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-fundamental-screeninggit 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-fundamental-screening)<a href="https://agentmods.dev/skills/lord1egypt/awesome-skill-forge/a-stock-fundamental-screening"><img src="https://agentmods.dev/badge/skills/lord1egypt/awesome-skill-forge/a-stock-fundamental-screening/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-fundamental-screening"><img src="https://agentmods.dev/badge/skills/lord1egypt/awesome-skill-forge/a-stock-fundamental-screening.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 | $0.00033 | $0.00315 |
| Opus 5 | $0.00016 | $0.00158 |
| Sonnet 5 | $0.00007 | $0.00063 |
| Haiku 4.5 | $0.00003 | $0.00032 |
Grade A, and why
fundamental-screening 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
基本面筛选 Skill
核心能力
用财务指标快速排除垃圾股，找到有基本面支撑的标的。
筛选规则
成长股筛选
- 连续3年营收增速 ≥ 30%
- 净利润增速 ≥ 25%
- ROE ≥ 15%
价值股筛选
- 市盈率（PE）< 行业均值
- 股息率 ≥ 3%
- 资产负债率 ≤ 50%
避雷规则（直接排除）
- ST股
- 近1年业绩亏损超50%
- 大股东减持比例 ≥ 5%
短线交易基本面检查
即使是短线题材股，也要检查：
- 是否有减持
- 是否亏损
- 是否有黑天鹅风险
避免踩中"黑天鹅"。
数据获取
调用 akshare-stock 获取：
- 财务报表数据
- 股东增减持数据
- 市盈率、股息率等估值数据
触发场景
- "这个股票基本面好吗"
- "能买吗会st吗"
- "有什么风险"
- "财务数据怎么样"
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 · 51 lines · 33 tokens per session scan A 3699e9cdb048
fundamental-screening is a skill published in the GitHub repository Lord1Egypt/awesome-skill-forge (2 stars, last pushed 3mo ago), licensed MIT. It adds 33 tokens to every session and 315 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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