Financial Research
firecrawl/web-agent
Pulls a public company's latest 10-K or 10-Q figures and analyst consensus from SEC EDGAR and Yahoo Finance, then cross-checks the two sources.
Interprets US company filings from SEC EDGAR (10-K, 10-Q, 8-K, proxy statements, Form 4) to pull out financials, risk factors and investment signals.
$ npx skills add HKUDS/Vibe-Trading --skill edgar-sec-filings -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install HKUDS/Vibe-Trading edgar-sec-filings --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/HKUDS/Vibe-Trading.git skills-src && mkdir -p .claude/skills && cp -r skills-src/agent/src/skills/edgar-sec-filings .claude/skills/edgar-sec-filings && 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 "edgar-sec-filings" agent skill from https://github.com/HKUDS/Vibe-Trading/tree/main/agent/src/skills/edgar-sec-filings into .claude/skills/edgar-sec-filings/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "edgar-sec-filings", 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/HKUDS/Vibe-Trading/tree/main/agent/src/skills/edgar-sec-filingsType 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 HKUDS/Vibe-Trading --skill edgar-sec-filings -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install HKUDS/Vibe-Trading edgar-sec-filings --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/HKUDS/Vibe-Trading.git skills-src && mkdir -p .agents/skills && cp -r skills-src/agent/src/skills/edgar-sec-filings .agents/skills/edgar-sec-filings && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "edgar-sec-filings" agent skill from https://github.com/HKUDS/Vibe-Trading/tree/main/agent/src/skills/edgar-sec-filings into .agents/skills/edgar-sec-filings/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "edgar-sec-filings", 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 HKUDS/Vibe-Trading --skill edgar-sec-filings -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install HKUDS/Vibe-Trading edgar-sec-filings --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/HKUDS/Vibe-Trading.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/agent/src/skills/edgar-sec-filings .cursor/skills/edgar-sec-filings && 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 "edgar-sec-filings" agent skill from https://github.com/HKUDS/Vibe-Trading/tree/main/agent/src/skills/edgar-sec-filings into .cursor/skills/edgar-sec-filings/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "edgar-sec-filings", 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/HKUDS/Vibe-Trading.git --path agent/src/skills/edgar-sec-filings--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 HKUDS/Vibe-Trading --skill edgar-sec-filings -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install HKUDS/Vibe-Trading edgar-sec-filings --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/HKUDS/Vibe-Trading.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/agent/src/skills/edgar-sec-filings .gemini/skills/edgar-sec-filings && 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 "edgar-sec-filings" agent skill from https://github.com/HKUDS/Vibe-Trading/tree/main/agent/src/skills/edgar-sec-filings into .gemini/skills/edgar-sec-filings/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "edgar-sec-filings", 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 HKUDS/Vibe-Trading edgar-sec-filingsInstalls 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 HKUDS/Vibe-Trading --skill edgar-sec-filings -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/HKUDS/Vibe-Trading.git skills-src && mkdir -p .github/skills && cp -r skills-src/agent/src/skills/edgar-sec-filings .github/skills/edgar-sec-filings && 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 "edgar-sec-filings" agent skill from https://github.com/HKUDS/Vibe-Trading/tree/main/agent/src/skills/edgar-sec-filings into .github/skills/edgar-sec-filings/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "edgar-sec-filings", 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 HKUDS/Vibe-Trading --skill edgar-sec-filings -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install HKUDS/Vibe-Trading edgar-sec-filings --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/HKUDS/Vibe-Trading.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/agent/src/skills/edgar-sec-filings .opencode/skills/edgar-sec-filings && 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 "edgar-sec-filings" agent skill from https://github.com/HKUDS/Vibe-Trading/tree/main/agent/src/skills/edgar-sec-filings into .opencode/skills/edgar-sec-filings/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "edgar-sec-filings", 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.
edgar-sec-filingsInterprets US company filings from SEC EDGAR (10-K, 10-Q, 8-K, proxy statements, Form 4) to pull out financials, risk factors and investment signals.
This skill supplies an analytical framework for reading SEC filings rather than fetching them. A table covers filing types with their frequency, key content and what each signals: 10-K for a full-year view, 10-Q for trend confirmation, 8-K for events such as M&A or a CEO change, DEF 14A for governance, Form 4 for insider buying and selling, 13F for institutional holdings and SC 13D/G for ownership stakes above 5%.
For retrieval it points to the read_url tool with EDGAR URLs, or to yfinance Ticker objects for structured data. The 10-K and 10-Q framework then walks through the income statement, looking at revenue growth, gross margin trend, SG&A as a share of revenue, R&D intensity and non-recurring items, and through the balance sheet, looking at net cash or debt, liquidity ratios, goodwill share and inventory days.
