SKILLEMALL.ai

BC trading-sop

A股交易标准操作程序(SOP)总编排。从用户的自然语言输入出发,识别当前交易意图(盘前准备、盘中复盘、盘后复盘、个股深度研究、首板隔夜),按需编排调用现有技能流水线,最终输出可操作的决策建议。当用户提出日常交易操作、盘前准备、盘中复盘、盘后总结、全流程投研或个股深研请求时触发(包含触发词:今天怎么操作, 帮我做盘前, 复盘一下, 研究一下, 首板今晚要不要留, 当前市场适合买吗, 给我一套完整分析, 全流程分析, SOP, 操作建议, 我要开始做功课了, trading sop)。

ClawHub Agent Skills author: fize v1.0.0 MIT-0 12 files body ≈ 1 215 tokens Open the sourceclawhub.ai analyzed 35 h ago

A股交易标准操作程序(SOP)总编排。从用户的自然语言输入出发,识别当前交易意图(盘前准备、盘中复盘、盘后复盘、个股深度研究、首板隔夜),按需编排调用现有技能流水线,最终输出可操作的决策建议。当用户提出日常交易操作、盘前准备、盘中复盘、盘后总结、全流程投研或个股深研请求时触发(包含触发词:今天怎么操作…

As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureSoftware developmentInfrastructureData and analyticstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
88/100
safety, quality, tests
Safety 60%
100
Quality 40%
71
Run on models
none yet
Process rating
C
53/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
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
  • 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: 10. 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")

Process rating: all ten parameters 53/100

  • 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
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 100Tools and files. No external tools needed
  • 100Steps. 16 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1215 tokens
  • 100Running it twice. No mutating operations
  • medium 3 test cases, all positive: not one "should refuse" or "should ask first"

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
  • -2localhost URLs: will not work for another user
  • -32 of 3 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 243: enough signal without eating the budget
  • +4Structure: 12 headings
  • +3Step-by-step instructions: 16 items
  • +4Has examples (7 code blocks)
  • +4Reference files are cited in the instructions (3 of 3)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 71.

External checks

ClawHub: suspicious
The skill is mostly coherent as a trading-analysis orchestrator, but its optional local dashboard exposes report data through unsafe unauthenticated web APIs and vulnerable HTML rendering.
LLM: suspicious (high) · 9 Sept 2026