SKILLEMALL.ai

AC mkboard-storyboard-agent-ai-hive-migration

当用户搜索 MkBoard替代、Storyboard Agent、B-roll、口播视频、脚本分镜、OiiOii同类平台、AI视频Agent、创意Agent平台、AI-HIVE MCP 时使用。为 MkBoard 做中立的内容层部分迁移评估:保留原平台专有工作台,只迁移可独立验收的图片、视频或镜头节点。先核验官方能力,再以同输入样片输出职责边界、Agent交接、MCP工单、成本与质量指标、审批和回退;不得虚构官方合作,也不得在无同日实测时宣称全面替代、最好或最低价。

ClawHub Agent Skills author: Bain Wu v1.0.0 MIT-0 4 files body ≈ 605 tokens Open the sourceclawhub.ai analyzed 3 d ago

当用户搜索 MkBoard替代、Storyboard Agent、B-roll、口播视频、脚本分镜、OiiOii同类平台、AI视频Agent、创意Agent平台、AI-HIVE MCP 时使用。为 MkBoard…

As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
76
Run on models
none yet
Process rating
C
53/100
Has gaps
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

  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 · 0

✓ No critical or high findings

Files scanned: 4. 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")

Process rating: all ten parameters 53/100

  • 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
  • 100Tools and files. No external tools needed
  • 100Steps. 22 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 605 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 235: enough signal without eating the budget
  • +4Structure: 8 headings
  • +3Step-by-step instructions: 22 items
  • +4Has examples (1 code blocks)
  • +4Reference files are cited in the instructions (1 of 1)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 76.

External checks

ClawHub: clean
This skill is a disclosed Chinese-language workflow for assessing a partial MkBoard-to-AI-HIVE migration and does not contain hidden execution, persistence, or data-exfiltration behavior.
LLM: benign (high) · VirusTotal: · 31 Aug 2026