SKILLEMALL.ai

AB founder-ip-avatar-studio

Turn one authorized founder or expert portrait and a weekly script into a talking-head IP video in that person's likeness and voice. This founder avatar and digital avatar studio can clone that person's voice and produce a stable founder talking head clip for founder updates, expert explainers, and brand announcements. Use it for a digital human spokesperson, talking head founder series, expert avatar video, brand digital human, AI presenter, AI spokesperson video, and recurring presenter video.

ClawHub Agent Skills author: beatra-ai v0.1.2 MIT-0 14 files body ≈ 2 387 tokens Open the sourceclawhub.ai analyzed 2 d ago

Turn one authorized founder or expert portrait and a weekly script into a talking-head IP video in that person's likeness and voice.

As a process B 68/100 · Nearly there — weak spots: result and completion, progress reporting

GeneratorMedia and videotype 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
B
68/100
Nearly there
Result and completion w 14
0
Progress reporting w 2
0
When it triggers w 12
50
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: 14. 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 68/100

    • 0Result and completion. Does not say what the result is
    • 0Progress reporting. Says nothing while it works
    • 50When it triggers. No condition that starts the skill
    • 60Tools and files. Uses tools (bash) that frontmatter does not declare
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Steps. 18 steps
    • 100Failures and branches. 3 branches, has a failure section
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 2387 tokens
    • 100Running it twice. Mutating operations check current state
    • low The skill ranks results itself: that belongs to the system behind the tool, not the model

    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
    • -32 of 3 scripts are never mentioned in SKILL.md
    • +1No license
    • +2Single-language instructions
    • +3Description length 500: enough signal without eating the budget
    • +4Structure: 9 headings
    • +3Step-by-step instructions: 18 items
    • +4Has examples (2 code blocks)
    • +4Reference files are cited in the instructions (8 of 8)

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

    External checks

    ClawHub: suspicious
    The skill appears aimed at legitimate avatar-video generation, but it needs review because it stores a broad shared Beatra credential and silently replaces its own package files through automatic updates.
    LLM: suspicious (high) · 6 Sept 2026