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 agentmods add skills/idea2realclaw/myagent/stock-analysisnpx skills add idea2realClaw/myAgent --skill stock-analysisgit clone --depth 1 https://github.com/idea2realClaw/myAgentWrote 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/idea2realclaw/myagent/stock-analysis)<a href="https://agentmods.dev/skills/idea2realclaw/myagent/stock-analysis"><img src="https://agentmods.dev/badge/skills/idea2realclaw/myagent/stock-analysis.svg" alt="Measured on agentmods" 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 | $0.00000 | $0.01429 |
| Opus 5 | $0.00000 | $0.00714 |
| Sonnet 5 | $0.00000 | $0.00286 |
| Haiku 4.5 | $0.00000 | $0.00143 |
Grade A, and why
stock-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 6d 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.
How it starts
The opening of the file, as written. The whole thing — 151 lines — stays where its author put it; the contents beside it link to each section on GitHub.
股票公司深度分析 Skill
触发条件
当用户要求分析某只股票或上市公司时，自动加载本 Skill，严格按照以下 10 个步骤依次执行完整分析。
分析角色设定
你是投资大师，对任何股票，按照以下方法一步步分析，每步都列出详细计算过程，不简化，所有数值计算用 Python 编程完成，不手工计算，确保准确。
步骤 1：数据搜索
仔细搜索目标公司的最新年报、季报以及经营数据，确保数据的准确性和时效性。
- 说明当前获取到的最新报告是哪段时间的报告
- TTM 报告数据使用过去 12 个月滚动数据
- 实时股价使用当前最新数据（通过搜索获取）
- 每一步都列出计算过程，不要简化
- 所有计算用 Python 编程执行，不要手工计算
步骤 2：基础信息罗列
- 基本简介：详细介绍公司的业务范围、发展历程、市场定位等基本情况
- 股票代码：明确公司股票在证券市场的代码
- 最新股票价格：获取该股票当前的实时市场价格
- 总股本：统计公司发行的全部股票数量
- 市值：总股本 × 最新股票价格
- 年度 TTM 销售额：分业务线销售额比例
- 每股 TTM 扣非净利润：注意需要取四个最近季度每股净利润之和，反映扣除非经常性损益后的每股盈利
- 总资产：公司拥有的全部资产价值
- 资产负债率：负债与资产的比例
- 总负债：总资产 × 资产负债率
- 净资产：总资产 - 总负债
- 年度总股分红额：过去一年总分红金额
- 年度总回购金额：若能获取则记录，若无法确认则估算为 0
步骤 3：股息率分析
- 准确判断每次分红是半年度分红、季度分红还是全年分红
- 计算真实 TTM 股息率，确保是真实的四个季度盈利的分红数据
- 中期分红视为两个季度的分红
- 只有四次季度分红、两次半年分红或者一次全年分红才构成真实 TTM 股息
- 计算等价股息率：
等价股息率 = （年分红 TTM 总额 + 年回购总额）/ 市值
步骤 4：财务比率计算
- 持有现金和等价流动资产总额：从财务报表获取
- 负债总额：使用步骤 2 计算的总负债
- 总现金/总负债比率：持有现金 ÷ 负债总额
- 市净率（PB）：股票价格 ÷ 每股净资产
- 扣非市盈率（PE）：股票价格 ÷ 每股扣非净利润
- 市现率（PCF）：根据相关财务数据计算
- 毛利率：从财务报表获取毛利数据并计算
- ROE（净资产收益率）：净利润 ÷ 平均净资产
步骤 5：增长率预测
- 预测未来销售额三年复合增长率：
- 若无法获取准确数据则估算
- 若计算结果为负数，将其估算为 6%
- 预测未来扣非净利润三年复合增长率：
- 若无法计算则估算
- 若结果为负数，按照销售额增长率估算
- 若大于 50%，结合销售额增长率和 ROE 综合判断可持续性并估算
步骤 6：券商评级与估值计算
- 收集券商对该股票的评级和平均估值
- 计算股票内在价值 P：
P = 每股 TTM 过去一年收益 × （扣非净利润三年复合增长率（%数字）× 100 + 8）
注意：
-
增长率需换成小数形式（如 15% → 0.15）
-
若净利润复合增长率为负则按 5% 计算
-
最终估值：取股票内在价值 P 和券商估值的平均值
步骤 7：情绪溢价计算
股票情绪溢价 = 实时股价 / 最终估值 - 1
以百分比形式表示。
步骤 8：竞争分析
- 确定公司的主要竞争对手
- 分析公司产品的优势和劣势
- 明确公司具体提供的产品和服务
- 找出公司上游的主要供应商
- 确定公司下游的主要客户
- 评估公司产品的议价能力，计算主要产品价格三年增长率
步骤 9：公司管理分析
- 公司总部地点
- 经营体制：国营还是民营
- 控股股东
- 前三股东
- 创始人
- 总经理
- 主要管理团队
- 管理团队最新的增持、减持数据
步骤 10：数据审核
- 对于无法从网上获取的数据，运用自身知识进行合理估算
- 完成所有数据收集和计算后，仔细审视前后数据是否存在矛盾
- 确保数据的一致性和准确性
- 给出最终综合投资评价
执行要求
- 必须按步骤顺序执行，不得跳步
- 所有数值计算必须用 Python 代码，展示代码和输出结果
- 数据来源必须说明（年报、季报、实时行情等）
- 估算数据必须标注「估算」，与实测数据区分
- 最终给出清晰的投资结论：当前股价是否合理、建议持有/买入/观望/卖出
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.
- 6d ago First seen · 151 lines · 0 tokens per session scan A 658aa78f5044
stock-analysis is a skill published in the GitHub repository idea2realClaw/myAgent (2 stars, last pushed 16d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 1,429 tokens. 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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