BC 1688-item-title-optimizer
1688商品标题优化 工具能力：为商品标题添加热词优化（快速、基于规则）和 LLM 深度重写（高质量、自然流畅），支持用户输入偏好。如果用户没有选择想优化标题的商品，技能中可以出组件让用户选择； 触发词：优化标题、标题优化、改标题、重写标题、商品标题、标题改写、分析标题、我要优化标题、标题里哪些词没用、标题里应该加哪些热搜关键词、我的商品标题怎么优化？、我的标题怎么优化？、我要优化商品标题
As a process C 53/100 · Has gaps — 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: 38. 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 53/100
- 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
- 100Tools and files. No external tools needed
- 100Steps. 109 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 3203 tokens
- 100Running it twice. No mutating operations
- low 14 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
- -231 emoji in the instructions: noise for the model
- -36 of 7 scripts are never mentioned in SKILL.md
- +1No license
- +2Single-language instructions
- +3Description length 196: enough signal without eating the budget
- +4Structure: 25 headings
- +3Step-by-step instructions: 109 items
- +4Has examples (9 code blocks)
- +4Reference files are cited in the instructions (1 of 4)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 71.
External checks
ClawHub: suspicious
The skill mostly matches its title-optimization purpose, but it defaults to processing every bound shop and contains conflicting fallback instructions for user title selection.
LLM: suspicious (high) · 4 Sept 2026