SKILLEMALL.ai

AC break-watch

盘中放量上涨阳线股票扫描器。当用户询问盘中选股、放量突破、放量上涨、阳线筛选、盘中扫描、量比选股、突破选股、Break Watch,或提到'放量'、'上涨'、'阳线'、'盘中选股'、'量比'、'突增'等术语时触发此技能。通过通达信 pytdx 获取实时行情,筛选同时满足放量、上涨、收阳线三个条件的 A 股股票,输出结构化信号列表。

ClawHub Agent Skills author: hunkguo v1.0.0 MIT-0 16 files body ≈ 965 tokens Open the sourceclawhub.ai analyzed 3 d ago

盘中放量上涨阳线股票扫描器。当用户询问盘中选股、放量突破、放量上涨、阳线筛选、盘中扫描、量比选股、突破选股、Break Watch,或提到'放量'、'上涨'、'阳线'、'盘中选股'、'量比'、'突增'等术语时触发此技能。通过通达信 pytdx 获取实时行情,筛选同时满足放量、上涨、收阳线三个条件的 A…

As a process C 54/100 · Has gaps — weak spots: result and completion, when it triggers, failures and branches

ProcedureData and analyticsSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
A
90/100
safety, quality, tests
Safety 60%
100
Quality 40%
74
Run on models
none yet
Process rating
C
54/100
Has gaps
Result and completion w 14
0
Failures and branches w 10
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
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: 16. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")
  • note frontmatter-key unknown frontmatter key "agent_created"

Process rating: all ten parameters 54/100

  • 0Result and completion. Does not say what the result is
  • 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
  • 60Tools and files. Uses tools (python) that frontmatter does not declare
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Steps. 12 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 965 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)
  • +3Output format is not stated: the model decides each time
  • -4Absolute local paths (C:\Users, /home/…): not portable
  • +1No license
  • +2Single-language instructions
  • +3Description length 166: enough signal without eating the budget
  • +4Structure: 10 headings
  • +3Step-by-step instructions: 12 items
  • +4Has examples (4 code blocks)
  • +4Reference files are cited in the instructions (1 of 1)
  • +3All 1 scripts are documented

Quality base 70; lint remarks subtract, signals add up to 100. Result: 74.

External checks

ClawHub: clean
Break Watch is a disclosed stock-scanning skill that fetches market data and can write local scan outputs, with dependency hygiene issues but no evidence of deception, credential access, exfiltration, or destructive behavior.
LLM: benign (high) · VirusTotal: · 9 Jul 2026