SKILLEMALL.ai

AC child-cognitive-growth-observer

孩子认知成长观察库 — 仅当用户明确表达"记录孩子认知成长"、"建立认知档案"、"分析孩子思维方式"等明确意图时触发。不响应一般性的育儿话题、儿童教育讨论或日常聊天。专注于记录孩子的原始表达、思考方式、行为选择与认知变化,仅作为个人笔记辅助工具使用。

ClawHub Agent Skills author: Kelsey Hsiao v1.0.2 MIT-0 2 files body ≈ 995 tokens Open the sourceclawhub.ai analyzed 16 h ago

孩子认知成长观察库 — 仅当用户明确表达"记录孩子认知成长"、"建立认知档案"、"分析孩子思维方式"等明确意图时触发。不响应一般性的育儿话题、儿童教育讨论或日常聊天。专注于记录孩子的原始表达、思考方式、行为选择与认知变化,仅作为个人笔记辅助工具使用。

As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

Proceduretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
91/100
safety, quality, tests
Safety 60%
100
Quality 40%
77
Run on models
none yet
Process rating
C
53/100
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 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. 105 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 995 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

  • +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
  • +5Description quotes 3 example trigger phrases
  • +3Description length 125: enough signal without eating the budget
  • +4Structure: 24 headings
  • +3Step-by-step instructions: 105 items
  • +4Has examples (6 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 77.

External checks

ClawHub: clean
This skill is a local note-taking template for observing a child’s cognitive growth, with clear privacy cautions and no executable or network behavior found.
LLM: benign (high) · VirusTotal: · 9 Jun 2026