BF film-pipeline
影视创作总控台。接收用户输入（剧本/角色描述/动作戏创意/画面风格需求），自动分析意图，调度四个子Skill（character-sheet角色三视图、storyboard-9grid九宫格分镜、action-director动作导演、trailer-director预告片导演）按正确顺序执行，并保持全流程的角色/场景/风格一致性。当用户说"拍一部短片"、"做分镜"、"设计角色"、"动作戏设计"、"电影级prompt"时触发。
影视创作总控台。接收用户输入（剧本/角色描述/动作戏创意/画面风格需求），自动分析意图，调度四个子Skill（character-sheet角色三视图、storyboard-9grid九宫格分镜、action-director动作导演、trailer-director预告片导演）按正确顺序执行，并保持全流程的角色/场…
As a process F 35/100 · Will not run — References files that are not bundled: character-sheet, storyboard-9grid, action-director
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: 3. 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: character-sheet - warning
missing-refreference to a missing file: storyboard-9grid - warning
missing-refreference to a missing file: action-director - warning
missing-refreference to a missing file: trailer-director
Process rating: all ten parameters 35/100
- 0Tools and files. 4 referenced file(s) missing: character-sheet, storyboard-9grid, action-director
- 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
- 100Steps. 15 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 656 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 215: enough signal without eating the budget
- +4Structure: 10 headings
- +3Step-by-step instructions: 15 items
- +4Has examples (3 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 60.