Tushare Data
zillionare/zillionare
面向中文自然语言的 Tushare 数据研究技能。用于把“看看这只股票最近怎么样”“帮我查财报趋势”“最近哪个板块最强”“北向资金在买什么”“给我导出一份行情数据”这类请求，转成可执行的数据获取、清洗、对比、筛选、导出与简要分析流程。适用于 A 股、指数、ETF/基金、财务、估值、资金流、公告新闻、板块概念与宏观数据等研究场景。
Implement StreamHub real-time indicators — base-class choice (ChainHub, BarProvider, StreamHub), constructor and ToIndicator conventions, RollbackState overrides, per-tick performance rules…
Install Indicator Stream
$ npx skills add facioquo/stock-indicators-dotnet --skill indicator-stream -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install facioquo/stock-indicators-dotnet indicator-stream --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/facioquo/stock-indicators-dotnet.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/indicator-stream .claude/skills/indicator-stream && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "indicator-stream" agent skill from https://github.com/facioquo/stock-indicators-dotnet/tree/main/.agents/skills/indicator-stream into .claude/skills/indicator-stream/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "indicator-stream", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/facioquo/stock-indicators-dotnet/tree/main/.agents/skills/indicator-streamType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add facioquo/stock-indicators-dotnet --skill indicator-stream -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install facioquo/stock-indicators-dotnet indicator-stream --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/facioquo/stock-indicators-dotnet.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/indicator-stream .agents/skills/indicator-stream && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "indicator-stream" agent skill from https://github.com/facioquo/stock-indicators-dotnet/tree/main/.agents/skills/indicator-stream into .agents/skills/indicator-stream/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "indicator-stream", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add facioquo/stock-indicators-dotnet --skill indicator-stream -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install facioquo/stock-indicators-dotnet indicator-stream --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/facioquo/stock-indicators-dotnet.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/indicator-stream .cursor/skills/indicator-stream && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "indicator-stream" agent skill from https://github.com/facioquo/stock-indicators-dotnet/tree/main/.agents/skills/indicator-stream into .cursor/skills/indicator-stream/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "indicator-stream", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/facioquo/stock-indicators-dotnet.git --path .agents/skills/indicator-stream--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add facioquo/stock-indicators-dotnet --skill indicator-stream -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install facioquo/stock-indicators-dotnet indicator-stream --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/facioquo/stock-indicators-dotnet.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/indicator-stream .gemini/skills/indicator-stream && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "indicator-stream" agent skill from https://github.com/facioquo/stock-indicators-dotnet/tree/main/.agents/skills/indicator-stream into .gemini/skills/indicator-stream/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "indicator-stream", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install facioquo/stock-indicators-dotnet indicator-streamInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add facioquo/stock-indicators-dotnet --skill indicator-stream -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/facioquo/stock-indicators-dotnet.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/indicator-stream .github/skills/indicator-stream && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "indicator-stream" agent skill from https://github.com/facioquo/stock-indicators-dotnet/tree/main/.agents/skills/indicator-stream into .github/skills/indicator-stream/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "indicator-stream", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add facioquo/stock-indicators-dotnet --skill indicator-stream -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install facioquo/stock-indicators-dotnet indicator-stream --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/facioquo/stock-indicators-dotnet.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/indicator-stream .opencode/skills/indicator-stream && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "indicator-stream" agent skill from https://github.com/facioquo/stock-indicators-dotnet/tree/main/.agents/skills/indicator-stream into .opencode/skills/indicator-stream/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "indicator-stream", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
indicator-stream- GitHub stars
- 1.2k
- Token cost
- ~1.6k tokens
- SKILL.md length
- 614 words
- Files
- 5 (incl. references)
- Skills in repo
- 10
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Implement StreamHub real-time indicators — base-class choice (ChainHub, BarProvider, StreamHub), constructor and ToIndicator conventions, RollbackState overrides, per-tick performance rules…
- Editing a src/Indicators//{Name}Hub.cs file
- SKILL.md covers Choose a base class, Hub shape, Per-tick cost and Rollback state, plus 3 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Its {Name}HubTests.cs
What it does
Indicator Stream is an agent skill from facioquo/stock-indicators-dotnet. Implement StreamHub real-time indicators — base-class choice (ChainHub, BarProvider, StreamHub), constructor and ToIndicator conventions, RollbackState overrides, per-tick performance rules, compound hubs, and the stream-specific test interfaces. Use when creating or editing a src/Indicators//{Name}Hub.cs file or its {Name}HubTests.cs, when a hub test fails Series parity after late arrival, removal, or pruning, or when a Stream benchmark shows a hub is slow.
