AI-Trader Market Intel
HKUDS/AI-Trader
Reads AI-Trader's read-only market snapshots, grouped financial news and events board through its market-intel endpoints, for context before trading or posting.
Screens US stocks through an ESG lens, applies optional exclusion lists, scores the environmental, social and governance pillars and judges whether ESG quality is improving.
$ npx skills add Geeksfino/finskills --skill esg-screener -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Geeksfino/finskills esg-screener --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/Geeksfino/finskills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/US-market/esg-screener .claude/skills/esg-screener && 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 "esg-screener" agent skill from https://github.com/Geeksfino/finskills/tree/main/US-market/esg-screener into .claude/skills/esg-screener/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "esg-screener", 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/Geeksfino/finskills/tree/main/US-market/esg-screenerType 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 Geeksfino/finskills --skill esg-screener -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Geeksfino/finskills esg-screener --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Geeksfino/finskills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/US-market/esg-screener .agents/skills/esg-screener && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "esg-screener" agent skill from https://github.com/Geeksfino/finskills/tree/main/US-market/esg-screener into .agents/skills/esg-screener/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "esg-screener", 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 Geeksfino/finskills --skill esg-screener -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Geeksfino/finskills esg-screener --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Geeksfino/finskills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/US-market/esg-screener .cursor/skills/esg-screener && 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 "esg-screener" agent skill from https://github.com/Geeksfino/finskills/tree/main/US-market/esg-screener into .cursor/skills/esg-screener/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "esg-screener", 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/Geeksfino/finskills.git --path US-market/esg-screener--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 Geeksfino/finskills --skill esg-screener -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Geeksfino/finskills esg-screener --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Geeksfino/finskills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/US-market/esg-screener .gemini/skills/esg-screener && 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 "esg-screener" agent skill from https://github.com/Geeksfino/finskills/tree/main/US-market/esg-screener into .gemini/skills/esg-screener/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "esg-screener", 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 Geeksfino/finskills esg-screenerInstalls 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 Geeksfino/finskills --skill esg-screener -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Geeksfino/finskills.git skills-src && mkdir -p .github/skills && cp -r skills-src/US-market/esg-screener .github/skills/esg-screener && 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 "esg-screener" agent skill from https://github.com/Geeksfino/finskills/tree/main/US-market/esg-screener into .github/skills/esg-screener/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "esg-screener", 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 Geeksfino/finskills --skill esg-screener -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Geeksfino/finskills esg-screener --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Geeksfino/finskills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/US-market/esg-screener .opencode/skills/esg-screener && 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 "esg-screener" agent skill from https://github.com/Geeksfino/finskills/tree/main/US-market/esg-screener into .opencode/skills/esg-screener/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "esg-screener", 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.
esg-screenerScreens US stocks through an ESG lens, applies optional exclusion lists, scores the environmental, social and governance pillars and judges whether ESG quality is improving.
The agent acts as a sustainable investing analyst and starts by confirming the criteria with you: the universe (S&P 500 by default, or Russell 1000 or a custom list), the ESG approach (sector leaders by default, or exclusion, integration or thematic), the pillars in focus, the sector, any exclusions, how many companies to return (top 10 by default) and the comparison group.
It can then apply an exclusion screen covering categories such as tobacco, weapons, fossil fuels, adult entertainment, gambling, private prisons and severe controversies. Each company is scored from 0 to 100 on the environmental, social and governance pillars, weighted roughly a third each, and an ESG momentum step checks whether emissions, controversies, disclosure and targets are improving or deteriorating. References include an ESG framework and an output template, and the excerpt is cut off in the momentum step.
7 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 8722415. 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.
No URLs in SKILL.md.
From 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.
ESG Stock Screener loads about 1.4k tokens when it runs, and up to ~5k if it reads all its reference files. Until then it costs about 117 tokens; SKILL.md has 601 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 Geeksfino/finskills at commit 8722415, republished under its Apache-2.0 licence (© Geeksfino). 601 words, ~1,442 tokens.
.claude/skills/esg-screener/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.Act as a sustainable investing analyst. Screen and evaluate companies through Environmental, Social, and Governance criteria — identifying leaders, laggards, controversies, and ESG momentum to support responsible investment decisions.