5 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 8e43007. 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 (its code samples are python).
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:
sec.govefts.sec.govFrom 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.
SEC EDGAR Filing Analysis loads about 3.1k tokens when it runs. Until then it costs about 55 tokens; SKILL.md has 844 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 HKUDS/Vibe-Trading at commit 8e43007, republished under its MIT licence (© HKUDS). 844 words, ~3,085 tokens.
.claude/skills/edgar-sec-filings/SKILL.md (or your agent's skills folder).Analyze US public company filings from SEC EDGAR to extract fundamental insights, risk signals, and investment-relevant information. Covers annual reports (10-K), quarterly reports (10-Q), current events (8-K), proxy statements (DEF 14A), and insider transactions (Form 4).
This skill provides the analytical framework for interpreting SEC filings. Data retrieval uses read_url tool with EDGAR URLs or yfinance Ticker objects for structured financial data.
| Filing | Frequency | Key Content | Signal Value |
|---|---|---|---|
| 10-K | Annual | Full-year financials, risk factors, MD&A, segment data | Comprehensive fundamental view |
| 10-Q | Quarterly | Quarterly financials, interim MD&A, legal updates | Trend confirmation / inflection detection |
| 8-K | Event-driven | Material events: M&A, CEO change, restatement, guidance | Catalyst / risk trigger |
| DEF 14A | Annual (proxy) | Executive comp, board composition, shareholder proposals | Governance quality signal |
| Form 4 | Within 2 days | Insider buys / sells | Insider conviction signal |
| 13F | Quarterly | Institutional holdings >$100M AUM | Smart money positioning |
| SC 13D/G | Event-driven | >5% ownership stake disclosure | Activist / strategic investor signal |
# Company filings search
# https://www.sec.gov/cgi-bin/browse-edgar?action=getcompany&CIK={ticker}&type={filing_type}
# Example: Apple 10-K filings
url = "https://www.sec.gov/cgi-bin/browse-edgar?action=getcompany&CIK=AAPL&type=10-K&dateb=&owner=include&count=10"
# EDGAR full-text search (EFTS)
# https://efts.sec.gov/LATEST/search-index?q={query}&dateRange=custom&startdt={start}&enddt={end}import yfinance as yf
ticker = yf.Ticker("AAPL")
# Financial statements (derived from 10-K/10-Q)
income = ticker.financials # Annual income statement
income_q = ticker.quarterly_financials # Quarterly
balance = ticker.balance_sheet # Balance sheet
cashflow = ticker.cashflow # Cash flow statement
# Insider transactions (derived from Form 4)
insider = ticker.insider_transactions
# Institutional holders (derived from 13F)
institutions = ticker.institutional_holders
major = ticker.major_holdersIncome Statement Focus:
Balance Sheet Focus:
Cash Flow Focus:
The MD&A section is the most qualitative and forward-looking part of the filing.
Key extraction targets:
Tone analysis signals:
# Simplified tone scoring
positive_words = ["growth", "improvement", "strong", "exceeded", "momentum", "opportunity"]
negative_words = ["challenging", "decline", "uncertainty", "headwind", "pressure", "risk"]
cautious_words = ["moderate", "cautious", "prudent", "measured", "selective"]
# Count frequency change vs prior filing
# Rising negative word count = deteriorating outlook
# Rising cautious words = management hedgingRisk factor change detection (10-K vs prior 10-K):
| Change Type | Signal | Action |
|---|---|---|
| New risk factor added | Material new risk identified | Deep dive on the specific risk |
| Risk factor removed | Risk resolved or deemed immaterial | Positive signal if genuine resolution |
| Language intensified | Risk escalating | Review exposure and hedging |
| Order changed (moved higher) | Risk priority elevated | Assess potential impact magnitude |
Common risk categories for US equities:
| Event Type | 8-K Item | Typical Price Impact | Time Sensitivity |
|---|---|---|---|
| Earnings pre-release | 2.02 | High | Immediate |
| M&A announcement | 1.01 | Very high | Immediate |
| CEO / CFO departure | 5.02 | Medium-high | Same day |
| Restatement | 4.02 | Very high (negative) | Immediate |
| Guidance revision | 7.01/8.01 | High | Same day |
