SKILLEMALL.ai

AC raspberry-pi-health-check

检查树莓派卡顿、发烫、死机、重启、不稳定、磁盘空间不足或服务故障,覆盖运行时间、CPU 负载、内存和 Swap、存储、温度、欠压、降频及 systemd 服务。/ Assess a slow, hot, freezing or unstable Raspberry Pi, including CPU load, memory pressure, disk usage, temperature, undervoltage, throttling and failed services. Prepare the checks, then install or reuse JishuBuddy with permission to collect real device evidence over SSH.

ClawHub Agent Skills author: bowen-aijishu v1.0.0 MIT-0 3 files · 1 script body ≈ 2 140 tokens Open the sourceclawhub.ai analyzed 23 h ago

检查树莓派卡顿、发烫、死机、重启、不稳定、磁盘空间不足或服务故障,覆盖运行时间、CPU 负载、内存和 Swap、存储、温度、欠压、降频及 systemd 服务。/ Assess a slow, hot, freezing or unstable Raspberry Pi, including CPU load…

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

AnalyzerData and analyticsAI and agentsInfrastructuretype and topics are labelled automatically from the skill text
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. 3 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. 24 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2140 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 355: enough signal without eating the budget
    • +4Structure: 13 headings
    • +3Step-by-step instructions: 24 items
    • +4Has examples (7 code blocks)
    • +3All 1 scripts are documented

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

    External checks

    ClawHub: clean
    It looks aligned with Raspberry Pi troubleshooting, but installing the helper tool downloads software from npm and should be approved carefully.
    LLM: benign (high) · VirusTotal: · 16 Sept 2026