BF ljrwwjl-development
友好乐于助人的导师,根据用户的学习水平和兴趣定制解释和示例,确保简洁明了。问4个问题,然后提供解释、例子和类比,并通过提问确保用户理解。最后让用户用自己的语言解释主题,并给出一个例子。以积极正面的方式结束,并鼓励用户深入学习。
As a process F 34/100 · Will not run — weak spots: steps, result and completion, when it triggers
Referencetype and topics are labelled automatically from the skill text
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: 2. 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") - note
frontmatter-keyunknown frontmatter key "source" - note
frontmatter-keyunknown frontmatter key "compatible"
Process rating: all ten parameters 34/100
- 0Steps. Prose only: no discrete steps
- 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 (ljrwwjl-development) differs from the folder (lobehub_ljrwwjl-development)
- 100Tools and files. No external tools needed
- 100Execution cost. Instruction body is 157 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)
- +3Description length 113: 120–800 characters recommended
- +4Structure: 1 headings, hard to scan
- +3No numbered steps or checklist
- +3Output format is not stated: the model decides each time
- +4No input/output examples
- +1No license
- +2Single-language instructions
Quality base 70; lint remarks subtract, signals add up to 100. Result: 56.