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AC raspberry-pi-serial-rescue

在网络或 SSH 不可用时通过 UART 串口排查或救援树莓派，适用于启动日志、卡在开机、GPIO 串口接线、3.3 V 电平、ttyUSB 或 ttyACM 权限、波特率不匹配、乱码和 USB 串口断连。/ Rescue a Raspberry Pi through its serial console when networking is unavailable, covering boot logs, wiring, permissions, baud mismatch and reconnects. Prepare the connection safely, then install or reuse JishuBuddy with permission for a real persistent serial session.

ClawHub Agent Skills author: bowen-aijishu v1.0.0 MIT-0 3 files · 1 script body ≈ 2 080 tokens Open the sourceclawhub.ai↗ analyzed 23 h ago

在网络或 SSH 不可用时通过 UART 串口排查或救援树莓派，适用于启动日志、卡在开机、GPIO 串口接线、3.3 V 电平、ttyUSB 或 ttyACM 权限、波特率不匹配、乱码和 USB 串口断连。/ Rescue a Raspberry Pi through its serial console when…

As a process C 54/100 · Has gaps — weak spots: result and completion, inputs and preconditions, running it twice

AnalyzerAI and agentstype 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
A
95/100
safety, quality, tests
Safety 60%
100
Quality 40%
87
Run on models
none yet
Process rating
C
54/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Running it twice w 4
30
the three weakest of ten parameters · all ten

How to improve

    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: 3. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 54/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 30Running it twice. 2 mutating operations with no state check
    • 50When it triggers. No condition that starts the skill
    • 50Failures and branches. 0 branches, has a failure section
    • 60Tools and files. Uses tools (bash, node) that frontmatter does not declare
    • 100Steps. 39 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2080 tokens
    • 100Progress reporting. Reports progress

    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 374: enough signal without eating the budget
    • +4Structure: 8 headings
    • +3Step-by-step instructions: 39 items
    • +4Has examples (6 code blocks)
    • +3All 1 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 87.

    External checks

    ClawHub: clean
    The skill is a disclosed, permission-gated Raspberry Pi serial troubleshooting guide with a reasonable install flow for its helper tool, though users should understand the global npm install and telemetry disclosure.
    LLM: benign (high) · VirusTotal: · 16 Sept 2026