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 agiprolabs/claude-trading-skills --skill strategy-frameworkgit clone --depth 1 https://github.com/agiprolabs/claude-trading-skillsWrote 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/agiprolabs/claude-trading-skills/strategy-framework)<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.
<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>- Socket pass
- Snyk warn
- NVIDIA SkillSpector pass
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 | $0.00026 | $0.02547 |
| Opus 5 | $0.00013 | $0.01273 |
| Sonnet 5 | $0.00005 | $0.00509 |
| Haiku 4.5 | $0.00003 | $0.00255 |
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.
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 — 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:
- State a falsifiable hypothesis about a market inefficiency
- Define precise, machine-testable entry and exit rules
- Specify position sizing and risk parameters before trading
- Set minimum performance criteria for continuation or retirement
- 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
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.
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.
- 11d ago First seen · 258 lines · 26 tokens per session scan A 04a8316fcceb
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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