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 agentmods add skills/ginlix-ai/langalpha/competitive-analysisnpx skills add ginlix-ai/LangAlpha --skill competitive-analysisgit 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/competitive-analysis)<a href="https://agentmods.dev/skills/ginlix-ai/langalpha/competitive-analysis"><img src="https://agentmods.dev/badge/skills/ginlix-ai/langalpha/competitive-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 | $0.00018 | $0.03745 |
| Opus 5 | $0.00009 | $0.01872 |
| Sonnet 5 | $0.00004 | $0.00749 |
| Haiku 4.5 | $0.00002 | $0.00375 |
Grade A, and why
competitive-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.
Copies of this mod
2 near-identical copies found in the catalogue:
- competitive-analysis — 89% identical, 5 lines differ
- competitive-analysis — 89% identical, 5 lines differ
How it starts
The opening of the file, as written. The whole thing — 361 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Competitive Landscape Mapping
CRITICAL STANDARDS - APPLY TO EVERY ANALYSIS
Source File Primacy
When source files (Excel/CSV) are provided:
- Extract values DIRECTLY — Do not perform your own calculations; use the numbers as they appear
- Maintain consistency — When the same metric appears in multiple places, ensure identical values throughout
- Verify calculations — If the prompt asks you to calculate something, verify your result matches related data in the source
- Round only as shown — Use the same decimal precision as the source file
Prompt Fidelity
When the prompt specifies exact requirements, follow them verbatim:
Slide Titles & Section Names:
- If prompt says
"Overview and Competitive Scope" slide— use EXACTLY that title, not a paraphrase - If prompt says
within the "Segment Mix" section— use EXACTLY "Segment Mix" as the section header - Never substitute with creative alternatives (e.g., don't use "FY2024 Segment Contribution Analysis" when "Overview and Competitive Scope" was specified)
Chart vs Table:
- If prompt says
embedded chart— create an actual PowerPoint chart object, NOT a table - If prompt says
data labels must display— these go on chart elements (bars, slices, lines), not table cells - Tables and charts are NOT interchangeable — use exactly what's specified
Complete Data Series:
- If prompt lists 7 competitors, include ALL 7 — not 5 or 6
- If prompt shows data for years 2015-2025, include ALL years — not a subset
- If prompt specifies 6 series in a chart (Uber, Lyft, DiDi, Bolt, Grab, Gojek), include ALL 6 — not 4
Exact Values & Phrasing:
- If prompt says
Revenue: $43.98B (+18% YoY)— display exactly that format - If prompt says
surpasses DoorDash 4:1, Lyft 8:1— use those exact ratios, not "7.6x Lyft" - If prompt gives specific percentages (e.g., "Uber 30%, DiDi 35%"), use exactly those numbers
When in doubt: Re-read the prompt. If it specifies something explicitly, that's not a suggestion — it's a requirement.
What ships with it
2 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.
- 6d ago First seen · 361 lines · 18 tokens per session scan A 9b245076ccb8
competitive-analysis is a skill published in the GitHub repository ginlix-ai/LangAlpha (1,722 stars, last pushed today), licensed Apache-2.0. It adds 18 tokens to every session and 3,745 once invoked, about $0.0001 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 2026-08-30.
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