BD 计算器服务
一个功能完整的基于 Model Context Protocol (MCP) 的计算器服务器，提供丰富的数学运算功能，包括基础算术、根式运算、三角函数、对数运算、统计学、组合数学、数论、复数运算、矩阵运算、数值分析、金融计算、单位转换和几何计算等 13 个专业数学模块。
一个功能完整的基于 Model Context Protocol (MCP) 的计算器服务器，提供丰富的数学运算功能，包括基础算术、根式运算、三角函数、对数运算、统计学、组合数学、数论、复数运算、矩阵运算、数值分析、金融计算、单位转换和几何计算等 13 个专业数学模块。
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.
- The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
- 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: 7. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
name-formatname should be kebab-case (lowercase letters, digits, hyphens) - warning
description-no-whendescription does not say WHEN to use the skill (no "use when") - warning
body-longSKILL.md body ≈ 6123 tokens (recommended < 5000); move details to references/
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
- 20When it triggers. No condition that starts the skill
- 40Consistency. Frontmatter name (计算器服务) differs from the folder (xby-calculator)
- 70Execution cost. Instruction body is 6123 tokens
- 100Tools and files. No external tools needed
- 100Steps. 14 steps
- 100Running it twice. No mutating operations
- 100Progress reporting. Reports progress
- low 108 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 135: enough signal without eating the budget
- +4Structure: 211 headings
- +3Step-by-step instructions: 14 items
- +4Has examples (2 code blocks)
- +3All 4 scripts are documented
Quality base 70; lint remarks subtract, signals add up to 100. Result: 60.