SKILLEMALL.ai

BC tattoo-design-guide

AI纹身设计全维度指南。覆盖9大纹身风格详解(Old School/New School/日式传统/水墨/写实/黑白/水彩/几何/Fineline)、身体部位智能匹配(疼痛指数+风格推荐+变形风险评估)、纹身师选择指南(按风格匹配+红绿灯信号检查)、卫生安全标准(术前检查+禁忌筛查)、术后护理全流程(3阶段愈合指导)、遮盖与修改策略(分级评估+方案推荐)。基于用户需求生成交互式HTML可视化设计咨询报告,含风格雷达图、部位疼痛热力图、设计推荐卡和完整检查清单。该技能应在用户讨论纹身设计、纹身风格选择、纹身部位推荐、纹身安全护理、遮盖修改咨询时使用。

ClawHub Agent Skills author: bettermen v1.0.0 MIT-0 6 files body ≈ 951 tokens Open the sourceclawhub.ai analyzed 3 d ago

AI纹身设计全维度指南。覆盖9大纹身风格详解(Old School/New…

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

ProcedureData and analyticsAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
88/100
safety, quality, tests
Safety 60%
100
Quality 40%
71
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: 6. 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")
  • note frontmatter-key unknown frontmatter key "agent_created"

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. 80 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 951 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

  • +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
  • +1No license
  • +2Single-language instructions
  • +3Description length 277: enough signal without eating the budget
  • +4Structure: 17 headings
  • +3Step-by-step instructions: 80 items
  • +4Reference files are cited in the instructions (3 of 3)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 71.

External checks

ClawHub: clean
This is a coherent tattoo advice and report-generation skill, with ordinary caution needed for localized safety advice and a third-party chart script in generated HTML reports.
LLM: benign (high) · VirusTotal: · 21 Jun 2026