Confirm with the user:
| Input | Options | Default |
|---|---|---|
| Universe | S&P 500 / Russell 1000 / Custom | S&P 500 |
| ESG approach | Best-in-class / Exclusion / Integration / Thematic | Best-in-class |
| Focus pillars | E, S, G, or all | All three |
| Sector | All or specific sector | All |
| Exclusions | Controversial sectors to exclude | None |
| Results | Number of companies | Top 10 |
| Comparison | Benchmark or peer group | Sector peers |
Common exclusion categories:
| Category | What Gets Excluded |
|---|---|
| Tobacco | Manufacturers (>10% revenue) |
| Weapons | Controversial weapons (cluster munitions, landmines, nuclear) |
| Fossil fuels | Coal mining, oil sands, Arctic drilling |
| Adult entertainment | Producers (>5% revenue) |
| Gambling | Operators (>10% revenue) |
| Private prisons | Operators and significant revenue from |
| Severe controversies | Companies with unresolved severe ESG controversies |
Score each company across E, S, and G pillars. See references/esg-framework.md for detailed criteria.
| Pillar | Weight | Key Metrics |
|---|---|---|
| Environmental (E) | 33% | Carbon intensity, emissions trajectory, climate risk management, resource efficiency |
| Social (S) | 33% | Employee practices, supply chain standards, product safety, community impact |
| Governance (G) | 34% | Board independence, executive pay, shareholder rights, accounting quality |
Within each pillar, score on a 0–100 scale using both quantitative data and qualitative assessment.
Assess whether ESG quality is improving or deteriorating:
| Signal | Improving | Deteriorating |
|---|---|---|
| Emissions trajectory | Declining YoY | Increasing YoY |
| Controversy trend | Fewer/lower severity | More/higher severity |
| ESG disclosure quality | Improving, more metrics reported | Stagnant or withdrawing |
| Target setting | Science-Based Targets, net-zero commitments | No targets or missed targets |
| ESG rating changes | Upgrades from major raters | Downgrades |
Screen for active ESG controversies:
| Severity | Examples | Impact |
|---|---|---|
| Critical | Environmental disasters, systematic fraud | Exclude or major negative score adjustment |
| High | Significant labor violations, data breaches | Major negative adjustment |
| Medium | Regulatory fines, product recalls | Moderate adjustment |
| Low | Minor incidents, resolved issues | Minimal impact |
Assess whether strong ESG correlates with financial quality:
| Metric | Purpose |
|---|---|
| ESG score vs ROE | Does ESG quality associate with profitability? |
| Controversy exposure vs volatility | Do controversies predict risk? |
| Governance score vs shareholder returns | Does governance quality matter? |
| Carbon intensity vs cost structure | Is carbon a financial risk? |
Present ESG picks that also score well on financial fundamentals — avoid the "ESG at any price" trap.
Format per references/output-template.md:
For live market data to support this analysis, use the FinData Toolkit skill (findata-toolkit-us). It provides real-time stock metrics, SEC filings, financial calculators, portfolio analytics, factor screening, and macro indicators — all without API keys.
© Geeksfino, 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
SKILL.md and 3 other files (references) in US-market/esg-screener of Geeksfino/finskills.
Open the folder on GitHubat commit 8722415
ESG Stock Screener 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 |
|---|---|---|---|---|---|---|
| ESG Stock Screener this skillGeeksfino/finskills | 282 | — | ~1.4k | Automated safety check: Pass | Apache-2.0 | |
| AI-Trader Market IntelHKUDS/AI-Trader | 23k | — | ~1.1k | Automated safety check: Pass | None | |
| Eastmoney Market DataHKUDS/Vibe-Trading | 35k | — | ~1k | Automated safety check: Pass | MIT | |
| Stock Deep Analysis Workflowwbh604/UZI-Skill | 7.1k | — | ~9.1k | Automated safety check: Notes | MIT | |
| Zhengxi Fund Manager Views Librarylyra81604/zhengxi-views | 1.8k | — | ~1.6k | Automated safety check: Pass | MIT | |
| SEC EDGAR Filings FetcherHKUDS/Vibe-Trading | 35k | — | ~1.4k | Automated safety check: Pass | MIT |
HKUDS/AI-Trader
Reads AI-Trader's read-only market snapshots, grouped financial news and events board through its market-intel endpoints, for context before trading or posting.
