BF digital-persona
为已故人物创建全方位动态数字人格——性格、外貌、动作、神态、语音、语言风格、情绪反应。七维度联动蒸馏法：不是模仿口吻——是重建思维结构、情绪反应、内在矛盾。输入人物姓名或资料，自动研究+蒸馏为可交互的SOUL.md人格文件。触发词：「模拟XX」「复活XX」「XX的数字人格」「做个XX的AI」「复刻XX」「digital persona」「已故人物」「数字永生」「AI角色」「人格蒸馏」
为已故人物创建全方位动态数字人格——性格、外貌、动作、神态、语音、语言风格、情绪反应。七维度联动蒸馏法：不是模仿口吻——是重建思维结构、情绪反应、内在矛盾。输入人物姓名或资料，自动研究+蒸馏为可交互的SOUL.md人格文件。触发词：「模拟XX」「复活XX」「XX的数字人格」「做个XX的AI」「复刻XX」「digita…
As a process F 35/100 · Will not run — References files that are not bundled: references/research-checklist.md
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: 1. 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: references/research-checklist.md - note
frontmatter-keyunknown frontmatter key "slug" - note
frontmatter-keyunknown frontmatter key "displayName" - note
frontmatter-keyunknown frontmatter key "summary"
Process rating: all ten parameters 35/100
- 0Tools and files. 1 referenced file(s) missing: references/research-checklist.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
- 100Steps. 20 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 753 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
- +2Single-language instructions
- +3Description length 193: enough signal without eating the budget
- +4Structure: 15 headings
- +3Step-by-step instructions: 20 items
- +4Has examples (3 code blocks)
- +4Reference files are cited in the instructions (1 of 1)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 68.