BD self-reflection
三省吾身 - 深度自我审视与进化系统。基于角色理论、系统思维、认知偏差三大框架，通过五阶段闭环（反思→计划→执行→验证→固化）实现真正的自我进化。适用于任何需要深度反思的场景：项目复盘、工作改进、能力提升、习惯养成。
三省吾身 - 深度自我审视与进化系统。基于角色理论、系统思维、认知偏差三大框架，通过五阶段闭环（反思→计划→执行→验证→固化）实现真正的自我进化。适用于任何需要深度反思的场景：项目复盘、工作改进、能力提升、习惯养成。
As a process D 49/100 · 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.
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: 8. 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")
Process rating: all ten parameters 49/100
- 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
- 40Consistency. Frontmatter name (self-reflection) differs from the folder (kuro-self-reflection)
- 100Tools and files. No external tools needed
- 100Steps. 22 steps
- 100Execution cost. Instruction body is 3083 tokens
- 100Running it twice. No mutating operations
- low 13 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 108: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- -212 emoji in the instructions: noise for the model
- +1No license
- +2Single-language instructions
- +4Structure: 62 headings
- +3Step-by-step instructions: 22 items
- +4Has examples (19 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 67.