| Credit agreement change | 1.01 | Low-medium | Monitor |
| Share repurchase program | 8.01 | Low positive | Background signal |
| Dividend change | 8.01 | Medium | Same day |
# High-priority 8-K events
if item == "4.02": # Restatement
signal = "strong_negative" # Restatements destroy trust
action = "review_all_prior_financials"
elif item == "2.02" and surprise_direction == "negative":
signal = "negative" # Earnings pre-announcement miss
elif item == "5.02" and role in ["CEO", "CFO"]:
signal = "uncertainty" # C-suite departure = governance risk
elif item == "1.01" and event_type == "acquisition":
signal = "evaluate" # M&A: acquirer usually -2 to -5%, target +20-40%| Pattern | Signal | Confidence |
|---|---|---|
| Cluster buying: 3+ insiders buying within 30 days | Strong bullish | High |
| CEO/CFO large open-market purchase (>$500K) | Bullish | High |
| Insider buying after price decline >20% | Contrarian bullish | Medium-high |
| Cluster selling at all-time highs | Neutral to mildly bearish | Low (may be pre-planned) |
| CFO selling >50% of holdings | Bearish | Medium |
| 10b5-1 plan sales | Neutral | Low (pre-programmed) |
Key distinctions:
# Insider signal scoring
def score_insider_activity(transactions, lookback_days=90):
buys = [t for t in transactions if t.type == "Purchase" and t.days_ago <= lookback_days]
sells = [t for t in transactions if t.type == "Sale" and t.days_ago <= lookback_days]
buy_value = sum(t.value for t in buys)
sell_value = sum(t.value for t in sells)
# Filter out 10b5-1 plan sales
organic_sells = [s for s in sells if not s.is_10b5_1]
if len(buys) >= 3 and buy_value > 1_000_000:
return "strong_bullish"
elif buy_value > sell_value * 2:
return "bullish"
elif len(organic_sells) >= 3 and sell_value > 5_000_000:
return "bearish_watch"
else:
return "neutral"Key metrics:
Institutional quality tiers:
# 13F change detection
def analyze_13f_changes(current_holders, prior_holders):
new_positions = current_holders - prior_holders # New entries
closed_positions = prior_holders - current_holders # Exits
# Flag: multiple Tier 1 funds initiating
tier1_new = [h for h in new_positions if h.tier == 1]
if len(tier1_new) >= 2:
signal = "strong_smart_money_accumulation"
return signalfiling_score = {
"financial_health": 0, # -2 to +2: based on 10-K/10-Q financials
"management_tone": 0, # -2 to +2: MD&A sentiment shift
"risk_factor_change": 0, # -2 to +2: new risks vs resolved risks
"insider_activity": 0, # -2 to +2: net insider buying/selling
"institutional_flow": 0, # -2 to +2: 13F position changes
"event_catalyst": 0, # -2 to +2: recent 8-K impact
}
# Total range: -12 to +12
# > +6: strong fundamental bullish
# +2 to +6: mild bullish
# -2 to +2: neutral
# < -2: fundamental caution## SEC Filing Analysis — [Ticker]
### Filing Summary
- **Latest 10-K/10-Q**: [date], [period]
- **Recent 8-K events**: [list material events]
- **Insider activity (90d)**: [net buy/sell summary]
### Financial Health
- Revenue trend: [accelerating / stable / decelerating]
- Margin trajectory: [expanding / stable / compressing]
- FCF conversion: [strong / adequate / weak]
- Balance sheet: [net cash / moderate leverage / high leverage]
### MD&A Tone Shift
- vs prior filing: [more optimistic / unchanged / more cautious]
- Key language changes: [specific quotes or paraphrases]
### Risk Factor Changes
- New risks: [list any new risk factors added]
- Intensified risks: [list risks with stronger language]
- Resolved risks: [list removed risk factors]
### Insider & Institutional Signals
- Insider net activity: [cluster buy / neutral / cluster sell]
- Institutional positioning: [accumulation / stable / distribution]
### Composite Signal
| Dimension | Score (-2~+2) | Basis |
|-----------|---------------|-------|
| Financial health | +1 | Revenue accelerating, margins stable |
| Management tone | -1 | More cautious language in MD&A |
| ... | ... | ... |
### Investment Implication
- Direction: [bullish / bearish / neutral]
- Confidence: [high / medium / low]
- Key monitoring: [next earnings date, upcoming 8-K triggers]© HKUDS, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in agent/src/skills/edgar-sec-filings of HKUDS/Vibe-Trading.
