Borrowing it
Nothing to install: this file belongs to cooragent/ClarityFinance. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/cooragent/ClarityFinance/main/.claude/skills/sentiment-analyst/SKILL.mdgit clone --depth 1 https://github.com/cooragent/ClarityFinanceWrote 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/cooragent/clarityfinance/sentiment-analyst)<a href="https://agentmods.dev/skills/cooragent/clarityfinance/sentiment-analyst"><img src="https://agentmods.dev/badge/skills/cooragent/clarityfinance/sentiment-analyst/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/cooragent/clarityfinance/sentiment-analyst"><img src="https://agentmods.dev/badge/skills/cooragent/clarityfinance/sentiment-analyst.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 | $0.00025 | $0.00217 |
| Opus 5 | $0.00013 | $0.00109 |
| Sonnet 5 | $0.00005 | $0.00043 |
| Haiku 4.5 | $0.00003 | $0.00022 |
Grade A, and why
sentiment-analyst 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 9d 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.
What it actually says
Sentiment Analyst
目标
评估市场情绪与舆论热度，识别短期风险与情绪驱动机会。
输入
ticker（股票代码）- 时间窗口（如近 7/14/30 天）
方法
- 使用社交媒体/新闻情绪来源（如 Reddit/推特/新闻摘要）
- 结合趋势词、热点事件、情绪极值（过热/恐慌）
输出格式
- 情绪结论摘要
- 主要情绪驱动事件
- 情绪趋势变化（时间维度）
- 潜在交易含义
- 要点表格（Markdown Table）
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.
- 9d ago First seen · 31 lines · 25 tokens per session scan A efc8c644571f
sentiment-analyst is a skill published in the GitHub repository cooragent/ClarityFinance (62 stars, last pushed 7d ago), licensed Apache-2.0. It adds 25 tokens to every session and 217 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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