Agent skill

Fin Finance Sentiment

by criptogus in criptogus/agent-evolve-network

Fetch structured cross-source stock sentiment (Reddit, X.com, news, Polymarket) via the Adanos Finance API for research, read-only.

MITAuto-check passedBusiness, Finance & HR

Install Fin Finance Sentiment

skills CLI
$ npx skills add criptogus/agent-evolve-network --skill fin-finance-sentiment -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install criptogus/agent-evolve-network fin-finance-sentiment --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/criptogus/agent-evolve-network.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/fin-finance-sentiment .claude/skills/fin-finance-sentiment && rm -rf skills-src

Use ~/.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/

Facts

Skill name
fin-finance-sentiment
GitHub stars
288
Token cost
~979 tokens
SKILL.md length
400 words
Files
1
Skills in repo
107
Repo updated
First seen
Licence
MIT

At a glance

Fetch structured cross-source stock sentiment (Reddit, X.com, news, Polymarket) via the Adanos Finance API for research, read-only.

  • Works in 4 steps: Ensure ADANOS_API_KEY is set; if… → Match the request to the lightest… → Execute with curl. Volume field is… → …
  • The user asks for finance sentiment work
  • SKILL.md covers Instructions, Always, Never and Examples, plus 1 more section
  • Calls npx; needs ADANOS_API_KEY

What it does

Fin Finance Sentiment is an agent skill from criptogus/agent-evolve-network. Fetch structured cross-source stock sentiment (Reddit, X.com, news, Polymarket) via the Adanos Finance API for research, read-only. Use when the user asks for finance sentiment work, or mentions fin, finance, sentiment.

Its SKILL.md is about 980 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Business, Finance & HR. It works with Polymarket, Reddit and X (Twitter). The licence is MIT.

When your agent uses it

  • The user asks for finance sentiment work

Example prompts

  • “/fin-finance-sentiment”

Requirements

  • Node.js
  • A credential in ADANOS_API_KEY

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

  1. Ensure ADANOS_API_KEY is set; if missing, ask the user to export it. Send it as the
  2. Match the request to the lightest endpoint: /reddit|x|news|polymarket/stocks/v1/compare
  3. Execute with curl. Volume field is mentions for Reddit/X/news; trade_count for Polymarket.
  4. Present prioritizing Buzz, Bullish %, Mentions/Trades, and Trend. For one ticker across

What it can do on your machine

Read from SKILL.md and the folder at commit d19b920. It shows what the files ask for, not the result of running them.

  • Tool permissions

    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.

  • Runs code

    Shell commands in SKILL.md call:

    • npx

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    Links to these hosts (documentation or services it may open):

    • superagentskill.com

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • ADANOS_API_KEY

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Fin Finance Sentiment loads about 979 tokens when it runs. Until then it costs about 60 tokens; SKILL.md has 400 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~60
When it runs · the whole SKILL.md, loaded when a task matches
~979

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.

Safety

Auto-check passed

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.

SKILL.md

The full file from criptogus/agent-evolve-network at commit d19b920, republished under its MIT licence (© criptogus). 400 words, ~979 tokens.

Download SKILL.mdSave it as .claude/skills/fin-finance-sentiment/SKILL.md (or your agent's skills folder).
name
fin-finance-sentiment
description
Fetch structured cross-source stock sentiment (Reddit, X.com, news, Polymarket) via the Adanos Finance API for research, read-only. Use when the user asks for finance sentiment work, or mentions fin, finance, sentiment.
version
0.1.0
license
MIT
homepage
https://superagentskill.com/marketplace/fin-finance-sentiment
source
Super Agent Skill (SAK)

Finance Sentiment

Use this skill when a user wants normalized, cross-source stock sentiment rather than raw social feeds: buzz score, bullish percentage, mentions, Polymarket trade counts, and trend for one or more tickers. Typical triggers: "social sentiment on TSLA", "how hot is NVDA on X.com", "Reddit mentions for AAPL", "compare AMD vs NVDA", "Polymarket bets on Microsoft", "is Reddit aligned with X on META".

It is READ-ONLY. It does not place trades or turn signals into trade instructions. It calls the Adanos Finance API (api.adanos.org) with an X-API-Key header, preferring the compact per-source compare endpoints for 1-10 tickers and a 7-day default lookback. Do not use it for trade execution or as financial advice; treat missing data as "no data", not bearish.

Instructions

You are a stock-sentiment research assistant backed by the Adanos Finance API (read-only). Workflow:

  1. Ensure ADANOS_API_KEY is set; if missing, ask the user to export it. Send it as the X-API-Key header on every request.
  2. Match the request to the lightest endpoint: /reddit|x|news|polymarket/stocks/v1/compare for 1-10 tickers. Default to days=7 unless the user specifies a window. Use the /stock/{ticker} detail endpoint only when expanded detail is requested.
  3. Execute with curl. Volume field is mentions for Reddit/X/news; trade_count for Polymarket. Treat missing source data as "no data", never as bearish/neutral.
  4. Present prioritizing Buzz, Bullish %, Mentions/Trades, and Trend. For one ticker across sources, show a block per source then a short synthesis (aligned bullish/bearish/mixed). For multiple tickers, rank by buzz_score (default) and call out large gaps. Do not overstate precision. These are research signals, not trade instructions. Never execute trades or convert results into trading recommendations. Research/educational only, not financial advice.
Show full SKILL.md (125 more words)Show less

Always

  • Send the API key via the X-API-Key header on every Adanos request.
  • Prefer compare endpoints and treat missing source data as "no data".
  • State that output is research/educational sentiment, not financial advice.

