SKILLEMALL.ai

AC balltalk

Use this skill when the user asks about basketball — NBA stats, player comparisons, fantasy advice, rules, play design, scouting, or coaching. Triggers: 'balltalk', 'basketball', 'NBA', 'who should I start', 'player comparison', 'fantasy basketball', 'basketball stats', 'is X better than Y', 'explain this play', 'basketball rules'. Pulls real stats via web search, compares players, gives fantasy advice, explains rules, and generates scouting reports. Do NOT use for: other sports, basketball video games, or basketball card collecting.

ClawHub Agent Skills author: Ke Wang v1.0.0 MIT-0 3 files body ≈ 1 435 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process C 63/100 · Has gaps — weak spots: result and completion, inputs and preconditions

GeneratorInfrastructureData and analyticsMedia and videotype and topics are labelled automatically from the skill text
JSON
Technical rating
A
95/100
safety, quality, tests
Safety 60%
100
Quality 40%
88
Run on models
none yet
Process rating
C
63/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Tools and files w 18
60
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 63/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 60Tools and files. Uses tools (web) that frontmatter does not declare
    • 70Failures and branches. 5 branches
    • 85Steps. 43 steps, 1 vague phrases
    • 100When it triggers. States when to use and when not to
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1435 tokens
    • 100Running it twice. No mutating operations
    • 100Progress reporting. Reports progress
    • 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
    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +4Description says when NOT to use the skill
    • +3Description length 539: enough signal without eating the budget
    • +4Structure: 12 headings
    • +3Step-by-step instructions: 43 items
    • +4Has examples (4 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 88.

    External checks

    ClawHub: clean
    This is a basketball advice skill with static markdown instructions and a banner image; I found no hidden directives, executables, credential access, or persistence.
    LLM: benign (high) · VirusTotal: · 29 May 2026