A
AbhijeetBabar-2025/stock-analyst-skill
Stock analyst skill for Claude Code & AI agents: quick scores, full reports, portfolio tracking, and a…
no SECURITY.md
View on GitHub (repository no longer exists)Link checked 2026-11-12 · automated check blocked (HTTP 429), status unconfirmed
Install & config
Client config (built from the install command this repo gives)
{
"mcpServers": {
"abhijeetbabar-2025-stock-analyst-skill": {
"command": "npx",
"args": ["skills"]
}
}
}Parsed from the README we fetched on 2026-10-26; we have not executed it.
command/args come from the install command the repository states. When it is ambiguous, the project README wins.
VS Code (.vscode/mcp.json - the key is servers)
{
"servers": {
"abhijeetbabar-2025-stock-analyst-skill": {
"command": "npx",
"args": ["skills"]
}
}
}Same server, but VS Code keeps it under <code>servers</code>.
Claude Code (command line)
claude mcp add --transport stdio abhijeetbabar-2025-stock-analyst-skill -- npx skills
Claude Code does not read a config file; add the server with this command.
Key names differ by client: Clients & CLI
- Star count
- 0 ★ · AbhijeetBabar-2025/stock-analyst-skill · read from the GitHub search API · (checked 2026-10-26 20:00:26)
- Source
- read directly from its GitHub page · type: open-source project
- Harvest history
- first seen 2026-10-23 · last seen 2026-11-14 · seen 26× · listed by 1 sources
- Score
- score 103 · 1 sources · repo
- Install
npx skills
FAQ (answers come from our records)
How do I install it?
The repository provides this install command:
npx skills. It comes from the repository itself; we cannot guarantee it runs as-is in your client.Who is it for?
We filed it under these tags: Agent 技能. The tags come from the entry itself, not a taxonomy we imposed.
Who maintains it?
repository
AbhijeetBabar-2025/stock-analyst-skill；first catalogued 2026-10-23；last seen 2026-11-14。There is no official certification or quality rating here — we record sources and dates only.# Stock Analyst skill
以下摘录自该仓库的 README（片段） · 在 GitHub 读完整 README →
A stock analyst skill for Claude Code and other AI agents. It learns how you invest and improves from its own track record.
📖 Beginner's installation and user guide
🎬 Demo (21 seconds; click to watch with sound)
Quick score: a -100 to +100 score for any Yahoo Finance ticker (US, India .NS/.BO, London .L, crypto -USD). It combines 7 factors: valuation, growth, profitability, financial health, momentum, analyst views and earnings surprises.
Full report: fundamental and technical research with bull and bear cases, valuation and risks, using live web research.
ETFs: funds (GLD, SPY, TLT, NIFTYBEES.NS) get their own score from momentum, track record, risk, cost and liquidity, and are compared with the right index for their asset class.
Dashboard: a local web page to type in symbols, see each result as a card, save a watchlist and track past calls. Click a card for the full analysis: why it's moving, latest headlines, bull and bear cases, what to watch, cautions, research gaps, learning-only trading notes and Claude's saved report. A Portfolio tab shows holdings with totals per currency, allocation, profit/loss and today's score. Run uv run ~/.claude/skills/stock-analyst/scripts/dashboard.py --open.
Comparison: puts several tickers side by side and ranks them.
Portfolio tracker: your holdings with profit/loss and warnings when one holding is too large.
Memory that improves over time:
Every call goes into a journal.
After 30 days, review checks each call against what the stock and its market index actually did, and turns the misses into lessons.
The skill reads those lessons and your investor profile before every new analysis.
Factor weights can be re-tuned from the evidence, but only with your approval.
## Install
bash
npx skills add AbhijeetBabar-2025/stock-analyst-skill
Add -g to install it for your user instead of the current project.
Already installed? Update with npx skills update stock-analyst -g -y, then restart Claude Code (and the dashboard, if it's running). Your data is kept. See What's new.
Requirements: uv, used to run the Python scripts. It installs yfinance and pandas automatically on first run. No API keys are needed.
