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 INo-xious/stockbit-mcp --skill strategy-backtestgit clone --depth 1 https://github.com/INo-xious/stockbit-mcpWrote 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/ino-xious/stockbit-mcp/strategy-backtest)<a href="https://agentmods.dev/skills/ino-xious/stockbit-mcp/strategy-backtest"><img src="https://agentmods.dev/badge/skills/ino-xious/stockbit-mcp/strategy-backtest/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/ino-xious/stockbit-mcp/strategy-backtest"><img src="https://agentmods.dev/badge/skills/ino-xious/stockbit-mcp/strategy-backtest.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- 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 | $0.00050 | $0.00611 |
| Opus 5 | $0.00025 | $0.00305 |
| Sonnet 5 | $0.00010 | $0.00122 |
| Haiku 4.5 | $0.00005 | $0.00061 |
Grade A, and why
strategy-backtest 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 — 44 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Strategy backtest
The sequence
strategy_compare symbol=…— nine built-in strategies over the same bars, ranked. This is the cheap first pass: it tells you whether anything on this symbol has an edge worth testing properly, and the bars are fetched once for all of them.backtest symbol=… strategy=…on the one or two that stood out. Setwalk_forward=trueand give itfolds. An in-sample result on two years of daily bars is a description of the past, and presenting one as a strategy is the single most misleading thing this server can be used to do.- Set
commission_buy_pctandcommission_sell_pctto the user's real fees. IDX defaults are roughly 0.15% buy and 0.25% sell, and the difference between gross and net is where most paper edges live. stop_loss_pct,take_profit_pctandmax_hold_barschange the answer more than the entry rule usually does.
- Set
pine_script symbol=… kind=strategyto hand it to TradingView, with the entry and exit conditions carried across.
workflow_run name=strategy_check and name=pine_handoff package steps 1–2 and 3.
What to report, and what not to
warningsandinconclusiveare the result, not a footnote. Read them out. If the backtest says the sample was too small, that is the answer to the user's question.- ARA/ARB-locked bars break fills. A limit-up day has no liquidity at the printed price. The backtester flags these; a strategy whose returns come from limit-locked entries did not happen.
- Two years of daily bars is about 480 sessions. That supports claims about daily setups. It does not support a claim about monthly seasonality, and it does not survive being sliced by regime.
- Trade count matters more than return. Nine trades with a 60% win rate is not a 60% win rate.
- Never annualise a backtest or extrapolate it forward.
Presenting it
Give the net return after commission, the trade count, the maximum drawdown, and the walk-forward folds side by side — if fold three lost money, that belongs in the first paragraph. Then the warnings. Then, plainly: backtested results do not predict future returns, and this is not advice.
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 · 44 lines · 50 tokens per session scan A 05f62ff088f8
strategy-backtest is a skill published in the GitHub repository INo-xious/stockbit-mcp (29 stars, last pushed yesterday), licensed MIT. It adds 50 tokens to every session and 611 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 2026-08-30.
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