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 trade-pitchgit 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/trade-pitch)<a href="https://agentmods.dev/skills/ginlix-ai/langalpha/trade-pitch"><img src="https://agentmods.dev/badge/skills/ginlix-ai/langalpha/trade-pitch/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/ginlix-ai/langalpha/trade-pitch"><img src="https://agentmods.dev/badge/skills/ginlix-ai/langalpha/trade-pitch.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00061 | $0.03067 |
| Opus 5.5 | $0.00024 | $0.01227 |
| Sonnet 5.5 | $0.00012 | $0.00613 |
| Haiku 4.5 | $0.00006 | $0.00307 |
Grade A, and why
trade-pitch 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 25d 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 — 119 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Trade Pitch
The terminus of the research. A finished analysis becomes a position: a direction, a variant view, the evidence that carries it, a scenario tree, an expression, a level that says we were wrong, and a plan for watching it. The pitch is research output for a professional reader, and its verbs describe what the analysis supports; personalised advice and execution instructions sit outside it, which is why the vocabulary ends at re-underwrite rather than at a size, and why size appears only as a fraction of a stated loss budget, per the registered extension in .agents/skills/research-conventions/references/judgment.md.
Every figure in a pitch is load-bearing, which makes this the deliverable where unsupported precision does the most damage. Evidence labels, source tiers, staleness, the readiness posture and the intake limits: .agents/skills/research-conventions/SKILL.md, read before the first figure enters the pitch.
Instrument mechanics for anything other than long common stock, the short-side gate, and the worked reconciliation of two loss limits: .agents/skills/trade-pitch/references/expression.md.
Step 1: Intake, and the posture the inputs support
Read the investor-mandate memory first per .agents/skills/research-conventions/references/intake.md, then ask only about the forks it leaves open. Four things are fixed before any work starts:
| Slot | Taken from | Default when unstated |
|---|---|---|
| Direction | the request | the direction the source analysis already leans, stated as an assumption |
| Horizon | mandate memory, then the catalyst that closes the gap | two to eight quarters |
| The analysis it rests on | a named artifact: a dcf-model workbook, a comps-analysis, an earnings-analysis print, an initiating-coverage initiation, or the user's own stated view |
none; see below |
| Mandate slots | mandate memory: vehicle, benchmark, risk posture, scope, instruments allowed | disclosed in the delivery message |
The pitch rests on something named. Record the artifact, its as-of, and which of its outputs the pitch uses (the fair-value range, the peer multiple, the revision path). Where no finished analysis exists, say so in one sentence, name which skill would produce it, and either build that first or deliver a screen-grade pitch that says the underwriting is still owed.
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.
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.
- 25d ago Changed ea766c77a81e
- 1mo ago First seen · 119 lines · 61 tokens per session scan A 9201cb6c371c
trade-pitch is a skill published in the GitHub repository ginlix-ai/LangAlpha (1,820 stars, last pushed today), licensed Apache-2.0. It adds 61 tokens to every session and 3,067 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-09-16.
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