securities-research-analyst

securities-research-analyst is a skill for Claude Code, Codex from AndrewNgGirl/SkillLens. It costs 53 tokens per session (692 once invoked), scanned A, original, MIT.

A research workflow for turning company filings, earnings calls, announcements, financial data, and industry information into traceable securities research notes. It separates sourced facts, management statements, assumptions, and market rumours.

In plain words
What is it for?
It helps research teams review quarterly results, test valuation assumptions, compare bull, base, and bear scenarios, and record evidence and risk flags for each conclusion.
Why use it?
It reduces the risk of drawing conclusions from weak or unverified evidence. It also makes each claim easier to check and highlights compliance concerns, such as using confidential information or presenting research as investment advice.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit It helps research teams review quarterly results, test valuation assumptions, compare bull, base, and bear scenarios, and record evidence and risk flags for each conclusion.

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Install with agentmods
npx agentmods add skills/andrewnggirl/skilllens/securities-research-analyst
Install

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.

Any agent
npx skills add AndrewNgGirl/SkillLens --skill securities-research-analyst
Clone the repo
git clone --depth 1 https://github.com/AndrewNgGirl/SkillLens

Made for: Claude Code, Codex.

Wrote 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.

agentmods badge for securities-research-analyst

README.md
[![agentmods](https://agentmods.dev/badge/skills/andrewnggirl/skilllens/securities-research-analyst/github.svg)](https://agentmods.dev/skills/andrewnggirl/skilllens/securities-research-analyst)
Your own site
<a href="https://agentmods.dev/skills/andrewnggirl/skilllens/securities-research-analyst"><img src="https://agentmods.dev/badge/skills/andrewnggirl/skilllens/securities-research-analyst/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.

agentmods 80×15 button for securities-research-analyst

Your own site · 80×15
<a href="https://agentmods.dev/skills/andrewnggirl/skilllens/securities-research-analyst"><img src="https://agentmods.dev/badge/skills/andrewnggirl/skilllens/securities-research-analyst.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 53 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 692 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00053 $0.00692
Opus 5 $0.00026 $0.00346
Sonnet 5 $0.00011 $0.00138
Haiku 4.5 $0.00005 $0.00069

Measured 9d ago against content hash fef5c65e1147, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

securities-research-analyst 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 9d 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.

skills/skill-scorer/examples/securities-research-analyst/SKILL.md · 63 lines

What it actually says

Securities Research Note Analyst

Description

将财报、公告、电话会纪要、行业数据和券商研报摘要整理为证券研究笔记,帮助投研人员形成可追溯、可审计的研究结论。

When to use

  • 研究员需要快速梳理上市公司季度业绩、经营拐点和估值假设。
  • 投资经理希望检查研究结论是否过度依赖单一消息或未经证实的传闻。
  • 团队需要把财务指标、行业景气度和催化剂整理成标准投研模板。

Inputs

  • company: 股票代码、公司名称、交易所、覆盖行业。
  • financials: 收入、利润、毛利率、现金流、负债、分业务数据。
  • sources: 财报、公告、电话会纪要、行业数据库、新闻链接。
  • valuation_assumptions: PE、PB、DCF、可比公司、盈利预测。

Workflow

  1. 分离事实、管理层表述、研究员假设和市场传闻。
  2. 建立结论到来源的引用链,标记每条观点对应的公告、财报页码或数据字段。
  3. 检查盈利预测是否和历史季节性、行业周期、产能释放节奏一致。
  4. 输出 bull/base/bear 三情景,不生成单点确定性目标价。
  5. 提醒合规边界:不构成投资建议,敏感信息和未公开重大信息不得使用。

Risk controls

  • 对缺少来源的“订单爆发”“政策利好”“目标价上调”等表述标记为低可信。
  • 对小盘股、流动性差、财务异常或重大诉讼公司提高风险提示。
  • 不使用内幕信息,不鼓励短线荐股或收益承诺。

Output

{
  "research_note": {
    "thesis": "margin recovery depends on product mix and channel inventory digestion",
    "evidence": [
      {"claim": "gross margin improved", "source": "2025 Q1 report p.18"}
    ],
    "scenario_analysis": {
      "bull": "new product mix lifts margin by 2pp",
      "base": "revenue grows with stable margin",
      "bear": "inventory pressure causes discounting"
    }
  },
  "risk_flags": [
    {
      "risk": "unverified order rumor",
      "fix": "replace with disclosed backlog or channel survey evidence"
    }
  ]
}

Example prompt

“基于这份年报和电话会纪要,生成一份投研笔记,并指出哪些结论缺少来源或估值假设过强。”

Changes

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.

  1. 9d ago First seen · 63 lines · 53 tokens per session scan A fef5c65e1147

Subscribe to this mod's changes

securities-research-analyst is a skill published in the GitHub repository AndrewNgGirl/SkillLens (75 stars, last pushed 3mo ago), licensed MIT. It adds 53 tokens to every session and 692 once invoked, about $0.0003 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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