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B switchbot-openapi

Control and query SwitchBot devices using the official OpenAPI (v1.1). Use when the user asks to list SwitchBot devices, get device status, send commands, query families/rooms/homes, manage scenes, or access AI MindClip recordings/summaries/todos. **This is the ONLY skill that can query 家庭信息, 房间信息, family, room, and home data.** Also handles AI MindClip (录音笔) APIs: 录音列表, 转写, 总结, 待办, 每日回忆, 每周总结. Requires SWITCHBOT_TOKEN and SWITCHBOT_SECRET.

ClawHub Agent Skills author: switchbot-dev v1.0.7 MIT-0 13 files · 5 scripts body ≈ 4 320 tokens open source ↗ analyzed 30 h ago
ProcedurePersonal productivityInfrastructuretype 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
B
77/100
Overall score
Safety 60%
75
Quality 40%
79
Tests bonus
0

What is at stake

Medium-severity findings: the skill is probably honest, but read what alarmed the scanner.

Exfiltration medium severity

Below is the worst case for this category. The finding here is medium: the guard saw a sign, not a proof.

If you install

The instructions or scripts send data out: environment variables, keys, file contents, chat history. You may never notice, because the agent performs the upload as "part of the task".

For the author

If the upload is not needed for the task, remove it: catalogs flag such skills and delist them. If it is needed, name the destination explicitly, say what leaves the machine, and give the user a switch.

How to improve

  1. Add evals/evals.json with 4–6 real requests and expected answers: the full check will then use your cases instead of a model draft.
  2. Add a spec.yaml with triggers and assertions (skilltest init): the behaviour contract for CI.

Guard findings · 5

✓ No critical or high findings

Medium and low: 5
  • medium Exfiltration net-credential-use scripts/execute_scene.sh:10
    Credential used in a network call (verify the destination is the intended service)
    curl -sS -X POST -H "Authorization: $SWITCHBOT_TOKEN" -H "sign: $SIGN" \
  • medium Exfiltration net-credential-use scripts/get_status.sh:10
    Credential used in a network call (verify the destination is the intended service)
    curl -sS -H "Authorization: $SWITCHBOT_TOKEN" -H "sign: $SIGN" \
  • medium Exfiltration net-credential-use scripts/list_devices.sh:9
    Credential used in a network call (verify the destination is the intended service)
    curl -sS -H "Authorization: $SWITCHBOT_TOKEN" -H "sign: $SIGN" -H "t: $T" -H "nonce: $NONCE" -H "Content-Type: application/json" -H "src: OpenClaw" "$BASE/v1.1/devices" | jq .
  • medium Exfiltration net-credential-use scripts/list_scenes.sh:9
    Credential used in a network call (verify the destination is the intended service)
    curl -sS -H "Authorization: $SWITCHBOT_TOKEN" -H "sign: $SIGN" \
  • medium Exfiltration net-credential-use scripts/send_command.sh:12
    Credential used in a network call (verify the destination is the intended service)
    curl -sS -X POST -H "Authorization: $SWITCHBOT_TOKEN" -H "sign: $SIGN" \

Files scanned: 13. Evidence is masked. Grey chips explain why severity was lowered.

Lint

  • warning frontmatter-yaml SKILL.md: the frontmatter is not valid YAML (YAML parse error: Nested mappings are not allowed in compact mappings at line 2, column 14: description: Control and query SwitchBot devices using the official OpenAPI (v1… ^ ); fields were read line by line. The usual cause is a colon inside an unquoted value

Process maturity 63/100

  • 0Inputs and preconditions. Does not say what the process needs to start
  • 30Running it twice. 11 mutating operations with no state check
  • 40Consistency. Frontmatter name (switchbot-openapi) differs from the folder (switchbot-cloudapi)
  • 60Tools and files. Uses tools (bash, web, node) that frontmatter does not declare
  • 60Result and completion. Output format stated, no completion criterion
  • 70When it triggers. States when to use, but not when not to
  • 70Execution cost. Instruction body is 4320 tokens
  • 100Steps. 132 steps
  • 100Failures and branches. 1 branches, has a failure section
  • 100Progress reporting. Reports progress
  • low The response is described with custom markup (61 tags): a typed call is more reliable

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)
  • -5TODO / placeholder text left in the skill
  • +1No license
  • +2Single-language instructions
  • +3Description length 444: enough signal without eating the budget
  • +4Structure: 17 headings
  • +3Step-by-step instructions: 132 items
  • +3Output format is stated explicitly
  • +4Has examples (20 code blocks)
  • +4Reference files are cited in the instructions (2 of 2)
  • +3All 6 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 79.

External checks

ClawHub: suspicious
This SwitchBot skill is mostly transparent about controlling devices, but it can unlock doors, manage keypad codes, run scenes, and expose recording-derived personal data without strong built-in safeguards.
LLM: suspicious (high) · 10 Sept 2026