Its SKILL.md is about 1.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including reference files (for example `references/compound-hubs.md`, `references/performance-patterns.md` and `references/provider-selection.md`).
It sits in Business, Finance & HR, covering Trading and backtesting. The repository describes itself as: Stock Indicators for .NET is a C NuGet package that transforms raw equity, commodity, forex, or cryptocurrency financial market price quotes into technical indicators and trading… The licence is Apache-2.0.
When your agent uses it
- Editing a src/Indicators//{Name}Hub.cs file
- Its {Name}HubTests.cs
- A hub test fails Series parity after late arrival
- A Stream benchmark shows a hub is slow
Example prompts
- “/indicator-stream”
What it can do on your machine
Read from SKILL.md and the folder at commit e439ae4. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are csharp).
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Indicator Stream loads about 1.6k tokens when it runs, and up to ~5.4k if it reads all its reference files. Until then it costs about 120 tokens; SKILL.md has 614 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from facioquo/stock-indicators-dotnet at commit e439ae4, republished under its Apache-2.0 licence (© facioquo). 614 words, ~1,644 tokens.
Download SKILL.mdSave it as
.claude/skills/indicator-stream/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.- name
- indicator-stream
- description
- Implement StreamHub real-time indicators — base-class choice (ChainHub, BarProvider, StreamHub), constructor and ToIndicator conventions, RollbackState overrides, per-tick performance rules, compound hubs, and the stream-specific test interfaces. Use when creating or editing a src/Indicators/**/{Name}Hub.cs file or its {Name}HubTests.cs, when a hub test fails Series parity after late arrival, removal, or pruning, or when a Stream benchmark shows a hub is slow.
StreamHub indicator development
A hub computes one result per provider item, incrementally, and must match the Series result exactly — including after late arrivals, removals, and pruning. The indicator-series skill owns the full per-indicator file set and completion checklist; this skill covers only the hub.
Load the reference that matches the moment:
- Choosing a base class, or the hub is not one-result-per-input (aggregator, Renko-style) → provider selection
- Adding any stateful field, or a hub test fails after late arrival or removal → rollback patterns
- Writing
ToIndicator, or a Stream benchmark is slow → performance patterns - The hub needs another hub's output as input (StochRSI on RSI, Gator on Alligator) → compound hubs
Choose a base class
| Input | Output | Base class | Example |
|---|---|---|---|
| Single value | Chainable (IReusable) | ChainHub<IReusable, TResult> | EmaHub, RsiHub |
| OHLCV bar | Chainable (IReusable) | ChainHub<IBar, TResult> | AdxHub, AtrHub |
| OHLCV bar | Multi-value, not chainable | StreamHub<IBar, TResult> | DonchianHub, KeltnerHub |
| Single value | Multi-value, not chainable | StreamHub<IReusable, TResult> | AlligatorHub |
| OHLCV bar | Bar (IBar) | BarProvider<IBar, TResult> | HeikinAshiHub, RenkoHub |
ChainHub requires TResult : IReusable; BarProvider requires TResult : IBar. Only those two can feed general downstream hubs; a compound hub typed to a specific result, such as GatorHub : StreamHub<AlligatorResult, GatorResult>, can also consume a StreamHub output.