## Use
Just ask your agent:
"Quick score on NVDA and AMD"
"Full report on RELIANCE.NS"
"Compare MSFT vs GOOGL"
"I bought 10 AAPL at 180"
"Show my portfolio"
"Review how our past calls did"
You can also run the scripts directly:
bash
S=~/.claude/skills/stock-analyst # or wherever the skill was installed
uv run $S/scripts/score.py AAPL TCS.NS BTC-USD
uv run $S/scripts/portfolio.py show
uv run $S/scripts/journal.py review
## Your data
Everything personal stays on your machine in ~/.stock-analyst/ (change the location with STOCKANALYSTDATA). Skill updates never touch it.
| File | What it holds |
| profile.md | How you invest, filled in as it comes up |
| lessons.md | What reviews and your corrections taught it |
| journal.jsonl | Every call: date, price, verdict, reason |
| portfolio.json | Your holdings |
| watchlist.json | Symbols saved in the dashboard |
| reports/ | Full reports, shown in the dashboard |
📖 Beginner's installation and user guide
🎬 Demo (21 seconds; click to watch with sound)
Quick score: a -100 to +100 score for any Yahoo Finance ticker (US, India .NS/.BO, London .L, crypto -USD). It combines 7 factors: valuation, growth, profitability, financial health, momentum, analyst views and earnings surprises.
Full report: fundamental and technical research with bull and bear cases, valuation and risks, using live web research.
ETFs: funds (GLD, SPY, TLT, NIFTYBEES.NS) get their own score from momentum, track record, risk, cost and liquidity, and are compared with the right index for their asset class.
Dashboard: a local web page to type in symbols, see each result as a card, save a watchlist and track past calls. Click a card for the full analysis: why it's moving, latest headlines, bull and bear cases, what to watch, cautions, research gaps, learning-only trading notes and Claude's saved report. A Portfolio tab shows holdings with totals per currency, allocation, profit/loss and today's score. Run uv run ~/.claude/skills/stock-analyst/scripts/dashboard.py --open.
Comparison: puts several tickers side by side and ranks them.
Portfolio tracker: your holdings with profit/loss and warnings when one holding is too large.
Memory that improves over time:
Every call goes into a journal.
After 30 days, review checks each call against what the stock and its market index actually did, and turns the misses into lessons.
The skill reads those lessons and your investor profile before every new analysis.
Factor weights can be re-tuned from the evidence, but only with your approval.
## Install
bash
npx skills add AbhijeetBabar-2025/stock-analyst-skill
Add -g to install it for your user instead of the current project.
Already installed? Update with npx skills update stock-analyst -g -y, then restart Claude Code (and the dashboard, if it's running). Your data is kept. See What's new.
Requirements: uv, used to run the Python scripts. It installs yfinance and pandas automatically on first run. No API keys are needed.
## Use
Just ask your agent:
"Quick score on NVDA and AMD"
"Full report on RELIANCE.NS"
"Compare MSFT vs GOOGL"
"I bought 10 AAPL at 180"
"Show my portfolio"
"Review how our past calls did"
You can also run the scripts directly:
bash
S=~/.claude/skills/stock-analyst # or wherever the skill was installed
uv run $S/scripts/score.py AAPL TCS.NS BTC-USD
uv run $S/scripts/portfolio.py show
uv run $S/scripts/journal.py review
## Your data
Everything personal stays on your machine in ~/.stock-analyst/ (change the location with STOCKANALYSTDATA). Skill updates never touch it.
| File | What it holds |
| profile.md | How you invest, filled in as it comes up |
| lessons.md | What reviews and your corrections taught it |
| journal.jsonl | Every call: date, price, verdict, reason |
| portfolio.json | Your holdings |
| watchlist.json | Symbols saved in the dashboard |
| reports/ | Full reports, shown in the dashboard |
Listed badge (optional)
Copy this line into the README if you want the listing mark. Optional, and it does not affect being listed.
[](https://anclum.com/en/s/abhijeetbabar-2025-stock-analyst-skill/)
- Source
- github · https://github.com/AbhijeetBabar-2025/stock-analyst-skill
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