SKILLEMALL.ai

AB Overseas Talent and Team Building Playbook

Hire, onboard, and manage overseas talent in minutes. Get hiring sequences, role scorecards, interview rubrics, onboarding plans, and compliance checklists for any overseas market — install and build your distributed team in under 30 seconds.

ClawHub Agent Skills author: haidong v1.0.2 MIT-0 6 files body ≈ 2 495 tokens Open the sourceclawhub.ai analyzed 4 d ago

As a process B 79/100 · Nearly there — weak spots: consistency, running it twice, progress reporting

GeneratorSecurityInfrastructurePeople and hiringtype and topics are labelled automatically from the skill text
JSON
Technical rating
A
93/100
safety, quality, tests
Safety 60%
100
Quality 40%
82
Run on models
none yet
Process rating
B
79/100
Nearly there
Progress reporting w 2
0
Running it twice w 4
30
Consistency w 8
40
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: 6. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)

    Process rating: all ten parameters 79/100

    • 0Progress reporting. Says nothing while it works
    • 30Running it twice. 2 mutating operations with no state check
    • 40Consistency. Frontmatter name (Overseas Talent and Team Building Playbook) differs from the folder (cb-overseas-talent-playbook)
    • 55Failures and branches. 1 branches
    • 70When it triggers. States when to use, but not when not to
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Tools and files. No external tools needed
    • 100Steps. 53 steps
    • 100Result and completion. Output format and completion criterion are stated
    • 100Execution cost. Instruction body is 2495 tokens
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
    • low 12 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)
    • +1No license
    • +2Single-language instructions
    • +3Description length 242: enough signal without eating the budget
    • +4Structure: 23 headings
    • +3Step-by-step instructions: 53 items
    • +3Output format is stated explicitly
    • +4Has examples (0 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 82.

    External checks

    ClawHub: clean
    This is a descriptive hiring playbook with clear limitations and no evidence of code execution, network access, credential use, or hidden actions.
    LLM: benign (high) · VirusTotal: · 20 Jun 2026