Never

  • Place trades or convert sentiment into buy/sell instructions.
  • Answer sentiment questions from memory instead of fetching from the API.
  • Overstate precision of the sentiment signals.

Examples

Single-source buzz

Input:

How hot is NVDA on X.com?

Expected output:

Fetches /x/stocks/v1/compare?tickers=NVDA&days=7 and reports Buzz, Bullish %, Mentions, Trend, e.g.
"NVDA on X (7d): Buzz 81/100, Bullish 58%, Mentions 1,240, Trend rising." Notes: research signal, not advice.
Cross-source compare

Input:

Compare sentiment on AMD vs NVDA across Reddit and X

Expected output:

Batches tickers in one compare call per source, ranks by buzz_score, and flags divergences in
bullish_pct/trend, with a short synthesis. Disclaimer that it is research-only sentiment.

Trust & telemetry

This skill is graded on the Super Agent Skill network: format, substance and adversarial (prompt-injection) testing produce a public Trust Score.

Reinstall or update with npx skills update, or pull the live graded version with npx super-agent install fin-finance-sentiment.

© criptogus, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/fin-finance-sentiment of criptogus/agent-evolve-network.

Open the folder on GitHubat commit d19b920

Compare with similar skills

Fin Finance Sentiment 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.

Fin Finance Sentiment compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Fin Finance Sentiment this skillcriptogus/agent-evolve-network288—~979Automated safety check: PassMIT
Aeon Last30BankrBot/skills1.2k—~482Automated safety check: PassNone
Social Media IntelligenceHKUDS/Vibe-Trading35k—~10kAutomated safety check: NotesMIT
Finance Sentimentmajiayu000/claude-skill-registry6661 repos~1.3kAutomated safety check: PassMIT
Html5 Game Radarkennyzir/7deer_skills3221 repos~1.4kAutomated safety check: PassMIT
Auto Promotexiaotonng/pikiloom295—~629Automated safety check: NotesMIT

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Questions about Fin Finance Sentiment

What does Fin Finance Sentiment do?

Fetch structured cross-source stock sentiment (Reddit, X.com, news, Polymarket) via the Adanos Finance API for research, read-only. Fin Finance Sentiment is an agent skill from criptogus/agent-evolve-network.com, news, Polymarket) via the Adanos Finance API for research, read-only.

When should I use Fin Finance Sentiment?

Fin Finance Sentiment fits situations like: the user asks for finance sentiment work.

How do I install Fin Finance Sentiment in Claude Code?

Run `npx skills add criptogus/agent-evolve-network --skill fin-finance-sentiment -a claude-code`. Or copy the skill folder (skills/fin-finance-sentiment in criptogus/agent-evolve-network) into .claude/skills/fin-finance-sentiment in your project. Claude Code loads it when a task matches its description.

How do I install Fin Finance Sentiment in Codex?

Run `npx skills add criptogus/agent-evolve-network --skill fin-finance-sentiment -a codex`. Or copy the skill folder (skills/fin-finance-sentiment in criptogus/agent-evolve-network) into .agents/skills/fin-finance-sentiment in your project. Codex loads it when a task matches its description.

Can I use Fin Finance Sentiment in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add criptogus/agent-evolve-network --skill fin-finance-sentiment -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/fin-finance-sentiment, .gemini/skills/fin-finance-sentiment, .github/skills/fin-finance-sentiment and .opencode/skills/fin-finance-sentiment in your project.

What does Fin Finance Sentiment need to run?

Going by SKILL.md and its folder, Fin Finance Sentiment needs the command-line tools its instructions call (npx) and credentials named ADANOS_API_KEY. Our summary lists: Node.js; A credential in ADANOS_API_KEY.

Does Fin Finance Sentiment access the network?

SKILL.md names 1 domain. As links in the text: superagentskill.com. This is read from the text; nothing was executed.

Is Fin Finance Sentiment safe to install?

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.

What licence does Fin Finance Sentiment use?

Fin Finance Sentiment is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Fin Finance Sentiment use?

About 979 tokens (SKILL.md is roughly 3.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Fin Finance Sentiment?

Skills that share tags, products or a category with Fin Finance Sentiment: Aeon Last30 (BankrBot/skills, 1.2k stars), Social Media Intelligence (HKUDS/Vibe-Trading, 35k stars), Finance Sentiment (majiayu000/claude-skill-registry, 666 stars) and Html5 Game Radar (kennyzir/7deer_skills, 322 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Fin Finance Sentiment?

criptogus (a GitHub user) maintains it in criptogus/agent-evolve-network, which has 288 GitHub stars. The repository holds 107 skills in this directory. The repository was last updated on September 9, 2026.

Source: criptogus/agent-evolve-network on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.