BD visual-rag-design
自动生成设计海报/图片。当用户提出设计需求（如「帮我做个促销海报」「做一张活动通知图」「生成一张小红书封面」）时使用此技能。通过 visual-rag MCP 服务直接生成 PNG 图片，图片实时返回对话，无需管理文件或服务。
As a process D 49/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
What is at stake
Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.
Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.
The instructions or scripts send data out: environment variables, keys, file contents, chat history. You may never notice, because the agent performs the upload as "part of the task".
If the upload is not needed for the task, remove it: catalogs flag such skills and delist them. If it is needed, name the destination explicitly, say what leaves the machine, and give the user a switch.
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 · 2
✓ No critical or high findings
Medium and low: 2
-
medium Exfiltration
exfil-webhook-urlSKILL.md:10Webhook / callback URL commonly used for exfiltration (verify the destination) (quoted — discussed, not commanded)MCP 服务地址：`https://syncopated-retractively-anitra.ngrok-free.dev/mcp`
quoted -
low Exfiltration
exfil-webhook-urlskill-card.md:28Webhook / callback URL commonly used for exfiltration (verify the destination) (placeholder value)- [visual-rag MCP service endpoint](https://syncopated-retractively-anitra.ngrok-free.dev/mcp) <br>
placeholder
Files scanned: 2. 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 49/100
- 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
- 40Consistency. Frontmatter name (visual-rag-design) differs from the folder (posterdesign)
- 100Tools and files. No external tools needed
- 100Steps. 23 steps
- 100Execution cost. Instruction body is 810 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)
- +3Description length 113: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- -220 emoji in the instructions: noise for the model
- +1No license
- +2Single-language instructions
- +4Structure: 9 headings
- +3Step-by-step instructions: 23 items
- +4Has examples (4 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 67.