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BF yino-ai

Generate images and videos using yino.ai. Use when user wants to generate images (Seedream), generate videos (Veo), or any media generation task.

ClawHub Agent Skills author: HackerQED v0.0.2 MIT-0 3 files body ≈ 1 093 tokens Open the sourceclawhub.ai↗ analyzed 4 d ago

As a process F 45/100 · Will not run — References files that are not bundled: /docs, /docs/models

GeneratorMedia and videoInfrastructuretype and topics are labelled automatically from the skill text
Runs in: OpenClaw Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) Goose OpenCode
JSON
Technical rating
B
89/100
safety, quality, tests
Safety 60%
99
Quality 40%
74
Run on models
none yet
Process rating
F
45/100
Will not run
References files that are not bundled: /docs, /docs/models
Tools and files w 18
0
Result and completion w 14
0
Inputs and preconditions w 11
0
the three weakest of ten parameters · all ten

How to improve

  1. The text references files that are not there: add them or drop the references.
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 · 1

✓ No critical or high findings

Medium and low: 1
  • low Exfiltration net-credential-use SKILL.md:32
    Credential used in a network call (verify the destination is the intended service) (the skill's own vendor host; quoted — discussed, not commanded)
    1. `echo $YINO_API_KEY` — must be set. Get one at https://yino.ai/settings (API Keys section).
    vendor-hostquoted

Files scanned: 3. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning missing-ref reference to a missing file: /docs
  • warning missing-ref reference to a missing file: /docs/models
  • note frontmatter-key unknown frontmatter key "triggers"
  • note frontmatter-key unknown frontmatter key "tools"
  • note frontmatter-key unknown frontmatter key "requires"

Process rating: all ten parameters 45/100

Will not run. References files that are not bundled: /docs, /docs/models
  • 0Tools and files. 2 referenced file(s) missing: /docs, /docs/models
  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 2 mutating operations with no state check
  • 100Steps. 9 steps
  • 100Failures and branches. 3 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1093 tokens
  • 100Progress reporting. Reports progress

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
  • -2localhost URLs: will not work for another user
  • +1No license
  • +2Single-language instructions
  • +3Description length 145: enough signal without eating the budget
  • +4Structure: 8 headings
  • +3Step-by-step instructions: 9 items
  • +4Has examples (4 code blocks)
  • +4Reference files are cited in the instructions (1 of 1)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 74.

External checks

ClawHub: suspicious
This is a coherent yino.ai media-generation skill, but it gives broad activation rules and includes unsafe API-key handling that users should review before installing.
LLM: suspicious (high) · VirusTotal: · 29 May 2026