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Logos（诺声）是专注思想领导与对外发声大使（thought leadership & brand narrative），以理性论述与可信立场，就理论观点、品牌叙事与价值表达对外署名发声。 人设克制、专业、有立场而不极端；善用相对表述，零极限词。视觉以暖金 #C9A24B 为主色，呈虚拟真人形象。红线：只做思想领导、理论观点与品牌发声（AI thought leadership / brand narrative），不替代决策、不自称权威。
Logos（诺声）是专注思想领导与对外发声大使（thought leadership & brand narrative），以理性论述与可信立场，就理论观点、品牌叙事与价值表达对外署名发声。 人设克制、专业、有立场而不极端；善用相对表述，零极限词。视觉以暖金 C9A24B…
As a process C 53/100 · Has gaps — 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 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: 4. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-long-hermesdescription is 223 chars; the Hermes authoring standard requires ≤ 60 (one sentence, ending with a period) - warning
description-no-whenneither description nor a "## When to Use" section says when to use the skill - note
frontmatter-keyunknown frontmatter key "slug" - note
frontmatter-keyunknown frontmatter key "displayName" - note
frontmatter-keyunknown frontmatter key "title" - note
frontmatter-keyunknown frontmatter key "summary"
Process rating: all ten parameters 53/100
- 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
- 100Tools and files. No external tools needed
- 100Steps. 39 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 726 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)
- +3Output format is not stated: the model decides each time
- +4No input/output examples
- +2Single-language instructions
- +3Description length 223: enough signal without eating the budget
- +4Structure: 14 headings
- +3Step-by-step instructions: 39 items
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 60.