Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add The-Utopia-Studio/skills --skill sentiment-analysisgit clone --depth 1 https://github.com/The-Utopia-Studio/skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/the-utopia-studio/skills/sentiment-analysis)<a href="https://agentmods.dev/skills/the-utopia-studio/skills/sentiment-analysis"><img src="https://agentmods.dev/badge/skills/the-utopia-studio/skills/sentiment-analysis/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/the-utopia-studio/skills/sentiment-analysis"><img src="https://agentmods.dev/badge/skills/the-utopia-studio/skills/sentiment-analysis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00018 | $0.00256 |
| Opus 5 | $0.00009 | $0.00128 |
| Sonnet 5 | $0.00004 | $0.00051 |
| Haiku 4.5 | $0.00002 | $0.00026 |
Grade A, and why
sentiment-analysis scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 7d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
This is a copy
100% identical to sentiment-analysis — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
Community Sentiment Analysis Skill
When to Use
- Monitoring community tone during launches, incidents, or roadmap changes.
- Preparing executive updates that require member sentiment context.
- Prioritizing response or enablement efforts based on emerging themes.
Framework
- Signal Sources – forums, chat transcripts, surveys, social listening, support tickets.
- Tagging Schema – categorize by emotion, topic, product area, persona, and severity.
- Trend Analysis – track frequency over time, correlate with launches or incidents.
- Risk Scoring – define thresholds for escalation (negative volume, influencer involvement, compliance).
- Action Loop – translate findings into comms responses, content updates, or product feedback tasks.
Templates
- Sentiment tagging sheet (message → tags → severity → owner).
- Trend report layout with charts + narrative.
- Escalation matrix referencing response SLAs.
Tips
- Combine manual review with NLP dashboards to balance accuracy + scale.
- Capture representative quotes for exec storytelling.
- Pair with
measure-engagementcommand to provide recommendations alongside metrics.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 7d ago First seen · 32 lines · 18 tokens per session scan A bee9a8c926f2
sentiment-analysis is a skill published in the GitHub repository The-Utopia-Studio/skills (4 stars, last pushed 8d ago), licensed Apache-2.0. It adds 18 tokens to every session and 256 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to sentiment-analysis, differing in 0 lines, and is treated as a copy.
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