SKILLEMALL.ai

BF joycreator-api

调用京东云灵境(Lingjing) JoyCreator 平台的 AI 生成 API。具备三阶段智能管线:① 意图理解(解析自然语言为结构化 JSON)→ ② 模型推荐(根据场景特征自动匹配最优模型)→ ③ API 调用(构造请求并提交任务)。支持文生图、文生视频、图生视频、参考图生视频,覆盖豆包/海螺/可灵/拍我等全系列模型。当用户提到灵境、JoyCreator、豆包、海螺、可灵、拍我、文生图、文生视频、图生视频、AI绘图、AI视频生成、想画图、想做视频时,必须使用此 skill。用户无需指定模型,系统可自动推荐。

ClawHub Agent Skills author: Scorpiongao v1.0.2 MIT-0 9 files body ≈ 683 tokens Open the sourceclawhub.ai analyzed 4 d ago

As a process F 31/100 · Will not run — References files that are not bundled: references/{brand}.md

IntegrationInfrastructuretype and topics are labelled automatically from the skill text
JSON
Technical rating
B
89/100
safety, quality, tests
Safety 60%
100
Quality 40%
73
Run on models
none yet
Process rating
F
31/100
Will not run
References files that are not bundled: references/{brand}.md
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. 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 · 0

✓ No critical or high findings

Files scanned: 9. 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: references/{brand}.md

Process rating: all ten parameters 31/100

Will not run. References files that are not bundled: references/{brand}.md
  • 0Tools and files. 1 referenced file(s) missing: references/{brand}.md
  • 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 (joycreator-api) differs from the folder (lingjingtest)
  • 100Steps. 8 steps
  • 100Execution cost. Instruction body is 683 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)
  • +3Output format is not stated: the model decides each time
  • +1No license
  • +2Single-language instructions
  • +3Description length 261: enough signal without eating the budget
  • +4Structure: 13 headings
  • +3Step-by-step instructions: 8 items
  • +4Has examples (8 code blocks)
  • +4Reference files are cited in the instructions (6 of 6)
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.

External checks

ClawHub: clean
This skill is a coherent JoyCreator API helper, but it sends prompts and public media URLs to JD Cloud using the user’s App Key.
LLM: benign (high) · VirusTotal: · 29 May 2026