BD linkfox-lingxing-erp
LinkFox 包装的领星(Lingxing)ERP 技能「linkfox-lingxing-erp」:由 LinkFox Skills 仓库收录分发,封装领星官方 OpenAPI 文档与脚本用法,底层仍直连 openapi.lingxing.com(非 LinkFox 自建网关)。覆盖约 373 个接口场景,含广告报表 SP/SB/SD、订单与 Listing、库存仓库、财务与 FBA、源表、采购、客服、多平台广告与订单等。当用户提到领星、Lingxing、领星开放接口、领星 ERP 数据、领星广告报表、领星订单/库存/利润、领星 SID、Lingxing OpenAPI、Lingxing ERP data、LinkFox 领星、linkfox-lingxing-erp 时触发。分模块参数见 references/api.md 及各 references/*.md;需 LINGXING_APP_ID 与 LINGXING_APP_SECRET。
As a process D 43/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- 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 · 14
✓ No critical or high findings
Medium and low: 14
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low Secrets in code
secret-high-entropy-tokenreferences/newad-report.md:92High-entropy token-like string (may be an id, hash or a credential)**关键返回字段**: campaign_id, impressions, clicks, cost, attr…14d, attr…14d
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low Dangerous commands
cmd-shell-rcreferences/onboarding.md:13Writes to a shell startup file (quoted — discussed, not commanded)- macOS zsh:`echo 'export LINKFOX_AGENT_API_KEY="<key>"' >> ~/.zshrc && source ~/.zshrc`
quoted -
low Dangerous commands
cmd-shell-rcreferences/onboarding.md:14Writes to a shell startup file (detector / deny-list definition)- Linux bash:`echo 'export LINKFOX_AGENT_API_KEY="<key>"' >> ~/.bashrc && source ~/.bashrc`
detector -
low Secrets in code
secret-high-entropy-tokenreferences/sourcedata.md:278High-entropy token-like string (may be an id, hash or a credential)## v1ge…ist - 查询FBA出货记录V1
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low Secrets in code
secret-high-entropy-tokenreferences/sourcedata.md:288High-entropy token-like string (may be an id, hash or a credential)## v1ge…ist - 查询FBA库存事件明细V1
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low Secrets in code
secret-high-entropy-tokenreferences/statistics.md:335High-entropy token-like string (may be an id, hash or a credential)## plat…tV2 - 查询平台销售统计(V2)
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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 -
low Secrets in code
secret-high-entropy-tokenscripts/onboarding.py:49High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)or "eyJh…iJ9")
quoted -
low Secrets in code
secret-high-entropy-tokenSKILL.md:190High-entropy token-like string (may be an id, hash or a credential)| 其他(14) | MonthRefund, ProfitMsku, ReimbursementList, ReturnOrderAnalysisLists, PurchaseReportBuyerList/ProductList/SupplierList, performanceTrendByHour, operateLogList/V2List, PlatformStatisticsSale
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low Secrets in code
secret-high-entropy-tokenSKILL.md:200High-entropy token-like string (may be an id, hash or a credential)AllOrders, FbaOrders, RefundOrders, Transaction, ManageInventory, DailyInventory, AfnFulfillableQuantity, ReservedInventory, RemovalLists, RemovalOrderListNew, RemovalShipmentList, SourceRemovalOrders
Files scanned: 29. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-no-whendescription does not say WHEN to use the skill (no "use when")
Process rating: all ten parameters 43/100
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Failures and branches. Linear process with no failure handling
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 30Running it twice. 6 mutating operations with no state check
- 60Tools and files. Uses tools (python) that frontmatter does not declare
- 100Steps. 16 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 3541 tokens
- low 10 top-level sections: this looks like several domains in one skill
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)
- +3Output format is not stated: the model decides each time
- -31 of 3 scripts are never mentioned in SKILL.md
- +1No license
- +2Single-language instructions
- +3Description length 429: enough signal without eating the budget
- +4Structure: 32 headings
- +3Step-by-step instructions: 16 items
- +4Has examples (4 code blocks)
- +4Reference files are cited in the instructions (23 of 23)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.