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BF video-gen

POST https://api.minimaxi.chat/v1/video_generation

Lord1Egypt/RA-Skills Agent Skills author: Lord1Egypt 2 files body ≈ 65 tokens Open the sourcegithub.com↗ analyzed 3 d ago

As a process F 26/100 · Will not run — weak spots: steps, result and completion, when it triggers

IntegrationMedia and videotype and topics are labelled automatically from the skill text
Runs in: Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Hermes Agent Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) OpenClaw Goose OpenCode
JSON
Technical rating
B
75/100
safety, quality, tests
Safety 60%
98
Quality 40%
41
Run on models
none yet
Process rating
F
26/100
Will not run
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

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

✓ No critical or high findings

Medium and low: 2
  • low Exfiltration net-credential-use _meta.json:4
    Credential used in a network call (verify the destination is the intended service) (the skill's own vendor host; quoted — discussed, not commanded)
    "systemRole": "curl --location 'https://api.minimaxi.chat/v1/video\\_generation' \\\n\\--header 'content-type: application/json' \\\n\\--header 'authorization: Bearer ${api_key}' \\\n\\--data '{\n\"mo
    vendor-hostquoted
  • low Exfiltration net-credential-use _meta.json:28
    Credential used in a network call (verify the destination is the intended service) (the skill's own vendor host; quoted — discussed, not commanded)
    "content": "Certainly! Here's a curl command:\ncurl --location 'https://api.minimaxi.chat/v1/video_generation' \\\n--header 'content-type: application/json' \\\n--header 'authorization: Bearer ${api_k
    vendor-hostquoted

Files scanned: 2. 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")
  • note frontmatter-key unknown frontmatter key "source"
  • note frontmatter-key unknown frontmatter key "compatible"

Process rating: all ten parameters 26/100

  • 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
  • 40Consistency. Frontmatter name (video-gen) differs from the folder (lobehub_video-gen)
  • 60Tools and files. Uses tools (web) that frontmatter does not declare
  • 100Execution cost. Instruction body is 65 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)
  • +3Description length 50: 120–800 characters recommended
  • +4Structure: 1 headings, hard to scan
  • +3No numbered steps or checklist
  • +3Output format is not stated: the model decides each time
  • +4No input/output examples
  • -15SKILL.md body under 300 characters: nearly empty
  • +1No license
  • +2Single-language instructions

Quality base 70; lint remarks subtract, signals add up to 100. Result: 41.