stock-research-pipeline

stock-research-pipeline is a skill for Claude Code from samyakjain0606/awesome-stock-skills. It costs 158 tokens per session (3,070 once invoked), scanned A, original, no licence file.

An equity-research workflow that gathers company conference calls and investor presentations, sends them to Google NotebookLM, and produces a PDF research report. Equity research is the process of studying a company to assess its business and investment outlook.

In plain words
What is it for?
It helps research a company by collecting documents from screener.in, generating company- and sector-specific questions, analyzing the sources in NotebookLM, and creating a deep-dive PDF.
Why use it?
It organizes source collection and analysis steps that would otherwise require several separate tools and manual research.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the awesome-stock-skills plugin — 5 skills shipped together

Good fit It helps research a company by collecting documents from screener.in, generating company- and sector-specific questions, analyzing the sources in NotebookLM, and creating a deep-dive PDF.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/samyakjain0606/awesome-stock-skills/stock-research-pipeline
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 samyakjain0606/awesome-stock-skills --skill stock-research-pipeline
Clone the repo
git clone --depth 1 https://github.com/samyakjain0606/awesome-stock-skills

Made for: Claude Code.

Or install awesome-stock-skills, the plugin that ships this one along with the rest of its 5 skills.

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 stock-research-pipeline

README.md
[![agentmods](https://agentmods.dev/badge/skills/samyakjain0606/awesome-stock-skills/stock-research-pipeline/github.svg)](https://agentmods.dev/skills/samyakjain0606/awesome-stock-skills/stock-research-pipeline)
Your own site
<a href="https://agentmods.dev/skills/samyakjain0606/awesome-stock-skills/stock-research-pipeline"><img src="https://agentmods.dev/badge/skills/samyakjain0606/awesome-stock-skills/stock-research-pipeline/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 stock-research-pipeline

Your own site · 80×15
<a href="https://agentmods.dev/skills/samyakjain0606/awesome-stock-skills/stock-research-pipeline"><img src="https://agentmods.dev/badge/skills/samyakjain0606/awesome-stock-skills/stock-research-pipeline.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 158 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 3,070 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin unknown 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 $0.00158 $0.03070
Opus 5 $0.00079 $0.01535
Sonnet 5 $0.00032 $0.00614
Haiku 4.5 $0.00016 $0.00307

Measured 12d ago against content hash 9eb1e9d1f899, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

stock-research-pipeline scanned grade A with 1 finding 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

curl -sL -o "data/companies/{SYMBOL}/concalls/{SYMBOL}_concall_{YYYY-MM}.pdf" "{URL}"
skills/stock-research-pipeline/SKILL.md · 316 lines

The source is not reproduced here

No licence file

A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.

Read it on GitHub

Files

What ships with it

1 file 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.

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. 12d ago First seen · 316 lines · 158 tokens per session scan A 9eb1e9d1f899

Subscribe to this mod's changes

stock-research-pipeline is a skill published in the GitHub repository samyakjain0606/awesome-stock-skills (25 stars, last pushed 4mo ago), with no licence file. It adds 158 tokens to every session and 3,070 once invoked, about $0.0008 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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