BB linkfoxagent
Cross-border e-commerce AI Agent with 79 specialized tools for Amazon/TikTok/eBay/Walmart/Shopee/Ozon product research, competitor analysis, keyword tracking, review insights, patent deep-dive (claims, legal status, family, citations, figures, translations), trend analysis, 1688 sourcing, AI image generation, image recognition, PDF analysis, real-time web search, historical sales & price trend tracking, and AI-powered Amazon opportunity reports. Amazon Ads SP/SB performance reports are orchestrated via the sibling skill linkfox-amazon-ads-report (scripts); report-type column specs are mirrored in this skill under references/amazon-ads-report-types/; see references/amazon-ads-report.md. Optional packaged workflows: SellerSprite extras in references/seller-sprite.md; Lingxing ERP OpenAPI (linkfox-lingxing-erp, ~373 endpoints, direct openapi.lingxing.com) in references/lingxing-erp.md. Use when: (1) product selection and market analysis, (2) competitor research and ASIN lookup, (3) keyword and traffic analysis, (4) review mining and consumer insights, (5) patent/trademark/copyright detection and deep patent research, (6) Google/TikTok trend research, (7) 1688 supplier sourcing, (8) data aggregation and report generation, (9) cross-platform product search (Amazon/Walmart/eBay/TikTok/Shopee/Ozon), (10) product image analysis, similarity grouping, and image recognition, (11) AI product image generation, (12) PDF file analysis, (13) Amazon opportunity reports, (14) Lingxing ERP data (ads, orders, listings, inventory, finance, FBA, etc.) when user has Lingxing OpenAPI credentials.
As a process B 66/100 · Nearly there — weak spots: inputs and preconditions, running it twice
How to improve
- Shorten the description to 1024 characters.
- The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
- Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
- A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.
Guard findings · 5
✓ No critical or high findings
Medium and low: 5
-
low Secrets in code
secret-high-entropy-tokenscripts/lingxing.py:186High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)"Plat…tV2": "/basicOpen/plat…sV2/saleStat/pageList",
quoted -
low Secrets in code
secret-high-entropy-tokenscripts/lingxing.py:236High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)"v1ge…ist": "/erp/sc/data/mws_…_v1/getAmazonFulfilledShipmentsList",
quoted -
low Secrets in code
secret-high-entropy-tokenscripts/lingxing.py:237High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)"v1ge…ist": "/erp/sc/data/mws_…_v1/getFbaInventoryEventDetailList",
quoted -
low Secrets in code
secret-high-entropy-tokenscripts/lingxing.py:428High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)"Plat…tV2": ("page", "length"),quoted -
low Secrets in code
secret-high-entropy-tokenscripts/lingxing.py:514High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)"Plat…tV2", "ProfitMsku",
quoted
Files scanned: 25. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- error
description-longdescription is 1599 chars, limit 1024 - warning
body-longSKILL.md body ≈ 6277 tokens (recommended < 5000); move details to references/ - note
description-budgetdescription takes 1599 of the ~15000-char shared budget for all skills
Process rating: all ten parameters 66/100
- 0Inputs and preconditions. Does not say what the process needs to start
- 30Running it twice. 4 mutating operations with no state check
- 50When it triggers. No condition that starts the skill
- 60Tools and files. Uses tools (bash, web, python) that frontmatter does not declare
- 60Result and completion. Output format stated, no completion criterion
- 70Execution cost. Instruction body is 6277 tokens
- 100Steps. 46 steps
- 100Failures and branches. 4 branches, has a failure section
- 100Consistency. Name and required fields are in place
- 100Progress reporting. Reports progress
- medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
- low The response is described with custom markup (6 tags): a typed call is more reliable
Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.
Quality signals
- +5Description has no quoted example phrases that should trigger the skill
- +4Description does not say when NOT to use the skill (false activations)
- +3Description length 1599: 120–800 characters recommended
- +1No license
- +2Single-language instructions
- +4Structure: 25 headings
- +3Step-by-step instructions: 46 items
- +3Output format is stated explicitly
- +4Has examples (16 code blocks)
- +4Reference files are cited in the instructions (18 of 19)
- +3All 3 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 53.