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。
Fetch and explain TraderSpy's AI crypto futures signals: entry, take-profit ladder, stop, triggers, status against the live price, and how recent signals resolved.
$ npx skills add sickn33/agentic-awesome-skills --skill traderspy-trading-signals -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install sickn33/agentic-awesome-skills traderspy-trading-signals --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/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/traderspy-trading-signals .claude/skills/traderspy-trading-signals && 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 "traderspy-trading-signals" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/traderspy-trading-signals into .claude/skills/traderspy-trading-signals/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "traderspy-trading-signals", 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/sickn33/agentic-awesome-skills/tree/main/skills/traderspy-trading-signalsType 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 sickn33/agentic-awesome-skills --skill traderspy-trading-signals -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install sickn33/agentic-awesome-skills traderspy-trading-signals --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/traderspy-trading-signals .agents/skills/traderspy-trading-signals && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "traderspy-trading-signals" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/traderspy-trading-signals into .agents/skills/traderspy-trading-signals/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "traderspy-trading-signals", 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 sickn33/agentic-awesome-skills --skill traderspy-trading-signals -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install sickn33/agentic-awesome-skills traderspy-trading-signals --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/traderspy-trading-signals .cursor/skills/traderspy-trading-signals && 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 "traderspy-trading-signals" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/traderspy-trading-signals into .cursor/skills/traderspy-trading-signals/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "traderspy-trading-signals", 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/sickn33/agentic-awesome-skills.git --path skills/traderspy-trading-signals--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 sickn33/agentic-awesome-skills --skill traderspy-trading-signals -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install sickn33/agentic-awesome-skills traderspy-trading-signals --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/traderspy-trading-signals .gemini/skills/traderspy-trading-signals && 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 "traderspy-trading-signals" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/traderspy-trading-signals into .gemini/skills/traderspy-trading-signals/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "traderspy-trading-signals", 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 sickn33/agentic-awesome-skills traderspy-trading-signalsInstalls 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 sickn33/agentic-awesome-skills --skill traderspy-trading-signals -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/traderspy-trading-signals .github/skills/traderspy-trading-signals && 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 "traderspy-trading-signals" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/traderspy-trading-signals into .github/skills/traderspy-trading-signals/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "traderspy-trading-signals", 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 sickn33/agentic-awesome-skills --skill traderspy-trading-signals -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install sickn33/agentic-awesome-skills traderspy-trading-signals --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/sickn33/agentic-awesome-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/traderspy-trading-signals .opencode/skills/traderspy-trading-signals && 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 "traderspy-trading-signals" agent skill from https://github.com/sickn33/agentic-awesome-skills/tree/main/skills/traderspy-trading-signals into .opencode/skills/traderspy-trading-signals/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "traderspy-trading-signals", 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.
traderspy-trading-signalsFetch and explain TraderSpy's AI crypto futures signals: entry, take-profit ladder, stop, triggers, status against the live price, and how recent signals resolved.
Traderspy Trading Signals is an agent skill from sickn33/agentic-awesome-skills. Fetch and explain TraderSpy's AI crypto futures signals: entry, take-profit ladder, stop, triggers, status against the live price, and how recent signals resolved. Use for "latest signals".
Its SKILL.md is about 2.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/signal-fields.md`).
It sits in Business, Finance & HR, covering Trading and backtesting. The repository describes itself as: AAS Core is the local, agent-first control plane for complete catalog discovery, agent-owned selection, stack validation, and planning, backed by 2,400+ agentic skills. Includes… The licence is MIT.
Read from SKILL.md and the folder at commit 1c7bdea. It shows what the files ask for, not the result of running them.
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.
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Hosts in commands or code, which the agent is likely to contact:
mcp.traderspy.appAlso links to:
traderspy.appFrom URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Traderspy Trading Signals loads about 2.2k tokens when it runs, and up to ~3.2k if it reads all its reference files. Until then it costs about 54 tokens; SKILL.md has 1,201 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.
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.
The full file from sickn33/agentic-awesome-skills at commit 1c7bdea, republished under its MIT licence (© sickn33). 1,201 words, ~2,206 tokens.
.claude/skills/traderspy-trading-signals/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.TraderSpy's AI signals are automated reads of the market: a named preset fires when several technical conditions line up on one crypto futures pair, a validator scores the alignment, and the published signal carries an entry, a take-profit ladder, a stop and — later — what actually happened. The signals feed at https://traderspy.app/signals publishes every one with its resolved outcome. Your job is to fetch, translate and contextualise them; the decision stays with the user.
