools, message suppliers, order samples, and simulate a customer complaint to test responses. Those actions are within the stated scope of vetting suppliers, but the 'stress test' (simulating a complaint) can have ethical/legal implications in some jurisdictions and platforms; the guide also assumes use of third-party ad-research tools (Minea, AdSpy) which may be paid or subject to terms of service.
Install Mechanism
No install spec and no code files — this is an instruction-only skill. No downloads, extracted archives, or package installs are present, so there is minimal technical installation risk.
Credentials
The skill declares no required environment variables, credentials, or config paths and its instructions do not ask the agent to read local secrets or system config. External services referenced are public marketplaces and ad tools appropriate to the domain.
Persistence & Privilege
always:false and the skill has no install actions or system modifications; it does not request persistent privileges or modify other skills' configs. Autonomous invocation is allowed (platform default) but not elevated by the skill itself.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install dropship-evaluator
  3. After installation, invoke the skill by name or use /dropship-evaluator
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.1.0
**Overview:** Version 1.1.0 introduces comprehensive documentation, with guides and checklists for evaluating dropshipping product and supplier opportunities. - Added a step-by-step evaluation workflow and reference checklists for product idea screening, supplier vetting, cost modeling, sample review, and risk management. - Introduced dedicated reference documents: margin calculator guide, sample quality checklist, supplier evaluation guide, and output report template. - Expanded product/supplier scoring criteria for more rigorous, evidence-based decision-making. - Provides actionable thresholds for key metrics (margin, shipping, sample quality, and supplier response time). - Includes detailed worked examples for both approved and rejected products to illustrate best practices.
v1.0.0
Initial release.
Metadata
Slug dropship-evaluator
Version 1.1.0
License MIT-0
All-time Installs 0
Active Installs 0
Total Versions 2
Frequently Asked Questions

What is Dropship Evaluator?

Evaluate dropshipping product opportunities and supplier reliability by scoring margin potential, shipping times, supplier communication quality, and sample... It is an AI Agent Skill for Claude Code / OpenClaw, with 109 downloads so far.

How do I install Dropship Evaluator?

Run "/install dropship-evaluator" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Dropship Evaluator free?

Yes, Dropship Evaluator is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Dropship Evaluator support?

Dropship Evaluator is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Dropship Evaluator?

It is built and maintained by LeroyCreates (@leooooooow); the current version is v1.1.0.

💬 Comments