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。
Design and verify Jev's paper-trading desks in OpenHarness's viewer, where Jev trades a synthetic market live.
Install Jev Trader
$ npx skills add autonomous-ai/openharness --skill jev-trader -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install autonomous-ai/openharness jev-trader --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/autonomous-ai/openharness.git skills-src && mkdir -p .claude/skills && cp -r skills-src/store/agents/jev-trader/skills/trader .claude/skills/jev-trader && 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 "jev-trader" agent skill from https://github.com/autonomous-ai/openharness/tree/main/store/agents/jev-trader/skills/trader into .claude/skills/jev-trader/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jev-trader", 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/autonomous-ai/openharness/tree/main/store/agents/jev-trader/skills/traderType 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 autonomous-ai/openharness --skill jev-trader -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install autonomous-ai/openharness jev-trader --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/autonomous-ai/openharness.git skills-src && mkdir -p .agents/skills && cp -r skills-src/store/agents/jev-trader/skills/trader .agents/skills/jev-trader && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "jev-trader" agent skill from https://github.com/autonomous-ai/openharness/tree/main/store/agents/jev-trader/skills/trader into .agents/skills/jev-trader/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jev-trader", 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 autonomous-ai/openharness --skill jev-trader -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install autonomous-ai/openharness jev-trader --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/autonomous-ai/openharness.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/store/agents/jev-trader/skills/trader .cursor/skills/jev-trader && 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 "jev-trader" agent skill from https://github.com/autonomous-ai/openharness/tree/main/store/agents/jev-trader/skills/trader into .cursor/skills/jev-trader/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jev-trader", 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/autonomous-ai/openharness.git --path store/agents/jev-trader/skills/trader--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 autonomous-ai/openharness --skill jev-trader -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install autonomous-ai/openharness jev-trader --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/autonomous-ai/openharness.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/store/agents/jev-trader/skills/trader .gemini/skills/jev-trader && 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 "jev-trader" agent skill from https://github.com/autonomous-ai/openharness/tree/main/store/agents/jev-trader/skills/trader into .gemini/skills/jev-trader/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jev-trader", 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 autonomous-ai/openharness jev-traderInstalls 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 autonomous-ai/openharness --skill jev-trader -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/autonomous-ai/openharness.git skills-src && mkdir -p .github/skills && cp -r skills-src/store/agents/jev-trader/skills/trader .github/skills/jev-trader && 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 "jev-trader" agent skill from https://github.com/autonomous-ai/openharness/tree/main/store/agents/jev-trader/skills/trader into .github/skills/jev-trader/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jev-trader", 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 autonomous-ai/openharness --skill jev-trader -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install autonomous-ai/openharness jev-trader --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/autonomous-ai/openharness.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/store/agents/jev-trader/skills/trader .opencode/skills/jev-trader && 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 "jev-trader" agent skill from https://github.com/autonomous-ai/openharness/tree/main/store/agents/jev-trader/skills/trader into .opencode/skills/jev-trader/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "jev-trader", 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
jev-trader- GitHub stars
- 1.2k
- Token cost
- ~630 tokens
- SKILL.md length
- 272 words
- Files
- 1
- Skills in repo
- 99
- Repo updated
- First seen
- Licence
- MIT
At a glance
Design and verify Jev's paper-trading desks in OpenHarness's viewer, where Jev trades a synthetic market live.
- Works in 3 steps: Update market.json (instrument,… → node "$JEV_DSH/toolchain/check.mjs"… → Watch the equity curve against…
- Tasks that involve Trading and backtesting
- SKILL.md covers The loop, Reading Jev, Verifying a desk and Driving Jev yourself
- Calls node; needs TYPESAFE_API_KEY
What it does
Jev Trader is an agent skill from autonomous-ai/openharness. Design and verify Jev's paper-trading desks in OpenHarness's viewer, where Jev trades a synthetic market live.
Its SKILL.md is about 630 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Business, Finance & HR, covering Trading and backtesting. The repository describes itself as: The ultimate harness for coding agents and beyond. All your agents. All your machines. One command center. Start with code, then follow your curiosity and build across… The licence is MIT.
When your agent uses it
- Tasks that involve Trading and backtesting
Example prompts
- “s paper-trading desks in OpenHarness”
- “/jev-trader”
Requirements
- A credential in TYPESAFE_API_KEY
Workflow steps
3 steps, taken from the first numbered list in SKILL.md.
- Update market.json (instrument, volatility, trend, drift, fee, style). The viewer watches it and
- node "$JEV_DSH/toolchain/check.mjs" verifies the workspace's market.json is valid and
- Watch the equity curve against buy-and-hold and the "right side of the trend" gauge. Does Jev
What it can do on your machine
Read from SKILL.md and the folder at commit 74c2733. 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
Shell commands in SKILL.md call:
node
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 these keys or tokens, usually read from environment variables:
TYPESAFE_API_KEY
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Jev Trader loads about 630 tokens when it runs. Until then it costs about 30 tokens; SKILL.md has 272 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 autonomous-ai/openharness at commit 74c2733, republished under its MIT licence (© autonomous-ai). 272 words, ~630 tokens.
