SKILLEMALL.ai

AC work-buddy-en

Provide natural, high-signal proactive companionship during work hours without becoming noisy or intrusive. Use when the user wants an assistant that feels like a calm work buddy: checking in naturally, sharing concise useful updates, noticing when to speak, and knowing when to stay quiet. Trigger especially for workday companionship, gentle proactive outreach, light morale support, soft reminders, low-pressure conversation starters, and rhythm-aware follow-through.

ClawHub Agent Skills author: Julia-XD v1.0.0 MIT-0 2 files body ≈ 1 223 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process C 64/100 · Has gaps — weak spots: result and completion, inputs and preconditions, running it twice

ReferenceInfrastructureSales and CRMtype and topics are labelled automatically from the skill text
JSON
Technical rating
A
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
80
Run on models
none yet
Process rating
C
64/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Progress reporting w 2
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: 2. 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 64/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Progress reporting. Says nothing while it works
    • 30Running it twice. 8 mutating operations with no state check
    • 70When it triggers. States when to use, but not when not to
    • 70Failures and branches. 8 branches
    • 100Tools and files. No external tools needed
    • 100Steps. 72 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1223 tokens
    • low 10 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
    • +4No input/output examples
    • +1No license
    • +2Single-language instructions
    • +3Description length 470: enough signal without eating the budget
    • +4Structure: 19 headings
    • +3Step-by-step instructions: 72 items

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 80.

    External checks

    ClawHub: clean
    The skill appears to be a benign proactive work-companion skill, with the main caveat that it may check in more often than some users expect.
    LLM: benign (medium) · VirusTotal: · 29 May 2026