BD star-engine
星擎 StarEngine 是一站式达人带货智能引擎，直连巨量百应 API，支持达人智能匹配（S/A/B/C分级）、活动商品数据分析（GMV/ROI/转化率）、FABE直播脚本一键生成、多渠道宣传内容创作（朋友圈/社群/短视频文案）。帮助招商团队筛选效率提升90%，直播准备时间节省80%，数据分析100%自动化。亿玛AI大赛参赛作品。
星擎 StarEngine 是一站式达人带货智能引擎，直连巨量百应…
As a process D 41/100 · 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.
For the model run — optional
- 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: 4. 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 41/100
- 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
- 40Consistency. Frontmatter name (star-engine) differs from the folder (staring)
- 50Steps. 2 steps
- 100Tools and files. No external tools needed
- 100Execution cost. Instruction body is 739 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)
- +3No numbered steps or checklist
- +3Output format is not stated: the model decides each time
- -258 emoji in the instructions: noise for the model
- +1No license
- +2Single-language instructions
- +3Description length 168: enough signal without eating the budget
- +4Structure: 14 headings
- +4Has examples (3 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 67.
External checks
ClawHub: clean
This skill is a coherent marketing and commerce analytics assistant, with a disclosed but under-documented local cache behavior users should understand before use.
LLM: benign (high) · VirusTotal: · 17 Jun 2026