BD qianwen-cdp
用原生 Chrome DevTools Protocol 驱动千问浏览器（qianwen.exe），复用真实登录态做办公自动化。当用户要让"千问浏览器"自动打开网页、填表、点击、抓取内容、截图，或提到 xbrowser/agent-browser 驱动千问失败时，使用本技能。
用原生 Chrome DevTools Protocol 驱动千问浏览器（qianwen.exe），复用真实登录态做办公自动化。当用户要让"千问浏览器"自动打开网页、填表、点击、抓取内容、截图，或提到 xbrowser/agent-browser 驱动千问失败时，使用本技能。
As a process D 43/100 · 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
intent-browser-credential-storeSKILL.md:96Accesses a browser credential / cookie store (quoted — discussed, not commanded)6. **诊断登录态看 `Default/Network/Cookies`**：新版 Chromium(M120+) 把 Cookies 从 `Default/Cookies` 移到 `Default/Network/Cookies`。查 `Default/Cookies` 不存在是正常现象，会误判「登录态丢失」；真正判断登录态完好与否要读 `Network/Cookies`（大小正常即未丢）。
quoted -
low Secrets in code
secret-high-entropy-tokenSKILL.md:65High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)- 该表即记忆里的「ROS软件项目管理表」：nodeId=`amwe…D6p`、sheet=`O4kXTnQ`，字段≈项目名称/负责人/优先级/项目进度细节登记/进度示意/小批量跟进。
quoted
Files scanned: 4. 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") - note
frontmatter-keyunknown frontmatter key "display_name"
Process rating: all ten parameters 43/100
- 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
- 30Running it twice. 2 mutating operations with no state check
- 60Tools and files. Uses tools (bash) that frontmatter does not declare
- 100Steps. 30 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1434 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
- +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
- -4Absolute local paths (C:\Users, /home/…): not portable
- +1No license
- +2Single-language instructions
- +3Description length 138: enough signal without eating the budget
- +4Structure: 10 headings
- +3Step-by-step instructions: 30 items
- +4Has examples (1 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 67.