Token导航 LogoToken导航TokenDH.com
研究检索需要联网github未标认证来源可访问许可证需确认审计通过

fxview-parquet-consumerfxview 镶木地板消费者

Agent Skill

fxview-parquet-consumer 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

485

周安装

20

GitHub Stars

38

下载量

158
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:fxview-parquet-consumer(fxview 镶木地板消费者)
来源仓库:https://github.com/terrylica/cc-skills
仓库路径:skills/fxview-parquet-consumer
安装命令:
npx skills add https://github.com/terrylica/cc-skills --skill fxview-parquet-consumer
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/terrylica/cc-skills --skill fxview-parquet-consumer

简介

fxview-parquet-consumer 用于查找、检索和筛选相关信息。

  • 适合在 Codex、Claude、Cursor、Gemini CLI 中根据关键词快速定位候选结果。
  • 通过 npx skills add 命令从指定仓库安装,需确认权限和维护状态。
  • 使用前应核实是否会触发联网、命令执行或文件读写操作。
  • 建议结合原始 README 和项目实际情况验证具体用法。

SKILL.md

FXView Tick Parquet Consumer

Read FXView tick data from Parquet files produced by the MT5 tick collection system.

Self-Evolving Skill: This skill improves through use. If instructions are wrong, parameters drifted, or a workaround was needed — fix this file immediately, don't defer. Only update for real, reproducible issues.

When to Use This Skill

Use this skill when:

  • Reading or querying FXView tick Parquet files
  • Building adapters or pipelines for FXView tick data
  • Writing DuckDB queries against tick data
  • Integrating tick data into Python or Rust pipelines
  • Checking tick data schema or file layout

Authoritative Source

https://github.com/terrylica/mql5/blob/05f7c82/docs/tick_research/SCHEMA_VERIFIED.md

This skill summarizes the verified schema. For full verification details, flags distributions, and row group internals, see the source document.

Schema

All 6 columns are non-nullable. Schema is identical between EURUSD and XAUUSD files.

ColumnArrow TypeDuckDB TypeNullableNotes
time_mscInt64BIGINTNOUnix epoch milliseconds
bidFloat64DOUBLENOBid price
askFloat64DOUBLENOAsk price
lastFloat64DOUBLENOAlways 0.0 for FXView forex -- IGNORE
volumeInt64BIGINTNOAlways 0 for FXView forex -- IGNORE
flagsUInt8UTINYINTNOMqlTick flags bitmask (3 values: 4, 130, 134)

Parquet Footer Metadata

Key-value pairs embedded in every file footer:

KeyExample ValuePurpose
symbolEURUSDBare symbol name (no FXVIEW_ prefix)
digits5 (EURUSD) / 2 (XAUUSD)Price decimal digits
brokerFXViewBroker name
created_at2026-03-24T10:32:35.101090+00:00File creation timestamp (RFC3339 UTC)

File Layout

Directory pattern: {base_path}/FXVIEW_{SYMBOL}/{YYYY}/{SYMBOL}_{YYYYMMDD}.parquet

Example: ~/.cache/opendeviationbar/ticks/FXVIEW_EURUSD/2026/EURUSD_20260323.parquet

IMPORTANT asymmetry: The directory uses the FXVIEW_ prefix (broker-qualified), but the filename and metadata use the bare symbol name. Do not mix these up.

Crash recovery files: {SYMBOL}_{YYYYMMDD}_1.parquet, _2.parquet, etc. Created when the EA restarts and finds an existing file for today. All segments are valid, complete Parquet files with footers.

XAUUSD Differences

PropertyEURUSDXAUUSD
digits52
Price scale~1.15~4400
Ticks/day~416K~929K
last/volumeAlways 0Always 0
Flag distribution53% bid+ask, 24% bid, 23% ask98% bid+ask, ~1% each bid/ask

XAUUSD has ~2.2x higher tick density than EURUSD.

DuckDB Consumption Examples

Read a single day

SELECT * FROM read_parquet('~/.cache/opendeviationbar/ticks/FXVIEW_EURUSD/2026/EURUSD_20260323.parquet');

Read all files for a symbol (glob)

SELECT * FROM read_parquet('~/.cache/opendeviationbar/ticks/FXVIEW_EURUSD/**/*.parquet');

Convert timestamp to human-readable

SELECT make_timestamp(time_msc * 1000) AS ts, bid, ask, ask - bid AS spread
FROM read_parquet('~/.cache/opendeviationbar/ticks/FXVIEW_EURUSD/2026/EURUSD_20260323.parquet');

Spread statistics

SELECT avg(ask - bid) AS avg_spread, max(ask - bid) AS max_spread
FROM read_parquet('~/.cache/opendeviationbar/ticks/FXVIEW_EURUSD/2026/EURUSD_20260323.parquet');

Flags distribution

SELECT flags, count(*) AS cnt, round(count(*) * 100.0 / sum(count(*)) OVER (), 2) AS pct
FROM read_parquet('...')
GROUP BY flags
ORDER BY cnt DESC;

Anti-Patterns

  • Do NOT use last or volume columns for FXView forex (always zero)
  • Do NOT assume FXVIEW_ prefix in filenames -- it is ONLY in the directory name
  • Do NOT use f64 for prices in Rust production code (use i64 fixed-point via digits metadata)
  • Do NOT expect time_msc in seconds -- it is MILLIseconds
  • Do NOT hardcode machine paths -- use pattern {base_path}/FXVIEW_{SYMBOL}/{YYYY}/{SYMBOL}_{YYYYMMDD}.parquet

Parquet Internals

  • Compression: ZSTD level 3
  • time_msc encoding: DELTA_BINARY_PACKED (optimal for monotonic timestamps, dictionary disabled)
  • flags encoding: Dictionary encoding (low cardinality -- 3 distinct values)
  • bid, ask, last, volume: Default (PLAIN + ZSTD)
  • Row groups: ~65,536 rows each (last group has remainder)
  • File size: ~1.35 MB for ~416K EURUSD ticks/day

Flags Bitmask Reference

ValueMeaning
4Ask price changed (TICK_FLAG_ASK)
130Bid changed + first tick marker (2+128)
134Bid+ask changed + first tick marker (2+4+128)

Troubleshooting

IssueCauseSolution
No files foundWrong base path or symbolCheck directory pattern with FXVIEW_ prefix
All last/volume are zeroNormal for FXView forexIgnore these columns for forex pairs
Timestamp looks wrongUsing seconds not mstime_msc is milliseconds -- multiply by 1000 for microseconds
Schema mismatchDifferent broker or versionVerify against SCHEMA_VERIFIED.md permalink
Multiple files same dayCrash recovery segmentsAll _N suffixed files are valid, union them

Post-Execution Reflection

After this skill completes, check before closing:

  1. Did the command succeed? — If not, fix the instruction or error table that caused the failure.
  2. Did parameters or output change? — If the underlying tool's interface drifted, update Usage examples and Parameters table to match.
  3. Was a workaround needed? — If you had to improvise (different flags, extra steps), update this SKILL.md so the next invocation doesn't need the same workaround.

Only update if the issue is real and reproducible — not speculative.

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

32.86%
按下载量换算52

Claude

31.06%
按下载量换算49

Cursor

17.07%
按下载量换算27

Gemini CLI

9.06%
按下载量换算14

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

继续浏览同类 Skills