SKILLEMALL.ai

CF design-brand-identities

为组织、产品、服务、场所、文化项目或个人创建、编辑、扩展、迁移或诊断品牌识别,交付一组以假乱真的品牌示例(官网首屏、门店、包装、名片、社媒等最终效果)和一个示例级品牌工具包文件夹(标志方向、色表、字体建议、图像调子、信息要素、参考设计、指南),让用户直接看到品牌做出来是什么样。用于名称与字标、图形标、核心识别、应用系统、品牌架构、焕新迁移与动态身份;强调最小系统、一致性与真实感。不用于单个功能图标、完整字体工程、一次性营销画面或把精致网页当作品牌本身。

EverMind-AI/Raven Agent Skills author: EverMind-AI Apache-2.0 7 files body ≈ 3 365 tokens Open the sourcegithub.com↗ analyzed 5 d ago

为组织、产品、服务、场所、文化项目或个人创建、编辑、扩展、迁移或诊断品牌识别,交付一组以假乱真的品牌示例(官网首屏、门店、包装、名片、社媒等最终效果)和一个示例级品牌工具包文件夹(标志方向、色表、字体建议、图像调子、信息要素、参考设计、指南),让用户直接看到品牌做出来是什么样。用于名称与字标、图形标、核心识别、应用系…

As a process F 33/100 · No process to follow — References files that are not bundled: references/brand-examples/page-1.jpg, references/brand-kits/page-1.jpg, references/svg-and-vector.md

ProcedureMarketingtype and topics are labelled automatically from the skill text
JSON
Technical rating
C
86/100
safety, quality, tests
Safety 60%
100
Quality 40%
64
Run on models
none yet
Process rating
F
33/100
No process to follow
References files that are not bundled: references/brand-examples/page-1.jpg, references/brand-kits/page-1.jpg, references/svg-and-vector.md
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
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.
  2. The text references files that are not there: add them or drop the references.
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: 7. 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")
  • warning missing-ref reference to a missing file: references/brand-examples/page-1.jpg
  • warning missing-ref reference to a missing file: references/brand-kits/page-1.jpg
  • warning missing-ref reference to a missing file: references/svg-and-vector.md
  • warning missing-ref reference to a missing file: assets/generated/

Process rating: all ten parameters 33/100

Will not run. References files that are not bundled: references/brand-examples/page-1.jpg, references/brand-kits/page-1.jpg, references/svg-and-vector.md
  • 0Tools and files. 4 referenced file(s) missing: references/brand-examples/page-1.jpg, references/brand-kits/page-1.jpg, references/svg-and-vector.md
  • 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. 3 mutating operations with no state check
  • 100Steps. 54 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 3365 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 228: enough signal without eating the budget
  • +4Structure: 19 headings
  • +3Step-by-step instructions: 54 items
  • +4Has examples (5 code blocks)
  • +4Reference files are cited in the instructions (4 of 4)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 64.