finance-sentiment
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.
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Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/himself65/finance-skills --skill finance-sentiment- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads finance-sentiment automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
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:
!`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:
export ADANOS_API_KEY="sk_live_..."
Use the key via the X-API-Key header on all requests.
Base docs:
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=7unless the user asks for another window
Ticker count:
- use compare endpoints for
1..10tickers
Step 3: Execute the Request
Use curl with X-API-Key. Prefer compare endpoints because they are compact and batch-friendly.
Single-source examples
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=NVDA&days=7" \
-H "X-API-Key: $ADANOS_API_KEY"
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
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
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
- Prefer compare endpoints over stock detail endpoints for quick research.
- Use only the sources needed to answer the question.
- For Reddit, X.com, and news, the volume field is
mentions. - For Polymarket, the activity field is
trade_count. - Treat missing source data as "no data", not bearish or neutral.
- 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:
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_pctortrend
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.
FAQ
What does the finance-sentiment skill do?
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.
How do I install finance-sentiment?
Run npx skills add https://github.com/himself65/finance-skills --skill finance-sentiment in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/finance-sentiment/ (personal) or .claude/skills/finance-sentiment/ (project).
Which AI agents can use finance-sentiment?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is finance-sentiment safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains finance-sentiment?
It is published by himself65 in himself65/finance-skills. It has 1,587 recorded installs.
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