AD learning-planner
学习规划师——基于认知科学和学习理论，为用户制定个性化学习路径。当用户想学一个新主题、制定学习计划、或需要学习策略建议时使用。 适用场景： - "我想学XX"——新技能/新知识领域入门规划 - "帮我制定一个学习计划"——学习路径设计 - "XX领域该怎么学？"——领域学习策略 - "我要在X个月内学会XX"——有时间约束的学习规划 - "学XX需要什么基础？"——前置知识评估 - "这个学习计划合理吗？"——学习方案评审 - "怎么高效学习XX？"——学习方法论指导 - "我学不进去怎么办？"——学习障碍诊断 - "帮我拆解XX这个主题"——知识图谱化 - 任何涉及"学习、规划、进步、提升、入门、精通"的问题
学习规划师——基于认知科学和学习理论，为用户制定个性化学习路径。当用户想学一个新主题、制定学习计划、或需要学习策略建议时使用。 适用场景： - "我想学XX"——新技能/新知识领域入门规划 - "帮我制定一个学习计划"——学习路径设计 - "XX领域该怎么学？"——领域学习策略 -…
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.
- 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: 7. 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 (learning-planner) differs from the folder (self-learning-planner)
- 100Tools and files. No external tools needed
- 100Steps. 165 steps
- 100Execution cost. Instruction body is 2494 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
- +4Description does not say when NOT to use the skill (false activations)
- +3Output format is not stated: the model decides each time
- +4No input/output examples
- -214 emoji in the instructions: noise for the model
- +1No license
- +2Single-language instructions
- +5Description quotes 9 example trigger phrases
- +3Description length 310: enough signal without eating the budget
- +4Structure: 39 headings
- +3Step-by-step instructions: 165 items
- +4Reference files are cited in the instructions (4 of 4)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 75.