BD manju-script-generator
漫剧工业化生产全流程工具 v5.1 — 三板分离法｜七要素镜头语言｜风格顾问系统｜故事板图像生成｜镜头控制模块库｜去AI味提示词框架｜工业级素材管理
漫剧工业化生产全流程工具 v5.1 — 三板分离法｜七要素镜头语言｜风格顾问系统｜故事板图像生成｜镜头控制模块库｜去AI味提示词框架｜工业级素材管理
As a process D 43/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
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: 5. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-no-whendescription does not say WHEN to use the skill (no "use when") - warning
body-longSKILL.md body ≈ 8270 tokens (recommended < 5000); move details to references/ - note
frontmatter-keyunknown frontmatter key "routes"
Process rating: all ten parameters 43/100
- 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
- 40Execution cost. Instruction body is 8270 tokens: crowds the task out of the window
- 60Tools and files. Uses tools (bash) that frontmatter does not declare
- 100Steps. 179 steps
- 100Consistency. Name and required fields are in place
- 100Running it twice. No mutating operations
- low 54 top-level sections: this looks like several domains in one skill
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 74: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +4Structure: 179 headings
- +3Step-by-step instructions: 179 items
- +4Has examples (29 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 58.
External checks
ClawHub: suspicious
This is mostly a creative-production helper, but it includes explicit face-restriction bypass and watermark-removal workflows that need Review before installation.
LLM: suspicious (high) · 25 Jul 2026