HKUDS/Vibe-Trading
Index of Eastmoney's free, no-token market data interfaces for China A-shares and Hong Kong stocks: fund flows, dragon-tiger lists, margin trading, reports and news.
wbh604/UZI-Skill
Runs a staged deep analysis of a single stock on China A-share, Hong Kong and US markets, ending in an HTML report with valuation models and investor-panel scores.
lyra81604/zhengxi-views
Answers questions with sourced quotes from one Chinese fund manager's public writings, applies his stated investment method and compares his words with real fund holdings.
HKUDS/Vibe-Trading
Fetches U.S. SEC EDGAR data: resolves tickers to CIK numbers, lists recent 10-K, 10-Q and 8-K filings with document URLs, and pulls XBRL financial series.
xbtlin/ai-berkshire
Scans a long-running industry trend for supply chain chokepoints, aiming to find second- and third-layer suppliers that the market has not yet priced in.
Geeksfino/finskills
Free Python scripts that fetch US stock data, SEC filings, insider trades and macro indicators, and run financial score calculators and portfolio analytics.
Geeksfino/finskills
Runs a forensic review of one company's financial statements covering DuPont profitability, earnings quality, financial health scores and fraud-risk signals.
Geeksfino/finskills
Screens a stock universe with a six-factor model, scores value, momentum, quality, low volatility, size and growth, ranks by composite score and notes which factors suit the macro regime.
Geeksfino/finskills
Compares leading tech stocks to separate hype-driven valuations from fundamentally justified ones and to flag undervalued names the market overlooks.
Geeksfino/finskills
Analyze Dividend Aristocrats (25+ years of consecutive dividend increases) for income reliability and total return.
Geeksfino/finskills
Identify and analyze corporate events that create mispricing opportunities, including M&A, spinoffs, buybacks, restructurings, and index changes.
Categories
Screens US stocks through an ESG lens, applies optional exclusion lists, scores the environmental, social and governance pillars and judges whether ESG quality is improving. The agent acts as a sustainable investing analyst and starts by confirming the criteria with you: the universe (S&P 500 by default, or Russell 1000 or a custom list), the ESG approach (sector leaders by default, or exclusion, integration or thematic), the pillars in focus, the sector, any exclusions, how many companies to return (top 10 by default) and the comparison group.
ESG Stock Screener fits situations like: screening a stock universe for ESG leaders and laggards; applying an exclusion list for sectors an investor wants to avoid; scoring a company or portfolio on environmental, social and governance criteria; checking whether a company's ESG record is improving.
Run `npx skills add Geeksfino/finskills --skill esg-screener -a claude-code`. Or copy the skill folder (US-market/esg-screener in Geeksfino/finskills) into .claude/skills/esg-screener in your project. Claude Code loads it when a task matches its description.
Run `npx skills add Geeksfino/finskills --skill esg-screener -a codex`. Or copy the skill folder (US-market/esg-screener in Geeksfino/finskills) into .agents/skills/esg-screener 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 Geeksfino/finskills --skill esg-screener -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/esg-screener, .gemini/skills/esg-screener, .github/skills/esg-screener and .opencode/skills/esg-screener in your project.
SKILL.md names no scripts, command-line tools or credentials: ESG Stock Screener is instructions for the agent only.
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.
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.
ESG Stock Screener is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.4k tokens (SKILL.md is roughly 5.8k 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 3.6k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with ESG Stock Screener: AI-Trader Market Intel (HKUDS/AI-Trader, 23k stars), Eastmoney Market Data (HKUDS/Vibe-Trading, 35k stars), Stock Deep Analysis Workflow (wbh604/UZI-Skill, 7.1k stars) and Zhengxi Fund Manager Views Library (lyra81604/zhengxi-views, 1.8k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Geeksfino (a GitHub user) maintains it in Geeksfino/finskills, which has 282 GitHub stars. The repository holds 30 skills in this directory. The repository was last updated on March 5, 2026.
Source: Geeksfino/finskills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.