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 davidromeo/tradeblocks-skills --skill comparegit clone --depth 1 https://github.com/davidromeo/tradeblocks-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/davidromeo/tradeblocks-skills/compare)<a href="https://agentmods.dev/skills/davidromeo/tradeblocks-skills/compare"><img src="https://agentmods.dev/badge/skills/davidromeo/tradeblocks-skills/compare/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/davidromeo/tradeblocks-skills/compare"><img src="https://agentmods.dev/badge/skills/davidromeo/tradeblocks-skills/compare.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 | $0.00053 | $0.01692 |
| Opus 5 | $0.00026 | $0.00846 |
| Sonnet 5 | $0.00011 | $0.00338 |
| Haiku 4.5 | $0.00005 | $0.00169 |
Grade A, and why
compare 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 10d 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 — 186 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Performance Comparison
Explore differences between strategies, execution modes, or time periods.
Prerequisites
- TradeBlocks MCP server running
- At least one block with trade data loaded
- For backtest vs actual: Both trade log and reporting log for the same strategy
- For strategy vs strategy: Multi-strategy block or two blocks
- For block vs block: Two or more blocks
Process
Step 1: Identify Comparison Type
Ask the user what they want to compare:
| Type | Use Case | Primary Tool |
|---|---|---|
| Backtest vs Actual | Explore theoretical vs live execution | compare_backtest_to_actual |
| Strategy vs Strategy (same block) | Compare strategies within a portfolio | get_strategy_comparison |
| Block vs Block | Compare separate portfolios side-by-side | compare_blocks / block_diff |
| Period vs Period | Analyze same strategy across time ranges | get_period_returns |
Ask: "What would you like to compare?"
Step 2a: Backtest vs Actual Comparison
Use compare_backtest_to_actual to explore how theoretical performance compares to live execution.
Key parameters:
blockId: Block folder namescaling: How to compare P&L fairly (see below)strategy: Optional filter to specific strategydateRange: Optional date filtermatchedOnly: Only include trades where both backtest and actual existgroupBy: Group results by"none","strategy","date","week", or"month"detailLevel:"summary"(aggregate by date+strategy) or"trades"(individual trade comparison with field-by-field differences)outliersOnly: Only return high-slippage outliers (z-score threshold)outliersThreshold: Z-score threshold for outlier detection (default: 2)
Scaling modes (see references/scaling.md):
| Mode | What It Does | Use When |
|---|---|---|
raw |
Shows P&L as-is | Contract sizes match between backtest and actual |
perContract |
Divides each P&L by contract count | Comparing per-lot performance regardless of size |
toReported |
Scales backtest DOWN to match actual contract count | Backtest uses more contracts than actual |
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.
- 10d ago First seen · 186 lines · 53 tokens per session scan A f555cc4619f1
compare is a skill published in the GitHub repository davidromeo/tradeblocks-skills (2 stars, last pushed 5mo ago), licensed MIT. It adds 53 tokens to every session and 1,692 once invoked, about $0.0003 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 2026-08-31.
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