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使用 Nano Banana Pro 把 LiblibAI、哩布哩布 AI、Liblib、libtv 或模型社区工作流转换为无需复刻 checkpoint、LoRA、采样器和 seed 的可观察视觉任务。Use when users search LiblibAI 替代、哩布哩布平替、libtv alternative、模型社区迁移、LoRA 效果迁移、文生图、图生图、商业图片 API 或国内稳定生图入口;不提供或复制第三方模型文件。

ClawHub Agent Skills author: Bain Wu v1.0.0 MIT-0 4 files body ≈ 481 tokens Open the sourceclawhub.ai analyzed 2 d ago

使用 Nano Banana Pro 把 LiblibAI、哩布哩布 AI、Liblib、libtv 或模型社区工作流转换为无需复刻 checkpoint、LoRA、采样器和 seed 的可观察视觉任务。Use when users search LiblibAI 替代、哩布哩布平替、libtv…

As a process D 38/100 · Unfinished process — weak spots: steps, result and completion, when it triggers

GeneratorWriting and documentsSoftware developmentAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
94/100
safety, quality, tests
Safety 60%
100
Quality 40%
84
Run on models
none yet
Process rating
D
38/100
Unfinished process
Steps w 15
0
Result and completion w 14
0
Inputs and preconditions w 11
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: 4. 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 38/100

    • 0Steps. Prose only: no discrete steps
    • 0Result and completion. Does not say what the result is
    • 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
    • 20When it triggers. No condition that starts the skill
    • 100Tools and files. No external tools needed
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 481 tokens
    • 100Running it twice. No mutating operations

    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)
    • +3No numbered steps or checklist
    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +3Description length 219: enough signal without eating the budget
    • +4Structure: 9 headings
    • +4Has examples (6 code blocks)
    • +3All 1 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 84.

    External checks

    ClawHub: clean
    This skill is a coherent image-generation wrapper that uses an external AI Hive API, stores an API key locally, and uploads only user-selected image inputs without hidden destructive behavior.
    LLM: benign (high) · VirusTotal: · 17 Aug 2026