BC autoglm-browser-agent
智能浏览器自动化代理,可执行任何需要浏览器的任务。 包括但不限于:打开网页、搜索信息(百度/谷歌/必应)、浏览社交媒体(微博/小红书/知乎/抖音/B站)、 点赞/评论/转发/收藏、发帖/发消息、登录网站、填写表单、截图、采集网页内容、 在线购物比价、查看新闻资讯、操作在线文档(飞书文档/腾讯文档等)。 当用户提到任何网站名称、网址URL、或需要在网页上执行操作时,使用此技能。
As a process C 58/100 · Has gaps — 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 skill contains commands that delete files, rewrite disks or execute code fetched from the network. The agent may run them without asking if it believes the instructions require it.
Replace destructive commands with safe equivalents that ask for confirmation, scope them to one folder, and stop piping curl into a shell: pin a version and a checksum.
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 · 3
✓ No critical or high findings
Medium and low: 3
-
medium Dangerous commands
cmd-quarantine-fileINSTALL.md:12Removes the macOS quarantine flag from one file (usual for a downloaded CLI; make sure the file is the intended binary)xattr -d com.apple.quarantine {baseDir}/dist/relay {baseDir}/dist/mcp_server -
medium Dangerous commands
cmd-quarantine-fileSKILL.md:47Removes the macOS quarantine flag from one file (usual for a downloaded CLI; make sure the file is the intended binary)xattr -d com.apple.quarantine {baseDir}/dist/relay {baseDir}/dist/mcp_server 2>/dev/null; true -
low Dangerous commands
cmd-background-processSKILL.md:56Starts a background / autostarted process> nohup {baseDir}/dist/relay > /dev/null 2>&1 &
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 58/100
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 20When it triggers. No condition that starts the skill
- 60Tools and files. Uses tools (bash) that frontmatter does not declare
- 100Steps. 70 steps
- 100Failures and branches. 1 branches, has a failure section
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 3324 tokens
- 100Running it twice. No mutating operations
- 100Progress reporting. Reports progress
- low 13 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
- +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
- -235 emoji in the instructions: noise for the model
- +1No license
- +2Single-language instructions
- +3Description length 189: enough signal without eating the budget
- +4Structure: 42 headings
- +3Step-by-step instructions: 70 items
- +4Has examples (20 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 70.