SKILLEMALL.ai

BC a-stock-daily-market-sense

基于 Tushare Pro A 股日线与 Baostock 风格指数生成盘后市场研报。当用户要求分析每日或历史盘面、指数与市场风格、情绪和成交额集中度、赚钱效应与上涨主线、即时及短中期催化、主线细分线路、爆量下跌,或容量上涨、全市场月线平台突破、10:30 前涨停、折扣启动等特征分组时使用;也用于特征分组量化回溯与相对收益因子挖掘。本 skill 先生成确定性证据包,再由模型按模块判断与写作;脚本不调用 LLM,外部消息不得改变量价确定的主线星级,不套用现成行业/概念分类,不提供买卖建议。

ClawHub Agent Skills author: chinfi-codex v2.0.2 MIT-0 48 files body ≈ 2 576 tokens Open the sourceclawhub.ai analyzed 3 d ago

As a process C 51/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureInfrastructureAI and agentstype and topics are labelled automatically from the skill text
JSON
Technical rating
B
89/100
safety, quality, tests
Safety 60%
100
Quality 40%
73
Run on models
none yet
Process rating
C
51/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
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: 48. 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 51/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 50Failures and branches. 0 branches, has a failure section
  • 60Tools and files. Uses tools (web, python) that frontmatter does not declare
  • 100Steps. 21 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2576 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
  • -35 of 12 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +3Description length 248: enough signal without eating the budget
  • +4Structure: 9 headings
  • +3Step-by-step instructions: 21 items
  • +4Has examples (7 code blocks)
  • +4Reference files are cited in the instructions (2 of 3)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.

External checks

ClawHub: suspicious
The skill largely matches its A-share market-report purpose, but it deserves review because it uses broad local credential lookup and disables proxy environment settings while making third-party network calls.
LLM: suspicious (medium) · VirusTotal: · 14 Jul 2026