AC second-brain-aphorism
Generate grounded Chinese reflections, aphorisms, maxims, quote-card lines, article endings, daily thoughts, or short "感悟" from the user's second brain, GBrain, llm-wiki, cognitive anchors, notes, and long-term questions. Use when the user asks for 感悟、箴言、金句、短句、每日一念、一段话、文章结尾、卡片文案, or asks to distill an idea from 第二大脑, GBrain, llm-wiki, wiki, notes, anchors, or personal knowledge context.
Generate grounded Chinese reflections, aphorisms, maxims, quote-card lines, article endings, daily thoughts, or short "感悟" from the user's second brain…
As a process C 55/100 · Has gaps — weak spots: result and completion, inputs and preconditions, consistency
How to improve
- For Hermes the description must be one sentence under 60 characters; move the conditions to a "When to Use" section.
- 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: 6. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-long-hermesdescription is 389 chars; the Hermes authoring standard requires ≤ 60 (one sentence, ending with a period)
Process rating: all ten parameters 55/100
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Consistency. Frontmatter name (second-brain-aphorism) differs from the folder (second-brain-maxim)
- 0Progress reporting. Says nothing while it works
- 30Running it twice. 1 mutating operations with no state check
- 60Failures and branches. 2 branches
- 70When it triggers. States when to use, but not when not to
- 100Tools and files. No external tools needed
- 100Steps. 42 steps
- 100Execution cost. Instruction body is 994 tokens
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
- +1No license
- +2Single-language instructions
- +3Description length 389: enough signal without eating the budget
- +4Structure: 6 headings
- +3Step-by-step instructions: 42 items
- +4Has examples (1 code blocks)
- +4Reference files are cited in the instructions (1 of 1)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 82.