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AC bricklayer-assistant

AI瓦匠全流程助手。覆盖材料计算→砂浆配比速查→报价参考→瓷砖排版→施工工艺指南→质量诊断→验收自检→安全须知8大模块。支持砌墙/抹灰/贴砖/防水/地面找平等多场景，自动计算砖块水泥砂用量，生成交互式HTML可视化报告。触发词：瓦匠,瓦工,泥瓦工,砌墙,贴砖,瓷砖,砂浆配比,水泥用量,瓷砖排版,空鼓,抹灰,防水,勾缝,砌筑,bricklayer,mason,masonry,tile,砖块计算,瓷砖计算,瓦工报价,砌筑报价

ClawHub Agent Skills author: bettermen v1.0.3 MIT-0 11 files body ≈ 1 259 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

AI瓦匠全流程助手。覆盖材料计算→砂浆配比速查→报价参考→瓷砖排版→施工工艺指南→质量诊断→验收自检→安全须知8大模块。支持砌墙/抹灰/贴砖/防水/地面找平等多场景，自动计算砖块水泥砂用量，生成交互式HTML可视化报告。触发词：瓦匠…

As a process C 59/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

Proceduretype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
A
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
74
Run on models
none yet
Process rating
C
59/100
Has gaps
Inputs and preconditions w 11
0
Failures and branches w 10
0
Progress reporting w 2
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: 11. 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 "triggers"
  • note frontmatter-key unknown frontmatter key "agent_created"

Process rating: all ten parameters 59/100

  • 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
  • 40Result and completion. Does not say what the result is
  • 100Tools and files. No external tools needed
  • 100Steps. 64 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1259 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
  • +1No license
  • +2Single-language instructions
  • +3Description length 212: enough signal without eating the budget
  • +4Structure: 18 headings
  • +3Step-by-step instructions: 64 items
  • +4Has examples (2 code blocks)
  • +4Reference files are cited in the instructions (8 of 8)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 74.

External checks

ClawHub: clean
This is a masonry helper with disclosed local calculation and reference guidance, with no evidence of hidden data collection, persistence, or destructive behavior.
LLM: benign (high) · VirusTotal: · 10 Jul 2026