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BF runninghub

Generate images, videos, audio, and 3D models via RunningHub API (170+ endpoints) and run any RunningHub AI Application (custom ComfyUI workflow) by webappId. Covers text-to-image, image-to-video, text-to-speech, music generation, 3D modeling, image upscaling, AI apps, and more.

ClawHub Agent Skills author: HM-RunningHub v1.0.1 MIT-0 11 files body ≈ 1 308 tokens Open the sourceclawhub.ai↗ analyzed 4 d ago

As a process F 50/100 · Will not run — References files that are not bundled: url

IntegrationMedia 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
85/100
safety, quality, tests
Safety 60%
95
Quality 40%
69
Run on models
none yet
Process rating
F
50/100
Will not run
References files that are not bundled: url
Tools and files w 18
0
Inputs and preconditions w 11
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
  2. 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 · 5

✓ No critical or high findings

Medium and low: 5
  • low Secrets in code secret-high-entropy-token data/capabilities.json:2722
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "name_en": "Vidu…rbo",
    quoted
  • low Secrets in code secret-high-entropy-token data/capabilities.json:2864
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "name_en": "Vidu…ast",
    quoted
  • low Secrets in code secret-high-entropy-token data/capabilities.json:2938
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "name_en": "Vidu…rbo",
    quoted
  • low Secrets in code secret-high-entropy-token data/capabilities.json:4614
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "name_en": "Vidu…pro",
    quoted
  • low Secrets in code secret-high-entropy-token data/capabilities.json:5064
    High-entropy token-like string (may be an id, hash or a credential) (quoted — discussed, not commanded)
    "name_en": "Vidu…pro",
    quoted

Files scanned: 11. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • warning missing-ref reference to a missing file: url
  • note frontmatter-key unknown frontmatter key "homepage"

Process rating: all ten parameters 50/100

Will not run. References files that are not bundled: url
  • 0Tools and files. 1 referenced file(s) missing: url
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 30Running it twice. 4 mutating operations with no state check
  • 40Consistency. Frontmatter name (runninghub) differs from the folder (runninghub-skills)
  • 50When it triggers. No condition that starts the skill
  • 60Result and completion. Output format stated, no completion criterion
  • 100Steps. 17 steps
  • 100Failures and branches. 2 branches, has a failure section
  • 100Execution cost. Instruction body is 1308 tokens
  • 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
  • +4Description does not say when NOT to use the skill (false activations)
  • -31 of 3 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 279: enough signal without eating the budget
  • +4Structure: 8 headings
  • +3Step-by-step instructions: 17 items
  • +3Output format is stated explicitly
  • +4Has examples (2 code blocks)
  • +4Reference files are cited in the instructions (5 of 5)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 69.

External checks

ClawHub: clean
This skill is a broad but coherent RunningHub media-generation integration; its main risks are expected remote processing, file uploads, paid API use, voice cloning, and saved API-key handling.
LLM: benign (high) · VirusTotal: · 29 May 2026