SKILLEMALL.ai

AD creative-studio

Use when users ask to create or edit product images (background removal, OCR, resize/crop/convert), edit product videos (trim, concat, audio overlay), generate AI voiceovers (edge-tts, Chinese/English), build 3D product displays (Three.js), or create product detail pages (responsive HTML with bilingual support). All-in-one creative toolkit for 萤火虫空压机 (Firefly Air Compressor). Trigger keywords: 抠图, 去背景, 识别文字, OCR, 产品详情页, 3D展示, 配音, 剪视频, 处理图片, 生成页面, remove background, product page, TTS.

ClawHub Claude Code author: yhc2026 v1.0.1 MIT-0 15 files body ≈ 1 109 tokens Open the sourceclawhub.ai analyzed 11 h ago

Use when users ask to create or edit product images (background removal, OCR, resize/crop/convert), edit product videos (trim, concat, audio overlay)…

As a process D 43/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

GeneratorSoftware developmentAI and agentsMedia and videotype and topics are labelled automatically from the skill text
JSON
Technical rating
A
96/100
safety, quality, tests
Safety 60%
100
Quality 40%
91
Run on models
none yet
Process rating
D
43/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
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: 15. 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 43/100

    • 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
    • 30Running it twice. 4 mutating operations with no state check
    • 60Tools and files. Uses tools (python) that frontmatter does not declare
    • 100Steps. 38 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1109 tokens

    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
    • +1No license
    • +2Single-language instructions
    • +3Description length 488: enough signal without eating the budget
    • +4Structure: 23 headings
    • +3Step-by-step instructions: 38 items
    • +4Has examples (6 code blocks)
    • +4Reference files are cited in the instructions (4 of 4)
    • +3All 6 scripts are documented

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 91.

    External checks

    ClawHub: clean
    This skill’s network use, local file output, dependency checks, and media-generation helpers fit its stated purpose of creating news podcast packages, though users should understand it may use third-party services and configured API keys.
    LLM: benign (medium) · VirusTotal: · 3 Jun 2026