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 seaworld008/Commonly-used-high-value-skills --skill investment-memo-writergit clone --depth 1 https://github.com/seaworld008/Commonly-used-high-value-skillsWrote 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/seaworld008/commonly-used-high-value-skills/investment-memo-writer)<a href="https://agentmods.dev/skills/seaworld008/commonly-used-high-value-skills/investment-memo-writer"><img src="https://agentmods.dev/badge/skills/seaworld008/commonly-used-high-value-skills/investment-memo-writer/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/seaworld008/commonly-used-high-value-skills/investment-memo-writer"><img src="https://agentmods.dev/badge/skills/seaworld008/commonly-used-high-value-skills/investment-memo-writer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium MCP Rug Pull · line 26 npx commands without a version suffix (e.g. @1.0.0) create a rug-pull risk if the upstream server is compromised and publishes a malicious update.Fix: Pin the version: npx @scope/[email protected]
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 | $0.00039 | $0.01861 |
| Opus 5 | $0.00019 | $0.00931 |
| Sonnet 5 | $0.00008 | $0.00372 |
| Haiku 4.5 | $0.00004 | $0.00186 |
Grade A, and why
investment-memo-writer 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 5d 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 — 138 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Investment Memo Writer (投资备忘录撰写师)
将零散的研究笔记转化为能够承受投资委员会(IC)审视的决策文档。本技能专注于将事实、逻辑与前瞻性判断有机融合,生成一份包含投资论据(Thesis)、催化剂(Catalysts)、风险(Risks)及估值(Valuation)的专业投资备忘录。
安装与前提条件
# 确保已安装文档处理库
pip install markdown docx
# 下载备忘录模板
npx clawhub install investment-memo-writer
触发条件 / When to Use
- 正式投资建议 (IC Memo Drafting):在决定开仓前,为投资委员会或基金经理提交正式的买入/卖出申请。
- 投研交接 (PM Handoff):研究员将覆盖标的移交给交易员或投资经理时。
- 季度策略复盘 (Quarterly Thesis Refresh):当核心逻辑发生变化时,更新原有标的的投资假设。
- 多空深度报告 (Long/Short Initiation Notes):首次覆盖某一行业或个股时的深度论述。
- 尽职调查汇总 (DD Summary):在完成一系列专家访谈和案头研究后,汇总核心发现。
核心能力 / Core Capabilities
1. 结构化论点梳理 (Thesis Structuring)
- 操作步骤:
- 收集推荐结论(买入/卖出/持有)及目标价。
- 提取核心投资逻辑点:为什么市场错了?我们的差异化认知是什么?
- 定义投资时间线(Time Horizon)。
- 最佳实践:采用“核心三点论”,确保每个论点都有独立的数据支撑。
2. 催化剂与里程碑设定 (Catalyst & Milestone Identification)
- 操作步骤:
- 识别未来 6-12 个月内的关键驱动因素。
- 区分硬催化剂(如财报、临床试验、合并投票)和软催化剂(如产品口碑、行业情绪转向)。
- 最佳实践:明确标出“监控项”(Monitoring Items),即什么情况发生意味着催化剂失效。
3. 多场景估值与安全边际 (Scenario Analysis & Margin of Safety)
- 操作步骤:
- 输入 Bull (乐观), Base (基准), Bear (悲观) 三种情景下的财务假设。
- 计算每种情景下的预期回报(Expected Return)。
- 分析当前价格下的“风险收益比”(Risk-Reward Ratio)。
- 最佳实践:强调在 Bear Case 下的下行空间(Downside),这是委员会最关心的点。
4. 风险评估与对冲建议 (Risk Assessment)
- 操作步骤:
- 识别核心风险:执行风险、监管风险、宏观风险。
- 分析因子暴露:该笔投资是否会增加组合在“价值”或“科技”因子上的过度暴露。
- 提出对冲建议(如:买入行业 ETF 的 Puts)。
常用命令/模板 / Common Patterns
投资备忘录输入 JSON 模板 (Memo Input JSON)
{
"ticker": "AMZN",
"recommendation": "BUY",
"target_price": 245.0,
"horizon": "12-18 Months",
"thesis": [
"AWS growth re-acceleration driven by AI workload migration",
"Advertising margins improving with high incremental EBITDA",
"Logistics optimization reducing per-package delivery cost"
],
"catalysts": [
"Q3 Cloud Revenue guidance beat",
"Prime Day record sales volume",
"Capex efficiency metrics showing lower intensity"
],
"risks": [
"Regulatory pressure on cloud dominance",
"Consumer spend softening in EU/NA markets"
]
}
What ships with it
3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 5d ago Changed 01a9223eca33
- 9d ago First seen · 138 lines · 39 tokens per session scan A 3a3cfaeb5c48
investment-memo-writer is a skill published in the GitHub repository seaworld008/Commonly-used-high-value-skills (70 stars, last pushed 5d ago), licensed MIT. It adds 39 tokens to every session and 1,861 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 2026-09-03.
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