finance-sentiment — Claude Code skill: stock sentiment
A skill that pulls normalized stock sentiment from Reddit, X.com, financial news and Polymarket via the Adanos Finance API. Handy when you want to know what the market is talking about.
npx skills add himself65/finance-skills --skill finance-sentiment -a claude-codeWhat finance-sentiment does
The skill queries the Adanos Finance API and returns a buzz score, bullish percentage, mention or trade counts and a trend for a ticker. Sources are Reddit, X.com, financial news and Polymarket. It is read-only: no trades, no changes to anything.
The instructions walk through checking ADANOS_API_KEY, picking the lightest endpoint for the question, then calling it with curl and an X-API-Key header. Compare endpoints are recommended for quick research — they are compact and accept 1 to 10 tickers per request. The default lookback is days=7. A reference file, references/api_reference.md, holds exact field names and query parameters.
Without ADANOS_API_KEY the skill cannot run; set it in your environment, for instance export ADANOS_API_KEY="sk_live_...". Missing source data counts as no data, not as a bearish signal. Treat the output as research signals rather than trading instructions.
What it helps with
- compare sentiment across several tickers over one week
- count Reddit mentions for a company
- check how many active Polymarket bets touch a ticker
- see whether Reddit and X.com agree on a stock
- build a four-source snapshot for a single ticker
Example prompts for the agent
- Compare buzz and bullish percentage for AMD, NVDA and META on Reddit over the past week
- How hot is NVDA on X.com in the last 7 days?
- Pull a sentiment snapshot for TSLA from Reddit, news and Polymarket
How to install finance-sentiment
1Skills CLI (Vercel)
npx skills add himself65/finance-skills --skill finance-sentiment -a claude-code2Manually: put the files in place
~/.claude/skills/finance-sentiment/SKILL.mdCopy the whole skill folder; for one project use .claude/skills/finance-sentiment/
1Skills CLI (Vercel)
npx skills add himself65/finance-skills --skill finance-sentiment -a codex2Manually: put the files in place
.agents/skills/finance-sentiment/SKILL.mdFor all projects use ~/.agents/skills/
1Skills CLI (Vercel)
npx skills add himself65/finance-skills --skill finance-sentiment -a cursor2Manually: put the files in place
.cursor/skills/finance-sentiment/SKILL.mdCursor also reads .agents/skills/ and .claude/skills/
1GitHub CLI
gh skill install himself65/finance-skills finance-sentiment2Manually: put the files in place
.github/skills/finance-sentiment/SKILL.md1Skills CLI (Vercel)
npx skills add himself65/finance-skills --skill finance-sentiment -a gemini-cli2Platform CLI
gemini skills install https://github.com/himself65/finance-skills --path plugins/data-providers/skills/finance-sentimentManually: put the files in place
.devin/skills/finance-sentiment/SKILL.mdThe legacy .windsurf/skills/ path still works
Skills CLI (Vercel)
npx skills add himself65/finance-skills --skill finance-sentiment -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 finance-sentiment
How do I install finance-sentiment in Claude Code?
Run npx skills add himself65/finance-skills --skill finance-sentiment -a claude-code. The skill lands in ~/.claude/skills/finance-sentiment/SKILL.md.
What does finance-sentiment do?
It fetches normalized stock sentiment from Reddit, X.com, financial news and Polymarket: buzz score, bullish percentage, mention or trade counts and trend. Read-only, with no trading actions.
What do I need before using it?
An Adanos Finance API key in the ADANOS_API_KEY environment variable. It travels in the X-API-Key header on every request.
Source text
SKILL.md · MIT
---
name: finance-sentiment
description: >
Fetch normalized stock sentiment across Reddit, X.com, financial news, and
Polymarket from the Adanos Finance API: buzz score, bullish percentage, mention or
trade counts, and trend. Use this skill whenever the user asks how much a stock is
being discussed or how hot it is on social platforms, how many Reddit mentions or
Polymarket bets a company has, whether Reddit, X, and news agree, or wants to
compare stock buzz and sentiment across tickers. Read-only: it never places trades
or modifies anything.
---
# Finance Sentiment Skill
If your host has not already executed the shell probes below (for example, in Codex), run the commands inside the `!` wrappers with its shell tool before choosing a setup path. Use the actual output; if shell access is unavailable, report that limitation.
Fetches structured stock sentiment from the Adanos Finance API.
This skill is read-only. It is designed for research questions that are easier to answer with normalized sentiment signals than with raw social feeds.
Use it when the user wants:
- cross-source stock sentiment
- Reddit/X.com/news/Polymarket comparisons
- buzz, bullish percentage, mentions, trades, or trend
- a quick answer to "what is the market talking about?"
