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-news-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-news-sentiment)<a href="https://agentmods.dev/skills/lord1egypt/awesome-skill-forge/a-stock-news-sentiment"><img src="https://agentmods.dev/badge/skills/lord1egypt/awesome-skill-forge/a-stock-news-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-news-sentiment"><img src="https://agentmods.dev/badge/skills/lord1egypt/awesome-skill-forge/a-stock-news-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 | $0.00032 | $0.00343 |
| Opus 5 | $0.00016 | $0.00171 |
| Sonnet 5 | $0.00006 | $0.00069 |
| Haiku 4.5 | $0.00003 | $0.00034 |
Grade A, and why
news-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 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
消息面分级解读 Skill
核心能力
区分"真利好"和"假利好"，避免追高被套。
利好分级规则
一级利好（可重仓追涨）
- 国家级政策落地（如降息、行业扶持）
- 龙头股直接受益
- 操作建议：可重仓追涨
二级利好（轻仓参与）
- 行业事件（如产业链涨价、技术突破）
- 板块联动性强
- 操作建议：轻仓参与
无效利好（观望为主）
- 公司常规公告（如股东增持、战略合作）
- 无资金承接
- 操作建议：观望为主
实战规则
补贴类利好判断
看到"某公司获政府补贴"公告时：
- 判断补贴金额占净利润的比例
- 比例 < 5% 为无效利好
- 再看板块资金流向
追高避坑
- 利好发布后已涨停2次以上，谨慎追
- 利好发布但无资金承接，及时止盈
触发场景
- "这个利好是真的吗"
- "能追吗"
- "这个公告是利好还是利空"
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 · 46 lines · 32 tokens per session scan A b38f82a66684
news-sentiment-analysis is a skill published in the GitHub repository Lord1Egypt/awesome-skill-forge (2 stars, last pushed 3mo ago), licensed MIT. It adds 32 tokens to every session and 343 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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