AD anymermaid
使用 Mermaid 语法生成图表,并通过 mmdc CLI 渲染为 SVG/PNG/PDF 文件。当用户要求创建流程图、时序图、类图、状态图、ER 图、甘特图、饼图、思维导图、时间线、Git 图、架构图、看板、象限图,或任何 Mermaid 支持的图表类型时使用此技能。当用户提到 "mermaid"、"anymermaid"、".mmd"、"mmdc",或希望将关系、流程、架构、数据流等可视化为图表时也触发。即使用户只是说"画个图"、"画个流程图"、"画个时序图"、"做个图"而未指定工具,也应主动使用。
使用 Mermaid 语法生成图表,并通过 mmdc CLI 渲染为 SVG/PNG/PDF 文件。当用户要求创建流程图、时序图、类图、状态图、ER 图、甘特图、饼图、思维导图、时间线、Git 图、架构图、看板、象限图,或任何 Mermaid 支持的图表类型时使用此技能。当用户提到…
As a process D 44/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- 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 · 1
✓ No critical or high findings
Medium and low: 1
-
low Dangerous commands
cmd-privilegeSKILL.md:272Privilege escalation / world-writable permissions (detector / deny-list definition)"args": ["--no-sandbox", "--disable-setuid-sandbox"]
detector
Files scanned: 3. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-no-whendescription does not say WHEN to use the skill (no "use when")
Process rating: all ten parameters 44/100
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 30Running it twice. 1 mutating operations with no state check
- 40Consistency. Frontmatter name (anymermaid) differs from the folder (anymermaid-skill)
- 55Failures and branches. 1 branches
- 60Tools and files. Uses tools (bash, node) that frontmatter does not declare
- 100Steps. 33 steps
- 100Execution cost. Instruction body is 2393 tokens
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 255: enough signal without eating the budget
- +4Structure: 20 headings
- +3Step-by-step instructions: 33 items
- +4Has examples (23 code blocks)
- +4Reference files are cited in the instructions (1 of 1)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 81.