Hub shape
Follow EmaHub (src/Indicators/e-j/Ema/EmaHub.cs):
public class EmaHub
: ChainHub<IReusable, EmaResult>, IEma
{
internal EmaHub(
IChainProvider<IReusable> provider,
int lookbackPeriods) : base(provider)
{
Ema.Validate(lookbackPeriods);
LookbackPeriods = lookbackPeriods;
K = 2d / (lookbackPeriods + 1);
Name = $"EMA({lookbackPeriods})";
ValidateCacheSize(lookbackPeriods, Name);
Reinitialize();
}
protected override (EmaResult result, int index)
ToIndicator(IReusable item, int? indexHint)
{
ArgumentNullException.ThrowIfNull(item);
int i = indexHint ?? ProviderCache.IndexOf(item, true);
// compute from ProviderCache[i], Cache[i - 1], and incremental state
// ...
return (result, i);
}
}- The constructor is
internal; the public entry point is aTo{Name}Hub(this IChainProvider<IReusable> …)or(this IBarProvider<IBar> …)extension in the indicator's static partial class. - Initialize every field
ToIndicatorreads before callingReinitialize(), and call it last: it replays the provider's existing history throughToIndicator. - Set
Namein the constructor; the baseToString()returns it and the hub test asserts it. - Call
ValidateCacheSize(warmupPeriods, Name)with the indicator's warmup length so a too-smallMaxCacheSizefails at construction.
Per-tick cost
ToIndicator runs once per provider item. Its cost must not grow with history length: read Cache[i - 1] or keep incremental state, never re-run a Series method or loop back to index 0. A scan bounded by the lookback window is acceptable. The performance-testing skill owns the overhead targets and benchmark authoring.
Rollback state
Any field that carries state between ToIndicator calls (buffers, running sums, smoothed averages, previous values) needs a RollbackState(int restoreIndex) override. restoreIndex is the last ProviderCache index to keep, or -1 to reset everything; rebuild state as if items [0..restoreIndex] had just been processed. The base class owns the call order and locking (documented in src/Common/AGENTS.md).
protected override void RollbackState(int restoreIndex)
{
_window.Clear();
if (restoreIndex < 0) { return; }
int startIdx = Math.Max(0, restoreIndex + 1 - LookbackPeriods);
for (int p = startIdx; p <= restoreIndex; p++)
{
_window.Add(ProviderCache[p].Value);
}
}A hub whose ToIndicator reads only ProviderCache and Cache (like EmaHub) needs no override.
Show full SKILL.md (220 more words)Show less
Tests
{Name}HubTests inherits StreamHubTestBase. Pick the observer interface by input type — ITestChainObserver for IReusable input, ITestBarObserver for IBar input — and add ITestChainProvider when the hub derives from ChainHub or BarProvider. The testing-standards skill owns the required methods and assertion patterns.
Hub-specific completion items
src/Indicators/{range}/{Name}/{Name}Hub.csholds the hub class and itsTo{Name}Hubextension.- Every stateful field is restored by
RollbackStateand, if it tracks absolute positions, adjusted byPruneState. tests/Library/Indicators/{range}/{Name}/{Name}HubTests.cspasses, including late-arrival, removal, and pruning parity.tools/performance/Perf.Stream.cshas a benchmark for the hub.
Do not do these
- Do not recompute history inside
ToIndicator(calling.To{Name}()on a subset, or looping from index 0). It turns streaming into O(n²). - Do not detect rebuilds inside
ToIndicator(for example by comparingito a last-processed index). The base class callsRollbackStatefor every rollback. - Do not re-emit results or touch
CachefromRollbackState. The base class removes and replays results after it returns. - Do not create a hub inside
ToIndicator. Construct any internal hub once, in the constructor. - Do not store a
CircularDoubleBufferin areadonlyfield. It is a mutable struct, soAddon a readonly field mutates a copy and the window never fills. - Do not call
Add,RemoveAt,RemoveRange, or a secondReinitializeon a subscribed hub. They throw on non-root hubs; drive changes through the rootBarHuborTradeTickHub.
