SKILLEMALL.ai

BD remote-console

通过手机/浏览器远程访问主机上的 Claude Code 或其他 CLI 工具。使用此技能来启动、停止和管理远程开发环境。 **必须触发此技能的场景**: - 用户提到"远程控制台"、"远程终端"、"远程开发"、"ttyd"、"SSH 隧道" - 用户想用手机/平板访问电脑上的开发环境 - 用户提到"移动端编程"、"手机写代码"、"远程编码" - 用户要添加/删除/查看项目路径 - 用户要添加/设置/查看命令配置 - 用户要关闭或停止远程控制台 - 用户询问如何在外出时继续编程 **不要触发**:普通 SSH 连接、服务器部署、日志查看等非远程控制台任务。

ClawHub Agent Skills author: HaibaraAi v1.0.0 MIT-0 9 files body ≈ 728 tokens Open the sourceclawhub.ai analyzed 4 d ago

As a process D 46/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationSoftware developmentAI and agentsInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
88/100
safety, quality, tests
Safety 60%
100
Quality 40%
69
Run on models
none yet
Process rating
D
46/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
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: 9. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")

Process rating: all ten parameters 46/100

  • 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
  • 60Tools and files. Uses tools (bash, python) that frontmatter does not declare
  • 100Steps. 12 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 728 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)
  • +3Output format is not stated: the model decides each time
  • -31 of 5 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 283: enough signal without eating the budget
  • +4Structure: 21 headings
  • +3Step-by-step instructions: 12 items
  • +4Has examples (13 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 69.

External checks

ClawHub: suspicious
This skill openly creates a browser-accessible remote terminal, but its defaults can expose powerful shell access without strong built-in safeguards.
LLM: suspicious (high) · VirusTotal: · 29 May 2026