SKILLEMALL.ai

BD caihongpi-mothers

根据你分享的当妈真实经历/场景,生成走心的夸夸卡片——文字夸奖 + Gemini文生图prompt + 小红书/抖音/快手三平台发布信息。主动触发(求夸/求彩虹屁等)和被动触发(情绪识别+用户确认)双通道。支持5种写作风格、5种输出格式、4种图片风格。不敷衍、不套模板,夸在细节上,让人读了鼻子一酸。生成的文件经用户确认后保存到本地 output 目录。触发词(封闭列表):「求夸」「求彩虹屁」「夸夸我」「需要夸夸」「夸妈妈」「夸一下」「我今天xxx了快夸我」。

ClawHub Agent Skills author: JiaNanHou v1.2.1 MIT-0 6 files body ≈ 5 031 tokens Open the sourceclawhub.ai analyzed 2 d ago

根据你分享的当妈真实经历/场景,生成走心的夸夸卡片——文字夸奖 + Gemini文生图prompt +…

As a process D 47/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureAI and agentsWriting and documentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
84/100
safety, quality, tests
Safety 60%
100
Quality 40%
60
Run on models
none yet
Process rating
D
47/100
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.
  2. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
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: 3. 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 body-long SKILL.md body ≈ 5031 tokens (recommended < 5000); move details to references/

Process rating: all ten parameters 47/100

  • 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
  • 40Consistency. Frontmatter name (caihongpi-mothers) differs from the folder (caihongpi-mother)
  • 70Execution cost. Instruction body is 5031 tokens
  • 100Tools and files. No external tools needed
  • 100Steps. 98 steps
  • 100Running it twice. No mutating operations
  • low 13 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
  • -237 emoji in the instructions: noise for the model
  • +1No license
  • +2Single-language instructions
  • +3Description length 231: enough signal without eating the budget
  • +4Structure: 60 headings
  • +3Step-by-step instructions: 98 items
  • +4Has examples (7 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 60.

External checks

ClawHub: clean
This is a disclosed Chinese-language content-generation skill for parenting praise cards, with local saving only after user confirmation.
LLM: benign (high) · VirusTotal: · 15 Jul 2026