BF ai-drama-prompt-factory
AI短剧提示词工厂 - 端到端将小说/故事创意转化为结构化提示词包（角色立绘+场景+道具+分镜图片+视频+音频）的完整流水线。一个入口启动全流程，内部自动按阶段推进：策划→设计→剧本→诊断→提示词组装→API JSON输出。支持小说改编和原创短剧两条路径。触发词：AI短剧、短剧制作、小说转短剧、短剧提示词、提示词工厂、短剧全流程、小说改编短剧、生成短剧、AI视频剧本、短剧项目、分镜提示词、视频提示词、prompt factory。
As a process F 34/100 · Will not run — References files that are not bundled: scripts/ep{NN}/script.json, scripts/ep{NN}/script.md
The same skill appears in 1 more place: ClawHub
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- The text references files that are not there: add them or drop the references.
- 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: 19. 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
missing-refreference to a missing file: scripts/ep{NN}/script.json - warning
missing-refreference to a missing file: scripts/ep{NN}/script.md
Process rating: all ten parameters 34/100
- 0Tools and files. 2 referenced file(s) missing: scripts/ep{NN}/script.json, scripts/ep{NN}/script.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
- 70Execution cost. Instruction body is 4235 tokens
- 100Steps. 53 steps
- 100Consistency. Name and required fields are in place
- 100Running it twice. No mutating operations
- low 10 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)
- +3Output format is not stated: the model decides each time
- -243 emoji in the instructions: noise for the model
- -34 of 4 scripts are never mentioned in SKILL.md
- +1No license
- +2Single-language instructions
- +3Description length 217: enough signal without eating the budget
- +4Structure: 43 headings
- +3Step-by-step instructions: 53 items
- +4Has examples (22 code blocks)
- +4Reference files are cited in the instructions (10 of 11)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 62.