Open the folder on GitHubat commit 8e43007
SEC EDGAR Filing Analysis 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 |
|---|---|---|---|---|---|---|
| SEC EDGAR Filing Analysis this skillHKUDS/Vibe-Trading | 35k | — | ~3.1k | Automated safety check: Pass | MIT | |
| Financial Researchfirecrawl/web-agent | 1.2k | — | ~1.1k | Automated safety check: Pass | MIT | |
| US Market Data ToolkitGeeksfino/finskills | 282 | — | ~1.2k | Automated safety check: Pass | Apache-2.0 | |
| Earnings Report Deep Readingxbtlin/ai-berkshire | 17k | — | ~1.4k | Automated safety check: Pass | MIT | |
| Financial Data Cross-Validationxbtlin/ai-berkshire | 17k | — | ~1.4k | Automated safety check: Pass | MIT | |
| Financial Statement Deep DiveGeeksfino/finskills | 282 | — | ~1.8k | Automated safety check: Pass | Apache-2.0 |
firecrawl/web-agent
Pulls a public company's latest 10-K or 10-Q figures and analyst consensus from SEC EDGAR and Yahoo Finance, then cross-checks the two sources.
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.
xbtlin/ai-berkshire
Reads a company's filings and earnings call material in depth, rates how complete the sources are and extracts the key figures into a structured review.
xbtlin/ai-berkshire
A research rule set for pulling company financials from prioritized sources by market and cross-checking every key figure against two independent sources.
Geeksfino/finskills
Runs a forensic review of one company's financial statements covering DuPont profitability, earnings quality, financial health scores and fraud-risk signals.
okikusan-public/stock_skills
Screens for undervalued stocks across about 60 regions with yfinance's EquityQuery, using ratios such as PER, PBR, dividend yield and ROE, with optional theme filters.
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.
HKUDS/Vibe-Trading
Retrieves public OKX cryptocurrency market data such as spot prices, candlesticks, funding rates and open interest through the OKX V5 REST API, with no authentication.
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.
HKUDS/Vibe-Trading
Predicts whether a mainland China A-share company risks an ST or *ST warning after its next annual report, using financial thresholds and Sina penalty records.
HKUDS/Vibe-Trading
Breaks a structural trend such as AI infrastructure into its physical supply chain and ranks lesser-known listed companies sitting on each bottleneck.
HKUDS/Vibe-Trading
Plans and drafts an eight-part, roughly 120k-word investigative series on one company, built around a strict fact-check pass rather than fast drafting.
Categories
Interprets US company filings from SEC EDGAR (10-K, 10-Q, 8-K, proxy statements, Form 4) to pull out financials, risk factors and investment signals. This skill supplies an analytical framework for reading SEC filings rather than fetching them. A table covers filing types with their frequency, key content and what each signals: 10-K for a full-year view, 10-Q for trend confirmation, 8-K for events such as M&A or a CEO change, DEF 14A for governance, Form 4 for insider buying and selling, 13F for institutional holdings and SC 13D/G for ownership stakes above 5%.
SEC EDGAR Filing Analysis fits situations like: extracting key financials and risk factors from a 10-K or 10-Q; reading an 8-K for a material event such as M&A or a restatement; following insider buying and selling through Form 4 filings; checking governance and executive pay in a proxy statement.
Run `npx skills add HKUDS/Vibe-Trading --skill edgar-sec-filings -a claude-code`. Or copy the skill folder (agent/src/skills/edgar-sec-filings in HKUDS/Vibe-Trading) into .claude/skills/edgar-sec-filings in your project. Claude Code loads it when a task matches its description.
Run `npx skills add HKUDS/Vibe-Trading --skill edgar-sec-filings -a codex`. Or copy the skill folder (agent/src/skills/edgar-sec-filings in HKUDS/Vibe-Trading) into .agents/skills/edgar-sec-filings 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 HKUDS/Vibe-Trading --skill edgar-sec-filings -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/edgar-sec-filings, .gemini/skills/edgar-sec-filings, .github/skills/edgar-sec-filings and .opencode/skills/edgar-sec-filings in your project.
SKILL.md names no scripts, command-line tools or credentials: SEC EDGAR Filing Analysis is instructions for the agent only. Our summary lists: Network access to SEC EDGAR through the read_url tool or yfinance.
SKILL.md names 2 domains. In commands or code: sec.gov and efts.sec.gov; the agent is likely to contact these when it follows the instructions. 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.
SEC EDGAR Filing Analysis is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 3.1k tokens (SKILL.md is roughly 12k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with SEC EDGAR Filing Analysis: Financial Research (firecrawl/web-agent, 1.2k stars), US Market Data Toolkit (Geeksfino/finskills, 282 stars), Earnings Report Deep Reading (xbtlin/ai-berkshire, 17k stars) and Financial Data Cross-Validation (xbtlin/ai-berkshire, 17k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
HKUDS (a GitHub organization) maintains it in HKUDS/Vibe-Trading, which has 35,163 GitHub stars. The repository holds 89 skills in this directory. The repository was last updated on October 10, 2026.
Source: HKUDS/Vibe-Trading on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.