Agent skill · Audited from source
Supply Chain Optimization Tiktok
skill · nexscope-ai/eCommerce-SkillsMIT licenceAudited 19 Oct 2026 · source 3e6c611584c3
Is it safe? Yes — SAFE, grade B (89/100). We read this skill's source at commit 3e6c611584c3 and found no filesystem, network or shell access and no hard-coded secrets. What it does: Supply Chain Bottleneck Analyzer for TikTok Shop sellers. Diagnose cash flow, inventory turnover, affiliate commissions, and return rates. Includes FBT cost analysis, influencer payout optimization, and viral product…
Cite
Cite this page
ModelsAtlas. “Supply Chain Optimization Tiktok (nexscope-ai/eCommerce-Skills)”. Retrieved 19 Oct 2026. https://modelsatlas.com/skills/nexscope-ai/supply-chain-optimization-tiktok
Trust audit
Audit 0.4.1 · source read 19 Oct 2026
SAFE means nothing in the source contradicts what the skill says it does. Grade B is shared by 13,985 of 14,816 audited skills.
What the source does
- FilesystemNone observedNo reads or writes in the source
- NetworkNone observedNo outbound calls in the source
- ShellNone observedNo commands run in the source
- DependenciesPinnedNothing floats
- SecretsNone foundNo keys in source
Five audit layers
| Layer | What we check | Result | Findings |
|---|---|---|---|
L0 Provenance | Repo owner, licence, archive status, activity | PASS | 0 |
L1 Static source | Secrets, path traversal, supply chain, hidden code | PASS | 0 |
L2 Instructions | Prompt injection, authority framing, hidden directives | PASS | 0 |
L3 Inventory | The files and declarations match the source | PASS | 0 |
L4 Sandbox | Run in isolation and watch behaviour | SKIPPED why | 0 |
Gates applied: no behavioural pass.
Findings (0)
No findings at any severity. We re-audit when the source changes.
Audit 0.4.1 · source sha 3e6c611584c3 · 19 Oct 2026Report an issue or request a re-scan
Provenance
Who published it, and what the verdict is pinned to
- Publishernexscope-ai GitHub organizationOwner of the repository this skill is read from
- Source foldernexscope-ai/eCommerce-Skills/supply-chain-optimization/supply-chain-optimization-tiktokThe exact folder we audited
- LicenceMITAs the repository states it
- Commit pinned for this verdict3e6c611584c3A new audit runs when the source changes
- Repository statusNot archivedLast push 54 days ago
- Sandboxed runNot runSkills are read, not executed; layer L4 is skipped
What it tells the agent
Full source on GitHub ↗Its description: Supply Chain Bottleneck Analyzer for TikTok Shop sellers. Diagnose cash flow, inventory turnover, affiliate commissions, and return rates. Includes FBT cost analysis, influencer payout optimization, and viral product…
---
name: supply-chain-optimization-tiktok
version: 1.0.0
description: "Supply Chain Bottleneck Analyzer for TikTok Shop sellers. Diagnose cash flow, inventory turnover, affiliate commissions, and return rates. Includes FBT cost analysis, influencer payout optimization, and viral product lifecycle management. No API key required for basic analysis."
metadata: {"nexscope":{"emoji":"📦","category":"ecommerce"}}
---
# Supply Chain Optimization — TikTok Shop 📦
Supply chain bottleneck analyzer for TikTok Shop sellers. Diagnose cash flow, inventory, affiliate costs, and return rates.
