BD meta-learning
认知科学驱动的元学习教练。基于Barbara Oakley《学习之道》、Make It Stick、MIT/Stanford主动学习，提供：①直觉先于形式的深度教学 ②诊断最优知识结构的五维检验 ③面向考试或应用的刻意练习编排。触发词：学习方法、学习材料讲解、备考、复习策略、知识点理解、做题训练。
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: 9. 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 (meta-learning) differs from the folder (top-learner)
- 100Tools and files. No external tools needed
- 100Steps. 62 steps
- 100Execution cost. Instruction body is 943 tokens
- 100Running it twice. No mutating operations
- low 11 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)
- +3Output format is not stated: the model decides each time
- +4No input/output examples
- +2Single-language instructions
- +3Description length 149: enough signal without eating the budget
- +4Structure: 20 headings
- +3Step-by-step instructions: 62 items
- +4Reference files are cited in the instructions (6 of 6)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.
External checks
ClawHub: clean
This is a study-coaching skill that gives learning, exam-prep, and practice guidance without requesting special access or running code.
LLM: benign (high) · VirusTotal: · 29 May 2026