SKILLEMALL.ai

BD 五彩 (WuCai / WuCai Highlight)

五彩 (WuCai) 是 AI Agent 的个人知识库与第二大脑。它允许 AI 检索、总结和管理用户在网页上记录的划线、批注、全文剪藏及个人日记。 核心能力:跨区域语义搜索、时间区间知识追溯 (range lookup)、以及基于划线的精准内容问答。 它是 AI 了解用户兴趣偏好、进行每日知识复盘、以及在网页上下文进行精准问答的关键 Skill。

ClawHub Agent Skills author: nothing v26.3.37 MIT-0 7 files body ≈ 683 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process D 39/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureAI and agentsInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
85/100
safety, quality, tests
Safety 60%
100
Quality 40%
62
Run on models
none yet
Process rating
D
39/100
Unfinished process
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: 7. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)
  • warning description-no-when description does not say WHEN to use the skill (no "use when")

Process rating: all ten parameters 39/100

  • 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. 1 mutating operations with no state check
  • 40Consistency. Frontmatter name (五彩 (WuCai / WuCai Highlight)) differs from the folder (wucai)
  • 60Tools and files. Uses tools (web, python) that frontmatter does not declare
  • 100Steps. 27 steps
  • 100Execution cost. Instruction body is 683 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
  • +4No input/output examples
  • -41 reference files, but SKILL.md never points to them: the model will not open them
  • +1No license
  • +2Single-language instructions
  • +3Description length 175: enough signal without eating the budget
  • +4Structure: 9 headings
  • +3Step-by-step instructions: 27 items
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 62.

External checks

ClawHub: suspicious
This appears to be a legitimate WuCai integration, but it asks the user to share a sensitive token and can read or change private notes and diary data.
LLM: suspicious (medium) · VirusTotal: · 29 May 2026