BD linkfox-echotik-list-new-product-rank
通过EchoTik新品排行数据，发现TikTok Shop 16个区域市场的热门新品。当用户提到TikTok新品排行、TikTok热销商品、TikTok Shop爆品、短视频电商选品、TikTok新品发掘、跨境TikTok选品、TikTok new product rankings, TikTok bestsellers, short-video product selection, TikTok viral products, new product ranking, TikTok product trends时触发此技能。即使用户未明确提及"EchoTik"或"新品排行"，只要其需求涉及发现TikTok Shop上的热卖新品或新兴商品趋势，也应触发此技能。
通过EchoTik新品排行数据，发现TikTok Shop 16个区域市场的热门新品。当用户提到TikTok新品排行、TikTok热销商品、TikTok Shop爆品、短视频电商选品、TikTok新品发掘、跨境TikTok选品、TikTok new product rankings, TikTok…
As a process D 46/100 · 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 · 0
✓ No critical or high findings
Files scanned: 1. 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 46/100
- 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
- 60Tools and files. Uses tools (python) that frontmatter does not declare
- 100Steps. 29 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 2040 tokens
- 100Running it twice. No mutating operations
- low 11 top-level sections: this looks like several domains in one skill
- low The response is described with custom markup (7 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)
- +3Output format is not stated: the model decides each time
- -31 of 2 scripts are never mentioned in SKILL.md
- +1No license
- +2Single-language instructions
- +3Description length 334: enough signal without eating the budget
- +4Structure: 13 headings
- +3Step-by-step instructions: 29 items
- +4Has examples (4 code blocks)
- +4Reference files are cited in the instructions (2 of 2)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.