strategy-framework

strategy-framework is a skill for Claude Code from agiprolabs/claude-trading-skills. It costs 26 tokens per session (2,547 once invoked), scanned A, original, MIT.

A structured template for defining and documenting trading strategies. It covers the rules for entering and leaving trades, position size, risk limits, and performance standards.

In plain words
What is it for?
It helps traders write machine-testable strategies, set position and risk parameters, define when a strategy should continue or stop, and track strategy changes over time.
Why use it?
It turns vague trading ideas into rules that can be tested and reviewed, while reducing emotional decisions and unmanaged risk.

Skill for Claude Code

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

Part of the trading-skills plugin — 68 skills shipped together

not rated 354repo +11 8d ago A scan Socket: passSnyk: warnSkillSpector: pass 26 tokens original MIT

Good fit It helps traders write machine-testable strategies, set position and risk parameters, define when a strategy should continue or stop, and track strategy changes over time.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/agiprolabs/claude-trading-skills/strategy-framework
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 agiprolabs/claude-trading-skills --skill strategy-framework
Clone the repo
git clone --depth 1 https://github.com/agiprolabs/claude-trading-skills

Made for: Claude Code.

Or install trading-skills, the plugin that ships this one along with the rest of its 68 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 strategy-framework

README.md
[![agentmods](https://agentmods.dev/badge/skills/agiprolabs/claude-trading-skills/strategy-framework/github.svg)](https://agentmods.dev/skills/agiprolabs/claude-trading-skills/strategy-framework)
Your own site
<a href="https://agentmods.dev/skills/agiprolabs/claude-trading-skills/strategy-framework"><img src="https://agentmods.dev/badge/skills/agiprolabs/claude-trading-skills/strategy-framework/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 strategy-framework

Your own site · 80×15
<a href="https://agentmods.dev/skills/agiprolabs/claude-trading-skills/strategy-framework"><img src="https://agentmods.dev/badge/skills/agiprolabs/claude-trading-skills/strategy-framework.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 26 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,547 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. Third-party audits
  • Socket pass 21 Mar 2026
  • Snyk warn 21 Mar 2026
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original 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 $0.00026 $0.02547
Opus 5 $0.00013 $0.01273
Sonnet 5 $0.00005 $0.00509
Haiku 4.5 $0.00003 $0.00255

Measured 11d ago against content hash 04a8316fcceb, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

strategy-framework 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 11d ago.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/define_strategy.py, scripts/strategy_scorecard.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.

skills/strategy-framework/SKILL.md · 258 lines

How it starts

The opening of the file, as written. The whole thing — 258 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Strategy Framework

A standardized system for defining, documenting, testing, and managing trading strategies. This skill provides templates and tools that enforce discipline, enable reproducibility, and make strategies testable.

Why a Strategy Framework Matters

Trading without a written strategy framework leads to:

  • Inconsistency: ad-hoc decisions driven by emotion rather than rules
  • Untestability: vague ideas that cannot be backtested or evaluated
  • Scope creep: strategies that drift without version-controlled definitions
  • Unmanaged risk: missing stop losses, position limits, or drawdown halts

A strategy framework forces you to:

  1. State a falsifiable hypothesis about a market inefficiency
  2. Define precise, machine-testable entry and exit rules
  3. Specify position sizing and risk parameters before trading
  4. Set minimum performance criteria for continuation or retirement
  5. Track changes through versioned strategy documents

Strategy Definition Template

Every strategy must be documented using the standard template. The full copy-paste template is in references/strategy_template.md.

Core Sections

Identity

Name: SOL-EMA-Cross v1.0
Asset class: Solana tokens (top 50 by 24h volume)
Timeframe: Primary 1H, confirmation 4H
Style: Trend following

Edge Hypothesis: State what market inefficiency you are exploiting and why it exists.

Hypothesis: Solana mid-cap tokens exhibit momentum persistence
on the 1H timeframe due to retail herding behavior and low
institutional participation. EMA crossovers capture the
initiation of these trends.

Entry Rules: Specific, testable conditions combined with AND/OR logic.

def entry_signal(data: pd.DataFrame) -> bool:
    """All conditions must be True (AND logic)."""
    ema_cross = data["ema_12"] > data["ema_26"]  # EMA 12 crossed above 26
    ema_rising = data["ema_26"].diff(3) > 0       # 26 EMA trending up
    volume_ok = data["volume"] > data["vol_sma_20"] * 1.5  # Volume confirmation
    regime_ok = data["adx"] > 20                  # Trending regime
    return ema_cross & ema_rising & volume_ok & regime_ok

Read the full file on GitHub · 258 lines

Files

What ships with it

4 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.

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. 11d ago First seen · 258 lines · 26 tokens per session scan A 04a8316fcceb

Subscribe to this mod's changes

strategy-framework is a skill published in the GitHub repository agiprolabs/claude-trading-skills (354 stars, last pushed 8d ago), licensed MIT. It adds 26 tokens to every session and 2,547 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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