BF good-name-skill
专业命名技能，用于中文个人取名、英文个人取名、公司/品牌命名，以及基于新增约束的多轮改名优化。当用户要求给宝宝、个人、英文身份、公司、品牌、产品线起名，或要求在指定含义、字母、风格、五行、行业、关键词等条件下重生成候选名时使用。先补齐关键信息，再读取对应 reference，输出至少 5 个带释义、推荐理由与风险提示的候选方案。
专业命名技能，用于中文个人取名、英文个人取名、公司/品牌命名，以及基于新增约束的多轮改名优化。当用户要求给宝宝、个人、英文身份、公司、品牌、产品线起名，或要求在指定含义、字母、风格、五行、行业、关键词等条件下重生成候选名时使用。先补齐关键信息，再读取对应 reference，输出至少 5…
As a process F 35/100 · Will not run — References files that are not bundled: references/chinese-naming-rules.md, references/english-naming-rules.md, references/company-naming-rules.md
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- The text references files that are not there: add them or drop the references.
- 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") - warning
missing-refreference to a missing file: references/chinese-naming-rules.md - warning
missing-refreference to a missing file: references/english-naming-rules.md - warning
missing-refreference to a missing file: references/company-naming-rules.md
Process rating: all ten parameters 35/100
- 0Tools and files. 3 referenced file(s) missing: references/chinese-naming-rules.md, references/english-naming-rules.md, references/company-naming-rules.md
- 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
- 100Steps. 75 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 915 tokens
- 100Running it twice. No mutating operations
- low 10 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
- +1No license
- +2Single-language instructions
- +3Description length 165: enough signal without eating the budget
- +4Structure: 22 headings
- +3Step-by-step instructions: 75 items
- +4Has examples (3 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 60.