SKILLEMALL.ai

AD unaccompanied-monitoring-analysis

Determines when elderly people living alone have no interaction or visitors for extended periods, and actively pushes care reminders to family members, suitable for remote care scenarios for elderly people living alone at home. | 无人陪伴监测技能,判定独居老人长时间无人互动来访,主动推送关怀提醒给家属,适用于居家独居老人远程关怀场景

ClawHub Agent Skills author: smyx-sunjinhui v1.0.11 MIT-0 30 files body ≈ 1 335 tokens Open the sourceclawhub.ai analyzed 4 d ago

As a process D 39/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

AnalyzerInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
94/100
safety, quality, tests
Safety 60%
100
Quality 40%
84
Run on models
none yet
Process rating
D
39/100
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

    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: 30. 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 39/100

    • 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
    • 30Running it twice. 2 mutating operations with no state check
    • 40Consistency. Frontmatter name (unaccompanied-monitoring-analysis) differs from the folder (smyx-unaccompanied-monitoring-analysis)
    • 60Tools and files. Uses tools (python) that frontmatter does not declare
    • 100Steps. 4 steps
    • 100Execution cost. Instruction body is 1335 tokens

    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
    • -254 emoji in the instructions: noise for the model
    • -32 of 4 scripts are never mentioned in SKILL.md
    • +2Single-language instructions
    • +3Description length 282: enough signal without eating the budget
    • +4Structure: 19 headings
    • +3Step-by-step instructions: 4 items
    • +4Has examples (3 code blocks)
    • +4Reference files are cited in the instructions (1 of 1)
    • +1License stated

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 84.

    External checks

    ClawHub: suspicious
    This skill has a real elderly-monitoring purpose, but it handles private home media and credentials with under-scoped identity, persistence, and transport controls that should be reviewed before use.
    LLM: suspicious (high) · 9 Sept 2026