SKILLEMALL.ai

CD ashare-if-cffex-position

当用户需要从中金所(cffex.com.cn)获取股指期货(IF/IH/IC/IM)席位持仓、统计机构净多空、计算净增对比、分析主力席位动向、或自动生成每日持仓统计报告/邮件时使用。关键修正:datatypeid=1 是持买单量(多单)、=2 是持卖单量(空单)、=0 是套利(不计入多空净持仓);净增对比使用官方 varvolume(比上交易日增减)字段直接求和,而非“当日−前日”自行相减。

ClawHub Hermes author: fangxingv5 v1.0.1 MIT-0 12 files body ≈ 922 tokens Open the sourceclawhub.ai analyzed 2 d ago

当用户需要从中金所(cffex.com.cn)获取股指期货(IF/IH/IC/IM)席位持仓、统计机构净多空、计算净增对比、分析主力席位动向、或自动生成每日持仓统计报告/邮件时使用。关键修正:datatypeid=1 是持买单量(多单)、=2 是持卖单量(空单)、=0 是套利(不计入多空净持仓);净增对比使用官方…

As a process D 43/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureFinancetype and topics are labelled automatically from the skill text
JSON
Technical rating
C
72/100
safety, quality, tests
Safety 60%
100
Quality 40%
30
Run on models
none yet
Process rating
D
43/100
Unfinished process
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.
  2. For Hermes the description must be one sentence under 60 characters; move the conditions to a "When to Use" section.
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: 12. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • error name-missing SKILL.md: frontmatter has no `name`
  • warning description-long-hermes description is 197 chars; the Hermes authoring standard requires ≤ 60 (one sentence, ending with a period)
  • warning description-no-when neither description nor a "## When to Use" section says when to use the skill
  • note frontmatter-key unknown frontmatter key "title"
  • note frontmatter-key unknown frontmatter key "summary"
  • note frontmatter-key unknown frontmatter key "homepage"

Process rating: all ten parameters 43/100

  • 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
  • 30Running it twice. 1 mutating operations with no state check
  • 60Tools and files. Uses tools (python) that frontmatter does not declare
  • 100Steps. 31 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 922 tokens
  • low 11 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)
  • +3Output format is not stated: the model decides each time
  • -4Absolute local paths (C:\Users, /home/…): not portable
  • +2Single-language instructions
  • +3Description length 197: enough signal without eating the budget
  • +4Structure: 12 headings
  • +3Step-by-step instructions: 31 items
  • +4Has examples (4 code blocks)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 30.

External checks

ClawHub: clean
This skill is a coherent finance-reporting helper that fetches public CFFEX position data and writes local cache/report files, with some integrity and invocation cautions but no evidence of hidden or harmful behavior.
LLM: benign (high) · VirusTotal: · 10 Aug 2026