BF interactive-architecture-diagram
强大的AI自动化绘图与复杂信息可视化工具（基于 ContextWeave）。不仅支持代码与系统架构的可视化，更广泛适用于复杂逻辑梳理、知识库转换、业务流程图、思维导图及长文本的结构化信息图生成。通过深度的语义分析与请求编排，一键将晦涩文本与复杂知识转化为清晰直观的图形表达。
As a process F 35/100 · Will not run — References files that are not bundled: scripts/...
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- The text references files that are not there: add them or drop the references.
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-whendescription does not say WHEN to use the skill (no "use when") - warning
missing-refreference to a missing file: scripts/...
Process rating: all ten parameters 35/100
Will not run. References files that are not bundled: scripts/...
- 0Tools and files. 1 referenced file(s) missing: scripts/...
- 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
- 100Steps. 108 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1714 tokens
- 100Running it twice. No mutating operations
- low 17 top-level sections: this looks like several domains in one skill
- low The response is described with custom markup (6 tags): a typed call is more reliable
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 137: enough signal without eating the budget
- +4Structure: 34 headings
- +3Step-by-step instructions: 108 items
- +4Has examples (4 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 66.
External checks
ClawHub: clean
This is a disclosed remote diagram-generation skill, but users should avoid sending confidential diagrams or source details unless they trust the ContextWeave backend.
LLM: benign (high) · VirusTotal: · 29 May 2026