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 MangroveTechnologies/mangrove-agent --skill sweepgit clone --depth 1 https://github.com/MangroveTechnologies/mangrove-agentWrote 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/mangrovetechnologies/mangrove-agent/sweep)<a href="https://agentmods.dev/skills/mangrovetechnologies/mangrove-agent/sweep"><img src="https://agentmods.dev/badge/skills/mangrovetechnologies/mangrove-agent/sweep.svg" alt="Measured on agentmods" 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 | $0.00195 | $0.04297 |
| Opus 5 | $0.00097 | $0.02148 |
| Sonnet 5 | $0.00039 | $0.00859 |
| Haiku 4.5 | $0.00019 | $0.00430 |
Grade A, and why
sweep 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 8d 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 — 337 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Sweep Skill
This skill exists because finding a good strategy is a search problem,
not a single guess. /backtest answers "is THIS config good?" A sweep
answers "across this whole parameter space, which config is best?" — you
give it a strategy template plus a parameter space, and the engine
generates its own candidates (grid enumeration or random/Monte-Carlo
sampling), backtests each against one or more datasets, and ranks the
results. You author the search space once and let the engine explore it.
A sweep is NOT "screen a list then run the survivors." It generates
the candidates itself from the parameter space — you never hand it a
pre-made list of strategies. (That different workflow — score a fixed
shortlist with SIEVE, then backtest the keepers — is /sieve →
/backtest//backtest/bulk. See "How this differs from /sieve" below.)
The lifecycle is intentionally explicit — validate before launch, separate from create — so you (and Oracle) can confirm the config and its run-count before paying for the fan-out:
create ──▶ [update]* ──▶ validate ──▶ launch ──▶ (running) ──▶ completed
draft draft validated launched │
├─▶ pause ─▶ relaunch
└─▶ delete (cancels children)
Trigger
Activate when the user:
- Wants to search a parameter range ("sweep RSI window 7→21", "try entry-window 8 to 20 and exit-window 20 to 40")
- Wants the best of many variations, ranked ("try every MACD config on BTC 1h and tell me the best", "compare these across timeframes")
- Says "run an experiment" / "do a sweep" / "hyperparameter search" / "Monte-Carlo search over the params"
Do NOT activate for:
- A single known config the user wants evaluated →
/backtest - Screening/ranking a FIXED set of candidate strategies they already
have, without a parameter search →
/sieve(then/backtest//backtest/bulk). That is a separate workflow, not a pre-step to this one. - Authoring a single strategy from a loose goal →
/create-strategy
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.
- 8d ago First seen · 337 lines · 195 tokens per session scan A ca6f9c852507
sweep is a skill published in the GitHub repository MangroveTechnologies/mangrove-agent (5 stars, last pushed 1mo ago), licensed MIT. It adds 195 tokens to every session and 4,297 once invoked, about $0.0010 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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