AD edrawmind-mindmap
凡是涉及思维导图的任务均使用此技能，包括：创建、生成、或将内容转换为思维导图。具体场景包括：从 Markdown 文档、代码架构、需求文档或任意结构化文本生成思维导图；根据用户描述的主题或大纲创建思维导图；生成 .emmx 文件和缩略图预览。当用户提到"思维导图"、"脑图"、"mindmap"、"mind map"、"导图"，或希望将层级/结构化信息可视化为树状图时，即触发此技能。
As a process D 46/100 · 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.
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: 7. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
frontmatter-yamlSKILL.md: the frontmatter is not valid YAML (YAML parse error: Unexpected scalar at node end at line 2, column 142: …描述的主题或大纲创建思维导图；生成 .emmx 文件和缩略图预览。当用户提到"思维导图"、"脑图"、"mindmap"、"mind map"、"导图"，或希… ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ ); fields were read line by line. The usual cause is a colon inside an unquoted value - warning
description-no-whendescription does not say WHEN to use the skill (no "use when")
Process rating: all ten parameters 46/100
- 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
- 60Tools and files. Uses tools (python) that frontmatter does not declare
- 100Steps. 58 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1035 tokens
- 100Running it twice. No mutating operations
- low 10 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
- +4Description does not say when NOT to use the skill (false activations)
- +3Output format is not stated: the model decides each time
- +2Single-language instructions
- +5Description quotes 2 example trigger phrases
- +3Description length 192: enough signal without eating the budget
- +4Structure: 14 headings
- +3Step-by-step instructions: 58 items
- +4Has examples (2 code blocks)
- +4Reference files are cited in the instructions (3 of 3)
- +3All 1 scripts are documented
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 75.
External checks
ClawHub: clean
This skill appears to be a legitimate EdrawMind mind-map generator, with the main caution that provided content is uploaded to EdrawMind's online API.
LLM: benign (high) · VirusTotal: benign · 28 May 2026