BF linkfox-tiktok-shop-fulfillment
TikTok Shop ERP 履约（Fulfillment）业务技能，经 /tiktokShop/developerProxy（appType=erp）转发 Fulfillment Open API：查询订单拆单属性（Get Order Split Attributes）。依赖 linkfox-tiktok-shop-auth 选店（传 openId；token 后台化，勿手动 refresh）。当用户提到 TikTok 小店拆单、订单能否拆分、拆单属性、must_split、can_split、Get Order Split Attributes、split_attributes、订单拆包裹、TikTok Shop fulfillment split 时触发。**不含授权**（用 linkfox-tiktok-shop-auth）；**不含订单列表/详情**（用 linkfox-tiktok-shop-order）；发货/包裹后续可继续扩展本 skill。
TikTok Shop ERP 履约（Fulfillment）业务技能，经 /tiktokShop/developerProxy（appType=erp）转发 Fulfillment Open API：查询订单拆单属性（Get Order Split Attributes）。依赖…
As a process F 43/100 · Will not run — References files that are not bundled: references/apis/<api>.md
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- The text references files that are not there: add them or drop the references.
- 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 · 0
✓ No critical or high findings
Files scanned: 2. 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") - warning
missing-refreference to a missing file: references/apis/<api>.md
Process rating: all ten parameters 43/100
- 0Tools and files. 1 referenced file(s) missing: references/apis/<api>.md
- 0Result and completion. Does not say what the result is
- 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
- 70Inputs and preconditions. Inputs and preconditions are listed
- 100Steps. 14 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 722 tokens
- 100Running it twice. No mutating operations
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
- +1No license
- +2Single-language instructions
- +3Description length 436: enough signal without eating the budget
- +4Structure: 9 headings
- +3Step-by-step instructions: 14 items
- +4Has examples (2 code blocks)
- +4Reference files are cited in the instructions (1 of 1)
- +3All 8 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.