trade-hypothesis-ideator

trade-hypothesis-ideator is a skill for Claude Code, Codex from BaggaT236/AI-Trading-Skills. It costs 60 tokens per session (644 once invoked), scanned A, a copy of trade-hypothesis-ideator, MIT.

A workflow for turning trading records, journal notes, market data, or observations into testable strategy ideas. Each idea includes an experiment design and conditions that would show it is not working.

In plain words
What is it for?
Use it to create and rank one to five trading hypotheses, define validation experiments and stop conditions, and optionally export selected ideas for further research.
Why use it?
It helps convert informal market impressions into clearly stated claims that can be tested before committing money. It can also rank ideas and export selected ones in a strategy file format.

Skill for Claude CodeCodex

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

Good fit Use it to create and rank one to five trading hypotheses, define validation experiments and stop conditions, and optionally export selected ideas for further research.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/baggat236/ai-trading-skills/trade-hypothesis-ideator
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 BaggaT236/AI-Trading-Skills --skill trade-hypothesis-ideator
Clone the repo
git clone --depth 1 https://github.com/BaggaT236/AI-Trading-Skills

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 trade-hypothesis-ideator

README.md
[![agentmods](https://agentmods.dev/badge/skills/baggat236/ai-trading-skills/trade-hypothesis-ideator/github.svg)](https://agentmods.dev/skills/baggat236/ai-trading-skills/trade-hypothesis-ideator)
Your own site
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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 trade-hypothesis-ideator

Your own site · 80×15
<a href="https://agentmods.dev/skills/baggat236/ai-trading-skills/trade-hypothesis-ideator"><img src="https://agentmods.dev/badge/skills/baggat236/ai-trading-skills/trade-hypothesis-ideator.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 60 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 644 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 100% copy Near-identical to another mod 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 $0.00060 $0.00644
Opus 5.5 $0.00024 $0.00258
Sonnet 5.5 $0.00012 $0.00129
Haiku 4.5 $0.00006 $0.00064

Measured 1mo ago against content hash c779bb26e655, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

trade-hypothesis-ideator 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 1mo ago.

The scan reads SKILL.md. This mod also ships 14 executable files (scripts/pipeline/__init__.py, scripts/pipeline/evidence_extractor.py, scripts/pipeline/format_output.py, …), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Origin

This is a copy

100% identical to trade-hypothesis-ideator — 0 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.

skills/trade-hypothesis-ideator/SKILL.md · 69 lines

How it starts

The opening of the file, as written. The whole thing — 69 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Trade Hypothesis Ideator

Generate 1-5 structured hypothesis cards from a normalized input bundle, critique and rank them, then optionally export pursue cards into strategy.yaml + metadata.json artifacts.

When to Use

  • After gathering trade logs, journal entries, or market observations that suggest a potential edge
  • When you have a structured input bundle (JSON) with evidence snippets and want falsifiable hypotheses
  • To bridge qualitative observations into quantitative experiment designs
  • Before committing capital to validate a new strategy idea with kill criteria

Prerequisites

  • Input JSON bundle with one or more of: trade_log, journal_snippets, market_data, observations
  • Python 3.9+ with pyyaml installed
  • No external API keys required (pure calculation skill)

Workflow

  1. Receive input JSON bundle.
  2. Run pass 1 normalization + evidence extraction.
  3. Generate hypotheses with prompts:
    • prompts/system_prompt.md
    • prompts/developer_prompt_template.md (inject {{evidence_summary}})
  4. Critique hypotheses with prompts/critique_prompt_template.md.
  5. Run pass 2 ranking + output formatting + guardrails.
  6. Optionally export pursue hypotheses via Step H strategy exporter.

Scripts

  • Pass 1 (evidence summary):
python3 skills/trade-hypothesis-ideator/scripts/run_hypothesis_ideator.py \
  --input skills/trade-hypothesis-ideator/examples/example_input.json \
  --output-dir reports/
  • Pass 2 (rank + output + optional export):
python3 skills/trade-hypothesis-ideator/scripts/run_hypothesis_ideator.py \
  --input skills/trade-hypothesis-ideator/examples/example_input.json \
  --hypotheses reports/raw_hypotheses.json \
  --output-dir reports/ \
  --export-strategies

Output

  • hypothesis_cards_<date>.json — Ranked hypothesis cards with verdicts (pursue, revise, discard)
  • hypothesis_cards_<date>.md — Human-readable summary with experiment designs and kill criteria
  • strategy_<hypothesis_id>.yaml — (Optional) Edge-finder-compatible strategy export for pursue cards
  • metadata_<hypothesis_id>.json — (Optional) Provenance metadata for exported strategies

Read the full file on GitHub · 69 lines

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. 1mo ago First seen · 69 lines · 60 tokens per session scan A c779bb26e655

Subscribe to this mod's changes

trade-hypothesis-ideator is a skill published in the GitHub repository BaggaT236/AI-Trading-Skills (138 stars, last pushed 1mo ago), licensed MIT. It adds 60 tokens to every session and 644 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 100% identical to trade-hypothesis-ideator, differing in 0 lines, and is treated as a copy.

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