Download SKILL.mdSave it as
.claude/skills/jev-trader/SKILL.md (or your agent's skills folder).- name
- jev-trader
- description
- Design and verify Jev's paper-trading desks in OpenHarness's viewer, where Jev trades a synthetic market live.
Jev Trader market design
Jev Trader shows a live paper-trading desk: Jev (TypeSafe's System One model) reads a synthetic
price tape + its own P&L and decides buy / hold / sell each tick. The agent designs market.json —
the market Jev trades and the style brief it follows.
The loop
- Update
market.json(instrument, volatility, trend, drift, fee, style). The viewer watches it and reframes Jev live — no restart, no second server. ChangingstartPrice,capital,seedorepisodeDaysrestarts the paper year. node "$JEV_DSH/toolchain/check.mjs"verifies the workspace'smarket.jsonis valid and reports the verdict. Run it before you call a desk done.- Watch the equity curve against buy-and-hold and the "right side of the trend" gauge. Does Jev
make coherent policy on your market — buy the trend, cut the losses — or just churn? That
observation is the finding.
.harness/verdict.jsoncarries the same numbers.
Reading Jev
The viewer shows Jev's last action (BUY/HOLD/SELL), shares, equity and confidence. A good desk
produces policy: Jev should react to the tape you gave it, not move the same way regardless of
your market. A decisive style brief + a real trend yields readable behavior; a flat, driftless
market makes any movement look like noise.
Verifying a desk
node "$JEV_DSH/toolchain/check.mjs" returns non-zero when market.json is invalid (bad price, ms,
capital). It doesn't replace watching the curve: confirm the market ticks, Jev's equity moves, and
its actions vary with the market rather than blindly holding.
Driving Jev yourself
toolchain/jev.mjs exports a small client. Example (from the workspace) — ask Jev's read on a
market before you commit:
node --input-type=module -e '
import { evaluate, jev } from "$JEV_DSH/toolchain/jev.mjs";
const res = await evaluate({
state: "Market: SYNTH, per-step volatility 0.05 with a strong upward drift. Would a momentum Jev be profitable with a buy-the-trend style?",
questions: {
edge: jev.noul("Is there a tradable edge here for a momentum trader?"),
churn: jev.score({0:"no",1:"some",2:"a lot"}, "How much would this market cause needless overtrading?"),
},
});
console.log(JSON.stringify(res.answers, null, 2));
'Without TYPESAFE_API_KEY this uses the deterministic mock; set the key to hit live Jev.
© autonomous-ai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in store/agents/jev-trader/skills/trader of autonomous-ai/openharness.
Open the folder on GitHubat commit 74c2733
Compare with similar skills
Jev Trader 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 |
|---|---|---|---|---|---|---|
| Jev Trader this skillautonomous-ai/openharness | 1.2k | — | ~630 | Automated safety check: Pass | MIT | |
| Tushare Datazillionare/zillionare | 321 | 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 | 875 | — | ~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 |
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Related
Categories
Questions about Jev Trader
What does Jev Trader do?
Design and verify Jev's paper-trading desks in OpenHarness's viewer, where Jev trades a synthetic market live. Jev Trader is an agent skill from autonomous-ai/openharness. Design and verify Jev's paper-trading desks in OpenHarness's viewer, where Jev trades a synthetic market live.
When should I use Jev Trader?
Jev Trader fits situations like: tasks that involve Trading and backtesting.
How do I install Jev Trader in Claude Code?
Run `npx skills add autonomous-ai/openharness --skill jev-trader -a claude-code`. Or copy the skill folder (store/agents/jev-trader/skills/trader in autonomous-ai/openharness) into .claude/skills/jev-trader in your project. Claude Code loads it when a task matches its description.
How do I install Jev Trader in Codex?
Run `npx skills add autonomous-ai/openharness --skill jev-trader -a codex`. Or copy the skill folder (store/agents/jev-trader/skills/trader in autonomous-ai/openharness) into .agents/skills/jev-trader in your project. Codex loads it when a task matches its description.
Can I use Jev Trader 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 autonomous-ai/openharness --skill jev-trader -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/jev-trader, .gemini/skills/jev-trader, .github/skills/jev-trader and .opencode/skills/jev-trader in your project.
What does Jev Trader need to run?
Going by SKILL.md and its folder, Jev Trader needs the command-line tools its instructions call (node) and credentials named TYPESAFE_API_KEY. Our summary lists: A credential in TYPESAFE_API_KEY.
Does Jev Trader 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 Jev Trader 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 Jev Trader use?
Jev Trader is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Jev Trader use?
About 630 tokens (SKILL.md is roughly 2.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Jev Trader?
Skills that share tags, products or a category with Jev Trader: Tushare Data (zillionare/zillionare, 321 stars), Tradingview MCP (atilaahmettaner/tradingview-mcp, 5k stars), Digital Oracle (komako-workshop/digital-oracle, 875 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.
Who maintains Jev Trader?
autonomous-ai (a GitHub organization) maintains it in autonomous-ai/openharness, which has 1,194 GitHub stars. The repository holds 99 skills in this directory. The repository was last updated on October 9, 2026.
Source: autonomous-ai/openharness on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.