SKILLEMALL.ai

AC kallyai-api

KallyAI Executive Assistant — AI that handles phone calls (outbound + inbound), email, bookings, research, errands, multi-channel messaging, and phone number management on your behalf. Use when users want to: make/receive calls, manage inbound rules, handle voicemails, provision phone numbers, send email, book restaurants/hotels, search for services, manage calendar, check inbox/messages, handle bills, order food/rides, run errands, check credits/budget, coordinate goals, manage channels (WhatsApp/Telegram/social), run outreach campaigns, referrals, or any delegation task. Triggers on: call, phone, reservation, appointment, email, search, book, find, schedule, cancel, inbox, messages, research, assistant, coordinate, goal, credits, budget, ride, food, errand, bill, dispute, calendar, KallyAI, inbound, receptionist, voicemail, phone number, forward, transfer, takeover, channels, WhatsApp, Telegram, outreach, referral, subscription.

ClawHub Agent Skills author: sltelitsyn v2.0.0 5 files body ≈ 2 985 tokens Open the sourceclawhub.ai analyzed 2 d ago

As a process C 58/100 · Has gaps — weak spots: inputs and preconditions, failures and branches, running it twice

IntegrationTelegramWhatsAppSales and CRMPersonal productivityInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
A
94/100
safety, quality, tests
Safety 60%
100
Quality 40%
85
Run on models
none yet
Process rating
C
58/100
Has gaps
Inputs and preconditions w 11
0
Failures and branches w 10
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: 5. 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 58/100

    • 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
    • 30Running it twice. 3 mutating operations with no state check
    • 60Tools and files. Uses tools (bash, web) 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
    • 100Steps. 4 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2985 tokens
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

    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)
    • +3Description length 944: 120–800 characters recommended
    • -31 of 2 scripts are never mentioned in SKILL.md
    • +1No license
    • +2Single-language instructions
    • +4Structure: 29 headings
    • +3Step-by-step instructions: 4 items
    • +3Output format is stated explicitly
    • +4Has examples (23 code blocks)
    • +4Reference files are cited in the instructions (1 of 1)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 85.

    External checks

    ClawHub: suspicious
    This skill matches its stated assistant purpose, but it gives a broadly triggered agent authority to perform real-world actions like calls, emails, bookings, outreach, phone-number changes, and billing-related changes without clear enough confirmation boundaries.
    LLM: suspicious (high) · VirusTotal: benign · 10 Sept 2026