| name | sentiment-report |
| description | This skill should be used when the user asks for a full sentiment report, comprehensive sentiment analysis, complete sentiment summary, sentiment check, overall market mood, how sentiment looks, or explicitly runs /sentiment-report for a publicly traded company. Also use when the user asks to "analyze sentiment", "run sentiment analysis", or "give me a sentiment overview" for a stock.
|
Sentiment Report
Purpose
User-invocable skill (/sentiment-report) that dispatches all three sentiment
data channels in parallel using the Agent tool, synthesizes a composite score,
and formats the full report with a data source log.
Step 1 — Resolve Ticker and Company Name
Confirm ticker and company name via WebSearch if needed. Record the current UTC
timestamp for the report header.
Step 2 — Dispatch Three Skills in Parallel
Use the Agent tool to run all three simultaneously:
- Invoke
news-sentiment for the ticker
- Invoke
reddit-sentiment for the ticker
- Invoke
stocktwits-sentiment for the ticker
Do NOT proceed to Step 3 until all three have returned results.
Step 3 — Collect Channel Scores
From each skill output, extract:
news_score, article_count, news_source, low_volume_warning, key_headlinesreddit_score, wsb_score, rstocks_score, wsb_post_count, rstocks_post_count, top_wsb_posts, top_rstocks_posts, fallback_notesstocktwits_score, bullish_count, bearish_count, total_labeled, sample_bullish, sample_bearish- Availability flags from each skill
Step 4 — Compute Composite Score
Base weights: News 45%, StockTwits 30%, Reddit 25%
Re-normalize if a channel is unavailable (null score). Adjust weights so they
sum to 1.0 across available channels only:
| Available Channels | News weight | StockTwits weight | Reddit weight |
|---|
| All three | 0.45 | 0.30 | 0.25 |
| News + StockTwits only | 0.60 (45/75) | 0.40 (30/75) | — |
| News + Reddit only | 0.643 (45/70) | — | 0.357 (25/70) |
| StockTwits + Reddit only | — | 0.545 (30/55) | 0.455 (25/55) |
| News only | 1.00 | — | — |
| StockTwits only | — | 1.00 | — |
| Reddit only | — | — | 1.00 |
composite = (news_score × w_news) + (stocktwits_score × w_st) + (reddit_score × w_reddit)
If fewer than 2 channels have data: Do not compute a composite. Output
"⚠️ Insufficient data to compute composite score" and show available channel
results individually.
Step 5 — Determine Score Label
Apply the standard signal bands to the composite score:
-
= +7.0 → Very Bullish
-
= +3.0 and < +7.0 → Bullish
-
-3.0 and < +3.0 → Neutral
- <= -3.0 and > -7.0 → Bearish
- <= -7.0 → Very Bearish
Step 6 — Build ASCII Progress Bar
Scale composite (-10 to +10) onto a 20-character bar:
- Use
█ for filled blocks, ░ for empty
- The center 10 characters represent 0. Positive scores fill right; negative fill left.
- Append the numeric score:
{bar} ({composite_score})
Examples:
- Score +8.0:
░░░░░░░░░░████████░░ (+8.0)
- Score -5.0:
░░░░░█████░░░░░░░░░░ (-5.0)
- Score 0.0:
░░░░░░░░░░░░░░░░░░░░ (0.0)
Step 7 — Format Full Report
Present the report in this exact structure:
## Sentiment Analysis: {TICKER} — {Company Name}
*Last 24 hours · As of {UTC timestamp}*
### Composite Sentiment Score
**{composite_score} / 10 — {Label}**
{ASCII bar}
[If total sources < 5: ⚠️ Low data volume ({n} total sources) — composite may not be representative.]
### Channel Breakdown
| Channel | Score | Signal | Volume | Notes |
|---------|-------|--------|--------|-------|
| News | {news_score} | {label} | {n} articles | {top source domains} |
| StockTwits | {st_score} | {label} | {total_labeled} labeled | {bullish}/{bearish} ratio |
| Reddit (WSB) | {wsb_score} | {label} | {n} posts | avg ↑{avg_upvotes} |
| Reddit (r/stocks) | {rs_score} | {label} | {n} posts | avg ↑{avg_upvotes} |
(Use "N/A" in Score column for unavailable channels; explain in Notes)
### Key Headlines (past 24h)
- [{score}] "{title}" — {source}
- [{score}] "{title}" — {source}
- [{score}] "{title}" — {source}
### Notable Reddit Posts
- [WSB · ↑{upvotes}] "{title}" · {Bullish | Neutral | Bearish}
- [WSB · ↑{upvotes}] "{title}" · {Bullish | Neutral | Bearish}
- [r/stocks · ↑{upvotes}] "{title}" · {Bullish | Neutral | Bearish}
- [r/stocks · ↑{upvotes}] "{title}" · {Bullish | Neutral | Bearish}
### StockTwits Sample
- 🟢 Bullish: "{sample_bullish_message}"
- 🔴 Bearish: "{sample_bearish_message}"
---
### Data Source Log
- **News:** {NewsAPI (key configured) | WebSearch fallback} · {n} articles · {domain breakdown}
- **Reddit WSB:** {Direct JSON | sort=new retry | WebSearch fallback | Unavailable} · {n} posts
- **Reddit r/stocks:** {Direct JSON | sort=new retry | WebSearch fallback | Unavailable} · {n} posts
- **StockTwits:** {Direct API | Unavailable} · {total_labeled} labeled messages
---
*For informational purposes only. Not financial advice. Sentiment scores derived
from public sources and AI analysis. Verify independently before making investment decisions.*
