finance-sentiment — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited finance-sentiment (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
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:
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/docsMatch 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:
days=7 unless the user asks for another windowTicker count:
1..10 tickersUse curl with X-API-Key. Prefer compare endpoints because they are compact and batch-friendly.
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"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"curl -s "https://api.adanos.org/reddit/stocks/v1/compare?tickers=AMD,NVDA,META&days=7" \
-H "X-API-Key: $ADANOS_API_KEY"mentions.trade_count.When reporting a single source, prioritize exactly these fields:
Example:
TSLA on Reddit, last 7 days
- Buzz: 74.1/100
- Bullish: 31%
- Mentions: 647
- Trend: risingWhen reporting multiple sources for one ticker:
When comparing multiple tickers:
buzz_scorebullish_pct or trendDo not overstate precision. These are research signals, not trade instructions.
references/api_reference.md - endpoint guide, field meanings, and example workflowsRead the reference file when you need the exact field names, query parameters, or recommended answer patterns.
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.