@traderspy-smart-money), not for indicator reads on a coin (@traderspy-technical-analysis).| Tool | Use it for | Key arguments |
|---|---|---|
get_signals | The list: newest first | limit 1–50 (default 20), skip, importance high / medium / low / all, coin |
get_signal_details | One signal in full, plus the live price | signalId (the id from the list) |
get_signal_stats | Aggregate hit rate over a window | period 4h / 8h / 24h / 7d |
Three argument behaviours that are easy to get wrong:
importance is inclusive downward. high returns high only, medium returns high AND
medium, low returns everything. To show "medium and above" pass medium, not low.coin is a prefix match on the pair name. BTC matches BTCUSDT and also BTCDOMUSDT;
check the coin field of each row before presenting "BTC signals".limit is what gets rendered. In hosts that draw signal cards, every fetched row becomes a
card. If the user asks for "the last 5", pass limit: 5 — do not fetch 20 and show 5.strategyName (the preset, e.g. "OBV Divergence Buy (4H)") · action buy / sell · timeframe
1h / 4h / 1d · price at trigger · targets[] as {label, type, pct} where pct is measured from
price · triggeredConditions[] in plain language · importance · signalStrength weak /
moderate / strong / very_strong · resolutionStatus · createdAt.
Convert target percentages to prices before showing them — users think in prices:
get_signal_stats, and do not call a
sub-1 R:R "bad" on its own).resolutionStatus is the outcome so far:
| Status | Meaning |
|---|---|
pending | Still inside its tracking window, nothing hit yet |
tp1_hit / tp2_hit / tp3_hit | Highest take-profit reached (a later stop touch does not downgrade it) |
profit_locked | Trend exhaustion detected before TP1; a partial gain was locked |
stop | Stop level touched before any take-profit |
expired | Window ended with neither side touched |
Outcomes are judged on 1-minute wicks, so "TP1 hit" means price actually traded there. The
tracking window is 24 × the signal timeframe (24h for a 1h signal, 4 days for a 4h signal); a 1h
signal that is still pending two days later is stale rather than alive.
"Latest signals" / "any setups?" → get_signals with the limit the user implies (default 10 if
they gave no number). Lead with the newest, group by side if several, and make the resolved ones
visible — a list that mixes three winners, two stops and five pending rows should say so.
"Signals for SOL" → get_signals with coin. If the result is empty, say there is no recent
signal on that pair rather than offering a different pair as if it were the same thing.
"Is this signal still valid?" / "Should I still care about it?" → get_signal_details, then
compare livePrice with the entry, TP1 and SL in the same units:
pending buy with livePrice below the SL price
is finished in everything but paperwork — say so)history.highestPrice / lowestPrice show the best and worst it has seen since entryindicatorValues are the readings at trigger time, not now; if the user wants the current
picture, hand off to technical-analysis rather than re-reading stale values as if they were live"How are the signals doing?" → get_signal_stats. Explain the number honestly: winRate is
hits ÷ (hits + stops) over signals CREATED in the window, so it ignores pending rows, and a 4h
window is a handful of signals. Prefer 7d for a track-record question and say how many signals
it rests on (total, pending).
For a list, ALWAYS use a compact table and keep one signal per row:
| Coin | Side | TF | Entry | TP1 | SL | Preset | Status | Age |
For one signal, use this order: headline (coin, side, timeframe, preset, importance) → the levels
as prices with the % in brackets → what triggered it (the triggeredConditions, lightly
rephrased) → where price is now versus entry / TP1 / SL → the outcome so far → the one-line risk
note. Quote livePrice with its timestamp when the answer depends on it.
Do not invent an "AI review" if aiReview is null — most signals do not carry one. When it exists,
report score and decision as the reviewer's opinion, not as a verdict.
For the full field glossary, including the indicatorValues keys, read
references/signal-fields.md.
Show me the latest AI signals.
Any signals on SOL right now?
Is the latest BTC signal still valid? Show me where price is against its entry, targets and stop.
How have the signals resolved over the last 7 days?https://mcp.traderspy.app/mcp, Streamable HTTP), authorized with OAuth or a personal key from https://traderspy.app/mcp. A free TraderSpy account is enough. Without the server the skill has no data to work from.@traderspy-technical-analysis (called technical-analysis in the text above, its upstream ID) - the current chart read on the signal's coin@traderspy-market-briefing - the freshest signals inside a market overview© sickn33, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 1 other file (references) in skills/traderspy-trading-signals of sickn33/agentic-awesome-skills.
Open the folder on GitHubat commit 1c7bdea
We found 5 copies of this SKILL.md (exact, near-identical or edited) in other folders, from 1 other GitHub owner. This page covers the copy in sickn33/agentic-awesome-skills, which our catalogue first saw on October 7, 2026.
