BF prompt-alchemist
蒸馏四位顶级提示词工程师（Riley Goodside、涂津豪/推广CO-STAR、Sander Schulhoff、李继刚）的方法论，融合为"四元蒸馏框架"，自动优化用户提示词，提升AI回答质量。 ## 激活方式 - "帮我优化提示词""改进我的Prompt""让AI回答更好" - "提示词蒸馏""prompt alchemist""帮我看看这个提示词" - 直接粘贴提示词文本（无需指令，自动进入优化流程） ## 输出特色 - 三级输出：简单任务只输出诊断+成品，复杂任务完整五段 - 原始质量评级：直观展示优化前后对比锚点 - 操作清单化：压缩步骤从"原则"改为"可执行操作表格" - 反模式防御：内置常见错误对照，防止过度优化
蒸馏四位顶级提示词工程师（Riley Goodside、涂津豪/推广CO-STAR、Sander Schulhoff、李继刚）的方法论，融合为"四元蒸馏框架"，自动优化用户提示词，提升AI回答质量。 激活方式 - "帮我优化提示词""改进我的Prompt""让AI回答更好" - "提示词蒸馏""prompt…
As a process F 35/100 · Will not run — References files that are not bundled: references/examples.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: 0. 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/examples.md - note
frontmatter-keyunknown frontmatter key "read_when"
Process rating: all ten parameters 35/100
- 0Tools and files. 1 referenced file(s) missing: references/examples.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. 67 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1840 tokens
- 100Running it twice. No mutating operations
- low The response is described with custom markup (18 tags): a typed call is more reliable
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
- +4Description does not say when NOT to use the skill (false activations)
- +3Output format is not stated: the model decides each time
- -273 emoji in the instructions: noise for the model
- +1No license
- +2Single-language instructions
- +5Description quotes 7 example trigger phrases
- +3Description length 320: enough signal without eating the budget
- +4Structure: 24 headings
- +3Step-by-step instructions: 67 items
- +4Has examples (6 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 68.