LangAlpha is an agent workspace for researching financial markets and supporting investment decisions through persistent research, news analysis, and parallel subagents. It is for investors who want to develop and update trading theses over time, including generating long-short pair-trade ideas. The catalogue entries provide the skills, instructions, MCP servers, and plugin that make up its agent workflow.
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 ginlix-ai/LangAlpha --skill sector-overviewgit clone --depth 1 https://github.com/ginlix-ai/LangAlphaWrote 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/ginlix-ai/langalpha/sector-overview)<a href="https://agentmods.dev/skills/ginlix-ai/langalpha/sector-overview"><img src="https://agentmods.dev/badge/skills/ginlix-ai/langalpha/sector-overview.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 | $0.00019 | $0.00722 |
| Opus 5 | $0.00010 | $0.00361 |
| Sonnet 5 | $0.00004 | $0.00144 |
| Haiku 4.5 | $0.00002 | $0.00072 |
Grade A, and why
sector-overview 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 8d 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.
This is a copy
89% identical to sector-overview — 3 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 90 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Sector Overview
Workflow
Step 1: Define Scope
- Sector / subsector: What industry and how narrowly defined?
- Purpose: Client report, internal research, pitch material, idea generation
- Depth: High-level overview (5-10 pages) or deep dive (20-30 pages)
- Angle: Neutral landscape vs. thematic thesis (e.g., "AI infrastructure buildout")
- Universe: Public companies only, or include private?
Step 2: Market Overview
Market Size & Growth
- Total addressable market (TAM) with source
- Historical growth rate (5-year CAGR)
- Forecast growth rate and key assumptions
- Market segmentation (by product, geography, end market, customer type)
Industry Structure
- Fragmented vs. consolidated — top 5 market share
- Value chain map — where does value accrue?
- Business model types (subscription, transaction, licensing, services)
- Barriers to entry (capital, regulatory, technical, network effects)
Key Trends & Drivers
- Secular tailwinds (3-5 major trends)
- Headwinds and risks
- Technology disruption vectors
- Regulatory developments
- M&A activity and consolidation trends
Step 3: Competitive Landscape
Company Profiles (for top 5-10 players):
| Company | Revenue | Growth | EBITDA Margin | Market Share | Key Differentiator |
|---|---|---|---|---|---|
For each company, brief profile:
- Business description (2-3 sentences)
- Strategic positioning and moat
- Recent developments (earnings, M&A, product launches)
- Valuation snapshot (P/E, EV/EBITDA, EV/Revenue)
Competitive Dynamics
- How do companies compete? (price, product, service, distribution)
- Who is gaining/losing share and why?
- Disruption risk from new entrants or adjacent players
Step 4: Valuation Context
- Sector trading multiples (current and historical range)
- Premium/discount drivers (growth, margins, market position)
- Recent M&A transaction multiples
- How does the sector compare to the broader market?
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.
- 8d ago First seen · 90 lines · 19 tokens per session scan A 3a0e2bd05575
sector-overview is a skill published in the GitHub repository ginlix-ai/LangAlpha (1,727 stars, last pushed today), licensed Apache-2.0. It adds 19 tokens to every session and 722 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 89% identical to sector-overview, differing in 3 lines, and is treated as a copy.
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