stock-evaluator-v3 — Claude Code skill: stock analysis with recommendations
Skill for full stock evaluation before you buy: applies eight legendary investor frameworks, runs technical and fundamental checks, builds a 60+ metric dashboard, and gives a clear buy, hold, or sell call.
npx skills add sundial-org/awesome-openclaw-skills --skill stock-evaluator-v3 -a claude-codeWhat stock-evaluator-v3 does
Fetches live data through web search and assembles a report covering profitability, debt, liquidity, Piotroski F-Score, Altman Z-Score, Beneish M-Score. Scores each stock against eight investor frameworks, weighs bull and bear scenarios, assigns a conviction rating, and suggests an entry price. Generates a React dashboard with tables, charts, and Ichimoku Cloud overlays.
Requires agent access to web search: the skill never pulls numbers from memory, instead hunting for current data in company filings, exchange feeds, and SEC forms. When a metric cannot be found, the dashboard shows a dash rather than a fabricated figure. For sell recommendations, it suggests three to five alternative candidates in the same sector.
What it helps with
- evaluate whether a stock is worth buying using eight investor frameworks
- get a clear buy, hold, or sell recommendation with a conviction rating
- compare a company's fundamentals against industry benchmarks
- build a dashboard with technical indicators, debt, margins, and cash flow
- check insider trading signals and short interest for a ticker
Example prompts for the agent
- Analyze Tesla stock — should I buy right now?
- Give me a full breakdown of AAPL with a recommendation and entry price
- Compare NVDA to competitors and tell me whether to hold or sell
How to install stock-evaluator-v3
1Skills CLI (Vercel)
npx skills add sundial-org/awesome-openclaw-skills --skill stock-evaluator-v3 -a claude-code2Manually: put the files in place
~/.claude/skills/stock-evaluator-v3/SKILL.mdCopy the whole skill folder; for one project use .claude/skills/stock-evaluator-v3/
1Skills CLI (Vercel)
npx skills add sundial-org/awesome-openclaw-skills --skill stock-evaluator-v3 -a codex2Manually: put the files in place
.agents/skills/stock-evaluator-v3/SKILL.mdFor all projects use ~/.agents/skills/
1Skills CLI (Vercel)
npx skills add sundial-org/awesome-openclaw-skills --skill stock-evaluator-v3 -a cursor2Manually: put the files in place
.cursor/skills/stock-evaluator-v3/SKILL.mdCursor also reads .agents/skills/ and .claude/skills/
1GitHub CLI
gh skill install sundial-org/awesome-openclaw-skills stock-evaluator-v32Manually: put the files in place
.github/skills/stock-evaluator-v3/SKILL.md1Skills CLI (Vercel)
npx skills add sundial-org/awesome-openclaw-skills --skill stock-evaluator-v3 -a gemini-cli2Platform CLI
gemini skills install https://github.com/sundial-org/awesome-openclaw-skills --path skills/stock-evaluator-v3Manually: put the files in place
.devin/skills/stock-evaluator-v3/SKILL.mdThe legacy .windsurf/skills/ path still works
Skills CLI (Vercel)
npx skills add sundial-org/awesome-openclaw-skills --skill stock-evaluator-v3 -a opencodeClaude.ai
Zip the folder and upload it in Settings → Capabilities → Skills
Step by step, with commands for each platform: How to install skills in Claude Code: five ways
Questions about stock-evaluator-v3
How do I install stock-evaluator-v3 in Claude Code?
Run npx skills add sundial-org/awesome-openclaw-skills --skill stock-evaluator-v3 -a claude-code in your project terminal. The skill will appear in ~/.claude/skills/stock-evaluator-v3/SKILL.md.
What does stock-evaluator-v3 do?
It evaluates stocks for investment: fetches live data through search, calculates over 60 metrics from return ratios to Piotroski and Altman scores, applies eight legendary investor frameworks, and delivers a buy, hold, or sell recommendation with an entry price and conviction rating.
Where does stock-evaluator-v3 get stock data?
The skill runs mandatory web searches against company filings, exchange feeds, and SEC Form 4 records. Numbers are never drawn from agent memory: every metric is either found in a source or marked with a dash in the dashboard.