SKILLEMALL.ai

AC mermaid-ascii-renderer

使用 beautiful-mermaid 项目将 Mermaid 图表渲染为 ASCII 艺术。提供解析、布局算法和渲染操作的完整实现指南,支持流程图、状态图、序列图、类图和 ER 图表。当用户请求涉及以下场景时使用:(1)beautiful-mermaid 的 ASCII 渲染系统实现;(2)在终端/控制台输出 Mermaid 图表;(3)理解 A* 路径查找、网格布局、边路由等算法;(4)添加新的图表类型支持;(5)调试 ASCII 渲染问题(节点重叠、边穿过、标签位置);(6)修改渲染逻辑或布局策略。

ClawHub Agent Skills author: Joe-rq v1.1.0 MIT-0 11 files body ≈ 802 tokens Open the sourceclawhub.ai analyzed 3 d ago

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

GeneratorInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
76
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: 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")

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. 19 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 802 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 256: enough signal without eating the budget
  • +4Structure: 14 headings
  • +3Step-by-step instructions: 19 items
  • +4Has examples (5 code blocks)
  • +4Reference files are cited in the instructions (8 of 8)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 76.

External checks

ClawHub: clean
This is a documentation-only Mermaid-to-ASCII rendering guide with no hidden execution, credential access, or persistence behavior found.
LLM: benign (high) · VirusTotal: · 29 May 2026