BD vigilath-geo
检测、查询与优化品牌在 AI 搜索引擎(ChatGPT / Perplexity / DeepSeek / 豆包 / 通义 / 文心 / 元宝)中的可见性与被引用率(GEO/AEO),并可查品牌舆情与热点。**任何网站的 GEO / SEO 体检不需要登录、免费、不限次**——用户说「测一下这个网站 / 这个站 GEO 怎么样 / SEO 分数多少 / 帮我体检一下官网」就直接跑 check。另有需授权的能力:当用户问到「在 AI 里被搜到几个 / AI 搜索可见性 / GEO / AEO / 竞品在 AI 里怎么对比 / 怎么提升被 AI 引用 / 投放效果 / 露出率 / 日报周报月报」,或问到「今天有没有负面 / 舆情 / 品牌声量 / 有什么热点可蹭 / 调监测词」这类问题时使用。
检测、查询与优化品牌在 AI 搜索引擎(ChatGPT / Perplexity / DeepSeek / 豆包 / 通义 / 文心 / 元宝)中的可见性与被引用率(GEO/AEO),并可查品牌舆情与热点。任何网站的 GEO / SEO 体检不需要登录、免费、不限次——用户说「测一下这个网站 / 这个站 GEO…
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 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 · 8
✓ No critical or high findings
Medium and low: 8
-
medium Dangerous commands
cmd-pipe-to-shellREADME.md:22Downloads and executes remote code from an unrecognised host (pipe to shell) (the skill's own vendor host)curl -fsSL https://vigilath.cn/skill/install.sh | bash
vendor-host -
medium Dangerous commands
cmd-pipe-to-shellREADME.md:38Downloads and executes remote code from an unrecognised host (pipe to shell) (the skill's own vendor host)curl -fsSL https://vigilath.cn/skill/install.sh | bash -s -- <你的token> --base https://vigilath.cn
vendor-host -
low Dangerous commands
cmd-pipe-to-shellinstall.sh:5Downloads and executes remote code from an unrecognised host (pipe to shell) (code comment; the skill's own vendor host)# curl -fsSL https://vigilath.cn/skill/install.sh | bash
commentvendor-host -
low Dangerous commands
cmd-pipe-to-shellinstall.sh:8Downloads and executes remote code from an unrecognised host (pipe to shell) (code comment; the skill's own vendor host)# curl -fsSL https://vigilath.cn/skill/install.sh | bash -s -- --skills site-audit,seo-audit
commentvendor-host -
low Dangerous commands
cmd-pipe-to-shellinstall.sh:10Downloads and executes remote code from an unrecognised host (pipe to shell) (code comment; the skill's own vendor host)# curl -fsSL https://vigilath.cn/skill/install.sh | bash -s -- --skills geo
commentvendor-host -
low Dangerous commands
cmd-pipe-to-shellinstall.sh:13Downloads and executes remote code from an unrecognised host (pipe to shell) (code comment; the skill's own vendor host)# curl -fsSL https://vigilath.cn/skill/install.sh | bash -s -- <你的token> --base https://vigilath.cn
commentvendor-host -
low Dangerous commands
cmd-pipe-to-shellinstall.sh:19Downloads and executes remote code from an unrecognised host (pipe to shell) (string literal in code, not executed; code comment)# ★ --base 是"从哪个域名装就指向哪个域名"的关键:本脚本被 `curl | bash` 管道执行时,
code literalcomment -
low Dangerous commands
cmd-pipe-to-shellREADME.md:41Downloads and executes remote code from an unrecognised host (pipe to shell) (the skill's own vendor host; quoted — discussed, not commanded)> `--base` 请**照控制台给的那条命令原样用**。脚本被 `curl | bash` 管道执行时拿不到自己的下载地址,基址只能靠它传入;不传会退到默认的 `https://vigilath.cn`。
vendor-hostquoted
Files scanned: 5. 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 "slug" - note
frontmatter-keyunknown frontmatter key "displayName" - note
frontmatter-keyunknown frontmatter key "summary" - note
frontmatter-keyunknown frontmatter key "homepage"
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. 1 mutating operations with no state check
- 60Tools and files. Uses tools (python) that frontmatter does not declare
- 100Steps. 39 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1501 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
- +2Single-language instructions
- +3Description length 349: enough signal without eating the budget
- +4Structure: 14 headings
- +3Step-by-step instructions: 39 items
- +4Has examples (7 code blocks)
- +3All 1 scripts are documented
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.