## Installation
```bash
npx skills add nexscope-ai/eCommerce-Skills --skill supply-chain-optimization-tiktok -g
```
## Platform Characteristics
| Feature | TikTok Shop | vs Amazon |
|---------|-------------|-----------|
| Fulfillment | FBT / Self-ship | FBA |
| Commission | 2-8% (category) + 2% transaction | 8-15% |
| Payment cycle | 7-15 days | 14 days |
| Traffic source | Content-driven | Search-driven |
| Return rate | Higher (impulse buying) | Medium |
## Cost Structure (TikTok Shop)
```
Selling Price $XX
├── Product Cost
├── Inbound Shipping
├── FBT Fulfillment / Self-ship
├── Platform Fee (2%)
├── Referral Fee (2-8%)
├── Affiliate Commission (10-30%) ← TikTok-specific
├── Advertising (Spark Ads)
└── Net Profit
```
## Benchmark Configuration
```python
BENCHMARKS = {
"tiktok": {
"gross_margin": {
"healthy": 0.45, # Need to cover affiliate commission
"warning": 0.35,
"danger": 0.25
},
"shipping_ratio": {
"healthy": 0.05,
"warning": 0.08,
"danger": 0.12
},
"inventory_days": {
"healthy": 30, # TikTok viral cycle is short
"warning": 45,
"danger": 60
},
"cash_cycle": {
"healthy": 60, # Fast payment
"warning": 90,
"danger": 120
},
"net_margin": {
"healthy": 0.15, # After affiliate split
"warning": 0.08,
"danger": 0.03
},
# TikTok-specific metrics
"return_rate": {
"healthy": 0.10, # <10% healthy
"warning": 0.20,
"danger": 0.30
},
"affiliate_ratio": {
"healthy": 0.20, # Affiliate commission ratio
"warning": 0.30,
"danger": 0.40
}
}
}
```
## TikTok-Specific Costs
### Affiliate Commission
```
Livestream selling: 10-30% commission
Short video promotion: 10-25% commission
Top influencers: May require upfront fees
```
### Return Costs
```
TikTok return rates typically higher than traditional e-commerce (impulse buying)
Must account for:
├── Return shipping cost
├── Product damage/loss
└── Restocking fees
```
## Input Data
```
**Sales (TikTok-specific)**
• Average Selling Price: $___
• FBT Fulfillment Fee: $___/unit
• Platform Fee: 2% (fixed)
• Referral Fee: ___%
• Affiliate Commission Rate: ___% (if applicable)
• Spark Ads Spend Ratio: ___%
**Risk (TikTok-specific)**
• Return Rate: ___%
• Return Processing Cost: $___/unit
```
## API Integration
### TikTok Shop API
```bash
export TIKTOK_APP_KEY="xxx"
export TIKTOK_APP_SECRET="xxx"
export TIKTOK_ACCESS_TOKEN="xxx"
```
### Available Data
| Data | API |
|------|-----|
| Orders | Order API |
| Products | Product API |
| Logistics | Logistics API |
| Affiliates | Affiliate API |
## Bottleneck Diagnosis Focus
TikTok Shop-specific bottlenecks:
1. **High affiliate commission** → Profit erosion
2. **High return rate** → Hidden costs
3. **Slow inventory turnover** → Short viral cycle, high stagnation risk
4. **Content dependency** → Unstable traffic
## vs Amazon Comparison
| Item | Amazon | TikTok |
|------|--------|--------|
| Commission | 8-15% | 4-10% |
| Affiliate split | None | 10-30% |
| Payment cycle | 14 days | 7-15 days |
| Return rate | 5-15% | 10-30% |
| Traffic | Stable | Volatile |
| Viral cycle | Long | Short |
---
**Part of [Nexscope AI](https://www.nexscope.ai/?co-from=skill) — AI tools for e-commerce sellers.**Excerpt, first 4,133 characters of SKILL.md, verbatim from the audited commit. It is text from someone else’s repository, quoted so you can judge it before your agent reads it.
Install
Pinned to the audited commit 3e6c611
npx skills add nexscope-ai/eCommerce-Skills --skill supply-chain-optimization-tiktok -g
git clone https://github.com/nexscope-ai/eCommerce-Skills git -C eCommerce-Skills checkout 3e6c611584c3
Commands as the repository documents them: shown, never run by us. Our verdict covers commit 3e6c611584c3 only.
Works in
The author has not said which agents this skill supports, and we have not tested it in any.
Audit history
Every audit, every source change
- ✓SAFE B 89 / 100
first audit · source
3e6c611584c3
README badge
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Questions about Supply Chain Optimization Tiktok
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Sources
- github.com/nexscope-ai/eCommerce-Skills/tree/main/supply-chain-o — the audited source at commit 3e6c611584c3 and every finding aboveObserved · 19 Oct 2026
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