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BD AC-Nexus

🎮 AI Agent 智能空调控制核心库 — 零 GUI 依赖，import 即用。支持 17 大品牌空调（格力/美的/海尔/大金等），直连 Broadlink RM 红外遥控器，同时接入所有支持 MIoT 协议的米家红外遥控器。MIoT spec 自动匹配 siid/piid，百度+和风双天气源，中央气象台+NHC 双风暴源，多日期组定时模板，Markdown 日志，故障诊断。适配树莓派/NAS/OpenWRT/桌面全平台。（原名 BroadlinkAC，现已更名为 AC-Nexus，正式成为空调中枢）

ClawHub Agent Skills author: KevinChan v5.3.1 MIT-0 2 files body ≈ 4 042 tokens Open the sourceclawhub.ai↗ analyzed 3 d ago

🎮 AI Agent 智能空调控制核心库 — 零 GUI 依赖，import 即用。支持 17 大品牌空调（格力/美的/海尔/大金等），直连 Broadlink RM 红外遥控器，同时接入所有支持 MIoT 协议的米家红外遥控器。MIoT spec 自动匹配…

As a process D 47/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

IntegrationGitHubAI and agentsMarketingSoftware developmenttype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
B
86/100
safety, quality, tests
Safety 60%
99
Quality 40%
66
Run on models
none yet
Process rating
D
47/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
When it triggers w 12
20
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 · 1

✓ No critical or high findings

Medium and low: 1
  • low Secrets in code secret-high-entropy-token SKILL.md:4
    High-entropy token-like string (may be an id, hash or a credential)
    identifier: oywq…ill

Files scanned: 2. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)
  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • note frontmatter-key unknown frontmatter key "identifier"

Process rating: all ten parameters 47/100

  • 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
  • 40Consistency. Frontmatter name (AC-Nexus) differs from the folder (acnexus)
  • 50Failures and branches. 0 branches, has a failure section
  • 60Tools and files. Uses tools (web, python) that frontmatter does not declare
  • 70Execution cost. Instruction body is 4042 tokens
  • 100Steps. 15 steps
  • 100Running it twice. Mutating operations check current state
  • 100Progress reporting. Reports progress
  • low 11 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
  • +1No license
  • +2Single-language instructions
  • +3Description length 256: enough signal without eating the budget
  • +4Structure: 30 headings
  • +3Step-by-step instructions: 15 items
  • +4Has examples (17 code blocks)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 66.

External checks

ClawHub: clean
AC-Nexus is a disclosed smart air-conditioner automation skill whose device control, stored configuration, and background scheduling fit its stated purpose.
LLM: benign (high) · VirusTotal: · 21 Jun 2026