Traderspy Trading Signals 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 |
|---|---|---|---|---|---|---|
| Traderspy Trading Signals this skillsickn33/agentic-awesome-skills | 47k | 1 repos | ~2.2k | Automated safety check: Pass | MIT | |
| Tushare Datazillionare/zillionare | 322 | 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 | 878 | — | ~5.9k | Automated safety check: Pass | MIT | |
| Polyclawchainstacklabs/polyclaw | 359 | 1 repos | ~2k | Automated safety check: Pass | Apache-2.0 | |
| Markdownfacioquo/stock-indicators-dotnet | 1.2k | — | ~812 | Automated safety check: Pass | Apache-2.0 |
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。
atilaahmettaner/tradingview-mcp
AI Trading Intelligence — live prices, 30+ technical indicators, backtesting (6 strategies), walk-forward overfitting detection, trade logs, equity curves, licensed news sentiment (Marketaux), and…
komako-workshop/digital-oracle
Answer prediction questions using market trading data, not opinions.
chainstacklabs/polyclaw
Trade on Polymarket via split + CLOB execution. An agent skill from chainstacklabs/polyclaw.
facioquo/stock-indicators-dotnet
Format and lint Markdown in this repository against GitHub Flavored Markdown and its markdownlint-cli2 configuration — headers, lists, code fences, callouts (VitePress containers on docs-site pages…
MobiusQuant/OpenMobius-skill
Provides multi-school trading Q&A, chart/OHLCV analysis, annotation, and fresh-market workflows covering ICT/SMC, ChanLun, Wyckoff, Price Action, Order Flow, VSA, and Elliott Wave.
sickn33/agentic-awesome-skills
Implements an interface in one of two named color modes, iridescent white or colorful black, from a parameterized starter that reports measured color intensity.
sickn33/agentic-awesome-skills
Saves a user's project decisions, rules and preferences into a project-local mdbase so later sessions and other agents can recover the intent.
sickn33/agentic-awesome-skills
Keeps project decisions, research and verified results available across coding-agent sessions through LWC memory, a document Wiki graph and a CodeGraph code index.
sickn33/agentic-awesome-skills
Guides an agent through assessing its own owner for cofounder fit, publishing an approved profile, and ranking complementary profiles other agents published for their owners.
sickn33/agentic-awesome-skills
Integracao com WhatsApp Business Cloud API (Meta). An agent skill from sickn33/agentic-awesome-skills.
sickn33/agentic-awesome-skills
Acts as a proxy for the Cline CLI, dispatching coding tasks one at a time, monitoring runs by hard evidence, relaying decisions to you and learning per-project preferences.
Categories
Fetch and explain TraderSpy's AI crypto futures signals: entry, take-profit ladder, stop, triggers, status against the live price, and how recent signals resolved. Traderspy Trading Signals is an agent skill from sickn33/agentic-awesome-skills. Fetch and explain TraderSpy's AI crypto futures signals: entry, take-profit ladder, stop, triggers, status against the live price, and how recent signals resolved.
Traderspy Trading Signals fits situations like: tasks that involve Trading and backtesting.
Run `npx skills add sickn33/agentic-awesome-skills --skill traderspy-trading-signals -a claude-code`. Or copy the skill folder (skills/traderspy-trading-signals in sickn33/agentic-awesome-skills) into .claude/skills/traderspy-trading-signals in your project. Claude Code loads it when a task matches its description.
Run `npx skills add sickn33/agentic-awesome-skills --skill traderspy-trading-signals -a codex`. Or copy the skill folder (skills/traderspy-trading-signals in sickn33/agentic-awesome-skills) into .agents/skills/traderspy-trading-signals in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add sickn33/agentic-awesome-skills --skill traderspy-trading-signals -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/traderspy-trading-signals, .gemini/skills/traderspy-trading-signals, .github/skills/traderspy-trading-signals and .opencode/skills/traderspy-trading-signals in your project.
SKILL.md names no scripts, command-line tools or credentials: Traderspy Trading Signals is instructions for the agent only.
SKILL.md names 2 domains. In commands or code: mcp.traderspy.app; the agent is likely to contact it when it follows the instructions. As links in the text: traderspy.app. This is read from the text; nothing was executed.
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.
Traderspy Trading Signals is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 2.2k tokens (SKILL.md is roughly 8.8k 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 1k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Traderspy Trading Signals: Tushare Data (zillionare/zillionare, 322 stars), Tradingview MCP (atilaahmettaner/tradingview-mcp, 5k stars), Digital Oracle (komako-workshop/digital-oracle, 878 stars) and Polyclaw (chainstacklabs/polyclaw, 359 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
sickn33 (a GitHub user) maintains it in sickn33/agentic-awesome-skills, which has 47,443 GitHub stars. The repository holds 1,497 skills in this directory. The repository was last updated on October 10, 2026.
Source: sickn33/agentic-awesome-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.