BD 数学计算协议服务
一个高性能的数学计算协议服务器，提供从基础算术到高级微积分和线性代数的全面数学计算功能。
一个高性能的数学计算协议服务器，提供从基础算术到高级微积分和线性代数的全面数学计算功能。
As a process D 43/100 · Unfinished process — weak spots: when it triggers, inputs and preconditions, failures and branches
ProcedureData and analyticsInfrastructuretype and topics are labelled automatically from the skill text
How to improve
- The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
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: 0. 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
body-longSKILL.md body ≈ 12357 tokens (recommended < 5000); move details to references/
Process rating: all ten parameters 43/100
- 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
- 30Running it twice. 4 mutating operations with no state check
- 40Consistency. Frontmatter name (数学计算协议服务) differs from the folder (xby-math)
- 40Execution cost. Instruction body is 12357 tokens: crowds the task out of the window
- 60Tools and files. Uses tools (bash, web) that frontmatter does not declare
- 60Result and completion. Output format stated, no completion criterion
- 85Steps. 44 steps, 3 vague phrases
- 100Progress reporting. Reports progress
- low 38 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)
- +3Description length 44: 120–800 characters recommended
- -213 emoji in the instructions: noise for the model
- +1No license
- +2Single-language instructions
- +4Structure: 61 headings
- +3Step-by-step instructions: 44 items
- +3Output format is stated explicitly
- +4Has examples (4 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 67.
External checks
ClawHub: suspicious
This math skill is a remote API wrapper that asks for and stores an API key, while its public description and many tool docs can make it look more local than it is.
LLM: suspicious (high) · VirusTotal: · 3 Jul 2026