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 DevDizzle/gammarips-mcp --skill gammarips-exit-labgit clone --depth 1 https://github.com/DevDizzle/gammarips-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/devdizzle/gammarips-mcp/gammarips-exit-lab)<a href="https://agentmods.dev/skills/devdizzle/gammarips-mcp/gammarips-exit-lab"><img src="https://agentmods.dev/badge/skills/devdizzle/gammarips-mcp/gammarips-exit-lab/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/devdizzle/gammarips-mcp/gammarips-exit-lab"><img src="https://agentmods.dev/badge/skills/devdizzle/gammarips-mcp/gammarips-exit-lab.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 | $0.00095 | $0.00855 |
| Opus 5.5 | $0.00038 | $0.00342 |
| Sonnet 5.5 | $0.00019 | $0.00171 |
| Haiku 4.5 | $0.00010 | $0.00085 |
Grade A, and why
gammarips-exit-lab 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.
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 — 61 lines — stays where its author put it; the contents beside it link to each section on GitHub.
GammaRips exit lab
Help the user test an exit rule against history. The tools score the rule. The
user decides. These tools need GammaRips Pro. If a call returns
subscription_required, give the user the tool's message as it is written,
offer get_playbook(name="exit-lab") (it is on every plan), and stop.
Steps
- Get the rule. Ask for, or confirm: target %, stop %, horizon
(
same_dayor3d), and optionally a delta band and a date range. For a trailing stop, gettrail_pctandactivation_pct. - Start from the two exact labels. Call
query_outcomes(view="summary", horizon="same_day")(+40% / -30%, flat by 15:45 ET) andquery_outcomes(view="summary", horizon="3d")(+80% / -60%, 3 trading days). These are the only exactly simulated brackets, with real fills and slippage. They are the reference points. - Touch probabilities. Call
query_outcomes(view="harvest", targets=[...], stops=[...])with the user's levels. Report the probability of touching each level, with its confidence interval, and which day the peak landed on. - The surface. Call
query_outcomes(view="surface", aggregate_only=True, days=<N>)for MFE and MAE quantiles over the same period. - Score the rule. Call
query_outcomes(view="exit_rule", rule="bracket", target_pct=<T>, stop_pct=<S>), orrule="trailing"withtrail_pctandactivation_pct. Its default window is 3 trading days. Reportev_bounds, not one EV number, and reportheuristic_share. - Slice, then check stability. If the user wants more, repeat steps 3 to 5
inside a feature slice (for example a delta band with
delta_minanddelta_max) and across two or more date ranges. Trust a result only if it holds in each range.
How to report
For every number, give its horizon, its row count (N), and its date range. Then give these caveats:
- Never mix horizons. Same-day and 3-day numbers can point in opposite directions. Compare a rule only with numbers from the same horizon.
- Touches are not fills. A touch is a bar high or low. Surface and exit-rule estimates apply no slippage. Real stop fills land past the stop level, and more so on thin contracts. Expect real results below the estimate.
- Heuristic rows. When both levels were crossed inside the window, the
order is estimated. If
heuristic_shareis large, say that the score is uncertain. - Excluded rows. Rows with no label (illiquid at the entry anchor) are
excluded, and that group is not random. Quote the exclusion counts from the
response
meta. - History is not a promise. A score on history is a research result for that rule on past contracts, not an expected return for the next trade.
- Paper-traded research data. Educational only. Not investment 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.
- 1mo ago First seen · 61 lines · 95 tokens per session scan A 6d415ab568b6
gammarips-exit-lab is a skill published in the GitHub repository DevDizzle/gammarips-mcp (0 stars, last pushed 1mo ago), licensed MIT. It adds 95 tokens to every session and 855 once invoked, about $0.0004 per session on Opus 5.5. 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 2026-10-03.
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|---|---|---|---|---|---|---|---|
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