Atlas / Skills / himself65 / Finance Sentiment

Finance SentimentSAFE

skills/himself65/finance-sentiment

A collection of skills for AI financial analysis.

Verdict
SAFE
Grade
B
Trust score
89 /100
Version
—
Hosts
—
License
MIT
Stars
3,383
01

Overview

From the repository's own README, as read at the audited commit. Badges and raw HTML are left out.

Structured stock sentiment research using the Adanos Finance API.

What it does

Fetches normalized stock sentiment signals across:

  • Reddit - buzz, bullish percentage, mentions, trend
  • X.com - buzz, bullish percentage, mentions, trend
  • News - buzz, bullish percentage, mentions, trend
  • Polymarket - buzz, bullish percentage, trades, trend

This skill is useful when a user wants fast answers such as:

  • "How much are Reddit users talking about TSLA right now?"
  • "How hot is NVDA on X.com this week?"
  • "How many Polymarket bets are active on Microsoft right now?"
  • "Are Reddit and X aligned on META?"
  • "Compare social sentiment on AMD vs NVDA"

This skill is read-only. It only fetches sentiment data for research.

Triggers

  • "social sentiment on TSLA"
  • "stock buzz"
  • "how hot is X stock on X.com"
  • "how many Reddit mentions does AAPL have"
  • "how many Polymarket bets on Microsoft"
  • "compare sentiment on AMD vs NVDA"
  • "is Reddit aligned with X on META"

Prerequisites

  • ADANOS_API_KEY must be set in the environment
  • curl available in the shell

Platform

Works on all platforms that support shell commands and outbound HTTP requests.

Setup

# Choose finance-data-providers when prompted.
npx plugins add himself65/finance-skills

# Or install just this skill
npx skills add himself65/finance-skills --skill finance-sentiment

See the main README for more installation options.

Reference files

  • references/api_reference.md - endpoint guide, field meanings, and example workflows
Read from source at commit 317cbce031f1OBSERVED · 2026-10-08
02

Install

Commands as the repository documents them. They are shown, not run.

npx skills add himself65/finance-skills --skill finance-sentiment
03

What it tells the agent

The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.

---
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

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.
04

Trust audit

SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.

LayerWhat it checksResult
L0Provenance & inventoryPASS
L1Static analysis of the codeNA
L2Instruction surface (what it tells the agent)PASS
L3Class-specific surfacePASS
L4Behavioural (sandbox)SKIPPED

What the source does

Filesystem
none-observed
Network
none-observed
Shell
none-observed
Dependencies
pinned
Secrets in source
none-found

Findings (0)

No findings outside the package's declared scope.

Gates applied: no_behavioural_pass.

Audited 2026-10-08 · audit v0.4.1 · source sha 317cbce031f1full audit observations/trust-audit/skill/himself65__finance-sentiment.json · Report an issue / request a re-scan
05

Audit history

Every audit this skill has had.

DateSourceVerdictGradeScoreChange
2026-10-08317cbce031f1SAFEB89first audit
06

Questions

What does the Finance Sentiment skill do?

A collection of skills for AI financial analysis.

Is Finance Sentiment safe to install?

The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.

What can Finance Sentiment access on my machine?

The audit observed no filesystem, network or shell use at all in its source.

How current is this page?

The grade is for one exact copy of the source (317cbce031f1), read on 2026-10-08. The repository is watched, and a new audit runs when it changes — this is the first audit.

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