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AD huo15-baota-control

用宝塔(BT-Panel)HTTP API 操控火一五的服务器——查系统状态/内存/磁盘/负载、管网站 (停站/启站/重载)、数据库、SSL 证书、计划任务、Docker,以及调用任意宝塔接口。 当用户说"看下 xx 服务器状态/负载/磁盘""重启/停掉某网站""宝塔面板""续证书" "列计划任务""管一下服务器""bt panel"等运维意图时使用。支持多面板。 凭据在 ~/.huo15/baota.json,脚本 scripts/bt_api.py。

ClawHub Agent Skills author: Job Zhao v1.0.0 MIT-0 8 files body ≈ 370 tokens Open the sourceclawhub.ai analyzed 3 d ago

用宝塔(BT-Panel)HTTP API 操控火一五的服务器——查系统状态/内存/磁盘/负载、管网站 (停站/启站/重载)、数据库、SSL 证书、计划任务、Docker,以及调用任意宝塔接口。 当用户说"看下 xx 服务器状态/负载/磁盘""重启/停掉某网站""宝塔面板""续证书"…

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

IntegrationDockerInfrastructureSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
A
93/100
safety, quality, tests
Safety 60%
100
Quality 40%
83
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: 8. 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")
  • note frontmatter-key unknown frontmatter key "displayName"

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) that frontmatter does not declare
  • 100Steps. 9 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 370 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

  • +4Description does not say when NOT to use the skill (false activations)
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 4 example trigger phrases
  • +3Description length 229: enough signal without eating the budget
  • +4Structure: 5 headings
  • +3Step-by-step instructions: 9 items
  • +4Has examples (2 code blocks)
  • +4Reference files are cited in the instructions (1 of 2)
  • +3All 2 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 83.

External checks

ClawHub: suspicious
This skill appears to be a real BT-Panel administration helper, but it handles powerful server credentials and broad remote admin access in ways users should review carefully before installing.
LLM: suspicious (medium) · 25 Jun 2026