SKILLEMALL.ai

BC brand-guidelines-zh

品牌规范 / VI手册 / 视觉识别系统 / Brand Guidelines / 品牌形象手册生成器。快速创建Logo使用规范、品牌色彩体系、字体规范、图片风格、品牌语气文案的完整规范文档。适合品牌经理、市场总监、设计主管、创意代理商快速统一品牌形象、提升团队协作效率、降低品牌使用混乱风险。新品牌从零搭建视觉体系,老品牌整理规范档案,一键生成专业可用的企业级品牌手册。常见搜索:品牌规范怎么写、VI手册制作、视觉识别系统搭建、品牌色彩规范、设计规范文档、品牌资产管理、品牌形象统一、企业品牌指南。

ClawHub Agent Skills author: Olina1Ye v1.0.0 MIT-0 2 files body ≈ 265 tokens Open the sourceclawhub.ai analyzed 5 d ago

As a process C 51/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

ReferenceMarketingInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
89/100
safety, quality, tests
Safety 60%
100
Quality 40%
72
Run on models
none yet
Process rating
C
51/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

How to improve

  1. 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: 2. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")

Process rating: all ten parameters 51/100

  • 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. 2 mutating operations with no state check
  • 100Tools and files. No external tools needed
  • 100Steps. 16 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 265 tokens

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 250: enough signal without eating the budget
  • +4Structure: 10 headings
  • +3Step-by-step instructions: 16 items
  • +4Has examples (0 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 72.

External checks

ClawHub: clean
This is a straightforward Chinese brand-guidelines document generator with no code execution, hidden behavior, or sensitive access requests.
LLM: benign (high) · VirusTotal: · 29 May 2026