© facioquo, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 4 other files (references) in .agents/skills/indicator-stream of facioquo/stock-indicators-dotnet.
- SKILL.md
- references/compound-hubs.md
- references/performance-patterns.md
- references/provider-selection.md
- references/rollback-patterns.md
Open the folder on GitHubat commit e439ae4
Compare with similar skills
Indicator Stream next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Indicator Stream this skillfacioquo/stock-indicators-dotnet | 1.2k | — | ~1.6k | Automated safety check: Pass | Apache-2.0 | |
| Tushare Datazillionare/zillionare | 319 | 2 repos | ~2.3k | Automated safety check: Pass | None | |
| Tradingview MCPatilaahmettaner/tradingview-mcp | 5k | — | ~1.3k | Automated safety check: Pass | MIT | |
| Digital Oraclekomako-workshop/digital-oracle | 870 | — | ~5.9k | Automated safety check: Pass | MIT | |
| Fintoolsecond-state/fintool | 316 | 1 repos | ~5.9k | Automated safety check: Pass | None | |
| Polyclawchainstacklabs/polyclaw | 360 | 1 repos | ~2k | Automated safety check: Pass | Apache-2.0 |
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Questions about Indicator Stream
What does Indicator Stream do?
Implement StreamHub real-time indicators — base-class choice (ChainHub, BarProvider, StreamHub), constructor and ToIndicator conventions, RollbackState overrides, per-tick performance rules…. Indicator Stream is an agent skill from facioquo/stock-indicators-dotnet. Implement StreamHub real-time indicators — base-class choice (ChainHub, BarProvider, StreamHub), constructor and ToIndicator conventions, RollbackState overrides, per-tick performance rules, compound hubs, and the stream-specific test interfaces.
When should I use Indicator Stream?
Indicator Stream fits situations like: editing a src/Indicators//{Name}Hub.cs file; its {Name}HubTests.cs; A hub test fails Series parity after late arrival; A Stream benchmark shows a hub is slow.
How do I install Indicator Stream in Claude Code?
Run `npx skills add facioquo/stock-indicators-dotnet --skill indicator-stream -a claude-code`. Or copy the skill folder (.agents/skills/indicator-stream in facioquo/stock-indicators-dotnet) into .claude/skills/indicator-stream in your project. Claude Code loads it when a task matches its description.
How do I install Indicator Stream in Codex?
Run `npx skills add facioquo/stock-indicators-dotnet --skill indicator-stream -a codex`. Or copy the skill folder (.agents/skills/indicator-stream in facioquo/stock-indicators-dotnet) into .agents/skills/indicator-stream in your project. Codex loads it when a task matches its description.
Can I use Indicator Stream in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add facioquo/stock-indicators-dotnet --skill indicator-stream -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/indicator-stream, .gemini/skills/indicator-stream, .github/skills/indicator-stream and .opencode/skills/indicator-stream in your project.
What does Indicator Stream need to run?
SKILL.md names no scripts, command-line tools or credentials: Indicator Stream is instructions for the agent only.
Does Indicator Stream access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Indicator Stream safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Indicator Stream use?
Indicator Stream is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Indicator Stream use?
About 1.6k tokens (SKILL.md is roughly 6.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 3.7k tokens, read only when the agent opens those files.
What are the alternatives to Indicator Stream?
Skills that share tags, products or a category with Indicator Stream: Tushare Data (zillionare/zillionare, 319 stars), Tradingview MCP (atilaahmettaner/tradingview-mcp, 5k stars), Digital Oracle (komako-workshop/digital-oracle, 870 stars) and Fintool (second-state/fintool, 316 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Indicator Stream?
facioquo (a GitHub organization) maintains it in facioquo/stock-indicators-dotnet, which has 1,247 GitHub stars. The repository holds 10 skills in this directory. The repository was last updated on October 7, 2026.
Source: facioquo/stock-indicators-dotnet on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.