---
## Step 1: Ensure the API Key Is Available
**Current environment status:**
```bash
!`python3 - <<'PY'
import os
print("ADANOS_API_KEY_SET" if os.getenv("ADANOS_API_KEY") else "ADANOS_API_KEY_MISSING")
PY`
```
If `ADANOS_API_KEY_MISSING`, ask the user to set:
```bash
export ADANOS_API_KEY="sk_live_..."
```
Use the key via the `X-API-Key` header on all requests.
Base docs:
```text
https://api.adanos.org/docs
```
---
## Step 2: Identify What the User Needs
Match the request to the lightest endpoint that answers it.
| User Request | Endpoint Pattern | Notes |
|---|---|---|
| "How much are Reddit users talking about TSLA?" | `/reddit/stocks/v1/compare` | Use `mentions`, `buzz_score`, `bullish_pct`, `trend` |
| "How hot is NVDA on X.com?" | `/x/stocks/v1/compare` | Use `mentions`, `buzz_score`, `bullish_pct`, `trend` |
| "How many Polymarket bets are active on Microsoft?" | `/polymarket/stocks/v1/compare` | Use `trade_count`, `buzz_score`, `bullish_pct`, `trend` |
| "Compare sentiment on AMD vs NVDA" | compare endpoints for the requested sources | Batch tickers in one request |
| "Is Reddit aligned with X on META?" | Reddit compare + X compare | Compare `bullish_pct`, `buzz_score`, `trend` |
| "Give me a full sentiment snapshot for TSLA" | compare endpoints across Reddit, X.com, news, Polymarket | Synthesize cross-source view |
| "Go deeper on one ticker" | `/stock/{ticker}` detail endpoint | Use only when the user asks for expanded detail |
Default lookback:
- use `days=7` unless the user asks for another window
Ticker count:
- use compare endpoints for `1..10` tickers
---
## Step 3: Execute the Request
Use `curl` with `X-API-Key`. Prefer compare endpoints because they are compact and batch-friendly.
### Single-source examples
```bash
curl -s "https://api.adanos.org/reddit/stocks/v1/compare?tickers=TSLA&days=7" \
-H "X-API-Key: $ADANOS_API_KEY"
```
```bash
curl -s "https://api.adanos.org/x/stocks/v1/compare?tickers=NVDA&days=7" \
-H "X-API-Key: $ADANOS_API_KEY"
```
```bash
curl -s "https://api.adanos.org/polymarket/stocks/v1/compare?tickers=MSFT&days=7" \
-H "X-API-Key: $ADANOS_API_KEY"
```
### Multi-source snapshot for one ticker
```bash
curl -s "https://api.adanos.org/reddit/stocks/v1/compare?tickers=TSLA&days=7" -H "X-API-Key: $ADANOS_API_KEY"
curl -s "https://api.adanos.org/x/stocks/v1/compare?tickers=TSLA&days=7" -H "X-API-Key: $ADANOS_API_KEY"
curl -s "https://api.adanos.org/news/stocks/v1/compare?tickers=TSLA&days=7" -H "X-API-Key: $ADANOS_API_KEY"
curl -s "https://api.adanos.org/polymarket/stocks/v1/compare?tickers=TSLA&days=7" -H "X-API-Key: $ADANOS_API_KEY"
```
### Multi-ticker comparison
```bash
curl -s "https://api.adanos.org/reddit/stocks/v1/compare?tickers=AMD,NVDA,META&days=7" \
-H "X-API-Key: $ADANOS_API_KEY"
```
### Key rules
1. Prefer compare endpoints over stock detail endpoints for quick research.
2. Use only the sources needed to answer the question.
3. For Reddit, X.com, and news, the volume field is `mentions`.
4. For Polymarket, the activity field is `trade_count`.
5. Treat missing source data as "no data", not bearish or neutral.
6. Never execute trades or convert the result into trading instructions.
---
## Step 4: Present the Results
When reporting a single source, prioritize exactly these fields:
- Buzz
- Bullish %
- Mentions or Trades
- Trend
Example:
```text
TSLA on Reddit, last 7 days
- Buzz: 74.1/100
- Bullish: 31%
- Mentions: 647
- Trend: rising
```
When reporting multiple sources for one ticker:
- show one block per source
- then add a short synthesis:
- aligned bullish
- aligned bearish
- mixed / diverging
When comparing multiple tickers:
- rank by the metric the user cares about
- default to `buzz_score`
- call out large gaps in `bullish_pct` or `trend`
Do not overstate precision. These are research signals, not trade instructions.
---
## Reference Files
- `references/api_reference.md` - endpoint guide, field meanings, and example workflows
Read the reference file when you need the exact field names, query parameters, or recommended answer patterns.
© himself65 · MIT · himself65/finance-skills