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 Lord1Egypt/awesome-skill-forge --skill a-stock-market-sentimentgit clone --depth 1 https://github.com/Lord1Egypt/awesome-skill-forgeWrote 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/lord1egypt/awesome-skill-forge/a-stock-market-sentiment)<a href="https://agentmods.dev/skills/lord1egypt/awesome-skill-forge/a-stock-market-sentiment"><img src="https://agentmods.dev/badge/skills/lord1egypt/awesome-skill-forge/a-stock-market-sentiment/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/lord1egypt/awesome-skill-forge/a-stock-market-sentiment"><img src="https://agentmods.dev/badge/skills/lord1egypt/awesome-skill-forge/a-stock-market-sentiment.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 | $0.00044 | $0.00402 |
| Opus 5 | $0.00022 | $0.00201 |
| Sonnet 5 | $0.00009 | $0.00080 |
| Haiku 4.5 | $0.00004 | $0.00040 |
Grade A, and why
market-sentiment 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 12d 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
市场情绪量化 Skill
核心能力
用数据判断市场处于"亢奋/分歧/冰点/修复"哪个阶段，而不是靠感觉猜。
情绪判断规则
情绪冰点
- 涨停家数 < 20家
- 跌停家数 > 10家
- 连板高度 < 3板
- 操作建议：轻仓或空仓
情绪亢奋
- 涨停家数 > 80家
- 炸板率 < 15%
- 连板高度 > 5板
- 操作建议：重仓主线龙头
分歧阶段
- 涨停家数波动大
- 炸板率 > 25%
- 操作建议：半仓参与辨识度高的标的
数据获取
调用 akshare-stock 获取：
- 涨停家数：akshare_stock_limit_up()
- 跌停家数：akshare_stock_limit_down()
- 炸板率：(封板失败数 / 涨停家数) × 100%
- 连板高度：最高连板数
实战流程
- 每天开盘前花5分钟获取数据
- 判断当前情绪阶段
- 匹配对应仓位策略
- 避免在冰点期盲目出手
触发场景
- "今天市场情绪怎么样"
- "现在是冰点还是亢奋"
- "能不能加仓"
- "今天适合重仓还是轻仓"
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.
- 12d ago First seen · 52 lines · 44 tokens per session scan A cd8f0ed17a5a
market-sentiment is a skill published in the GitHub repository Lord1Egypt/awesome-skill-forge (2 stars, last pushed 3mo ago), licensed MIT. It adds 44 tokens to every session and 402 once invoked, about $0.0002 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 2026-08-31.
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