DD a-stock-quant-toolkit
(no description)
Not recommendedlow grade D
A股量化交易工具包，基于腾讯行情API（零依赖、免注册），提供完整的实时行情、技术指标、策略回测、监控评分、日报生成功能。 python
As a process D 44/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
ProcedureSoftware developmentData and analyticstype and topics are labelled automatically from the skill text
How to improve
- Add a description to the frontmatter: without it the skill never triggers.
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 · 1
✓ No critical or high findings
Medium and low: 1
-
low Dangerous commands
cmd-eval-dynamicfinance_toolkit/kds_strategy.py:1Dynamic code execution from decoded/untrusted input (code comment)#!/usr/bin/env python3"""kds_strategy.py — 使用 C RingBuffer 加速的量化策略把 kds.dll 的 RingBuffer 嵌入 A 股策略的 SMA 计算，替换 pandas rolling().mean()，减少内存分配和 GC 压力。用法: from kds_strategy import FastMAStrategy eng
comment
Files scanned: 17. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- error
frontmatterSKILL.md: no YAML frontmatter block found - error
name-missingSKILL.md: frontmatter has no `name` - error
description-missingSKILL.md: no `description` — the skill can never trigger
Process rating: all ten parameters 44/100
- 0Result and completion. Does not say what the result is
- 0When it triggers. No condition that starts the skill
- 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
- 60Tools and files. Uses tools (web, python) that frontmatter does not declare
- 100Steps. 14 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 835 tokens
- 100Running it twice. No mutating operations
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 0: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- -215 emoji in the instructions: noise for the model
- +1No license
- +2Single-language instructions
- +4Structure: 13 headings
- +3Step-by-step instructions: 14 items
- +4Has examples (7 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 0.
External checks
ClawHub: suspicious
This finance analysis skill is mostly purpose-aligned, but it needs Review because it includes under-disclosed process handoff and alert synchronization behavior.
LLM: suspicious (high) · 30 May 2026