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-leader-identificationgit 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-leader-identification)<a href="https://agentmods.dev/skills/lord1egypt/awesome-skill-forge/a-stock-leader-identification"><img src="https://agentmods.dev/badge/skills/lord1egypt/awesome-skill-forge/a-stock-leader-identification/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-leader-identification"><img src="https://agentmods.dev/badge/skills/lord1egypt/awesome-skill-forge/a-stock-leader-identification.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 | $0.00030 | $0.00343 |
| Opus 5 | $0.00015 | $0.00171 |
| Sonnet 5 | $0.00006 | $0.00069 |
| Haiku 4.5 | $0.00003 | $0.00034 |
Grade A, and why
leader-stock-identification 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
龙头股识别 Skill
核心能力
快速找到板块内的"真龙"，而不是跟风杂毛。
龙头股识别规则
启动信号
- 板块内第一个涨停
- 封单量占流通盘比例 > 1%
强度验证
- 连续2日涨停
- 换手率保持在 10%-20%
- 过高易出货
- 过低易炸板
辨识度
- 叠加多重题材（如"人工智能+算力"）
- 或为行业龙头公司
实战流程
- 板块爆发时，先找第一个涨停的标的
- 看封单强度和题材正宗度
- 锁定龙头后直接跟进
- 避免在跟风股上浪费时间
排除杂毛的特征
- 跟风涨停，非板块引领者
- 封单量小，易被砸
- 题材不正宗，纯炒概念
- 换手率异常（过高或过低）
触发场景
- "谁是AI板块龙头"
- "这个板块谁是真龙"
- "能追吗还是买跟风股"
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 · 47 lines · 30 tokens per session scan A a7a09045b215
leader-stock-identification is a skill published in the GitHub repository Lord1Egypt/awesome-skill-forge (2 stars, last pushed 3mo ago), licensed MIT. It adds 30 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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