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 custom-signalgit 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/custom-signal)<a href="https://agentmods.dev/skills/mangrovetechnologies/mangrove-agent/custom-signal"><img src="https://agentmods.dev/badge/skills/mangrovetechnologies/mangrove-agent/custom-signal/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/mangrovetechnologies/mangrove-agent/custom-signal"><img src="https://agentmods.dev/badge/skills/mangrovetechnologies/mangrove-agent/custom-signal.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 | $0.00121 | $0.01579 |
| Opus 5 | $0.00060 | $0.00790 |
| Sonnet 5 | $0.00024 | $0.00316 |
| Haiku 4.5 | $0.00012 | $0.00158 |
Grade A, and why
custom-signal 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 12d 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 — 114 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Build a Custom Signal Stack
Parse $ARGUMENTS as a natural-language description of the trading rule the user wants to express. Compose it out of atomic signals already in the Mangrove library — do NOT fabricate new signal logic.
This skill scopes narrower than /create-strategy — it builds just the entry / exit signal payload, not a whole strategy. Use it inside /create-strategy's Phase C when a reference doesn't match, or standalone when the user wants to iterate on signals in isolation before committing to a full strategy.
Flow
1. Enumerate what's available
Call list_signals() (MCP tool or REST /api/v1/agent/signals) to get the atomic catalog. Signals come back with:
name(e.g.rsi_cross_up,sma_cross_down,stoch_oversold)category(trend,momentum,oscillator,volume,volatility,pattern)signal_type(TRIGGERorFILTER)metadata.params(param names, types, min/max, descriptions)
Group the catalog by category in your head so the mapping step goes fast.
2. Map the user's rule to atomics
For each clause in the rule, find the closest atomic. Examples of good mappings:
| User says | Atomic mapping |
|---|---|
| "buy when RSI is low / oversold" | rsi_cross_up(window=14, threshold=30) as TRIGGER |
| "sell when RSI is high / overbought" | rsi_cross_down(window=14, threshold=70) as TRIGGER |
| "buy when price dips below the 10 MA" | sma_cross_down(window_fast=1, window_slow=10) as TRIGGER (SMA(1) = close price) |
| "buy when MACD crosses up" | macd_bullish_cross(12, 26, 9) as TRIGGER |
| "only trade when trend is strong" | adx_strong_trend(14, 25) as FILTER |
| "only trade when price is above the 50 MA" | is_above_sma(50) as FILTER |
| "confirm with stochastic oversold" | stoch_oversold(14, 3, 20) as FILTER |
Not every English phrase has a clean atomic mapping. If you can't map cleanly, say so explicitly — do not fabricate. Offer alternatives ("RSI-bounce is the closest atomic to 'bought dip', OK to use?").
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.
- 12d ago First seen · 114 lines · 121 tokens per session scan A 4178ad23a578
custom-signal is a skill published in the GitHub repository MangroveTechnologies/mangrove-agent (5 stars, last pushed 1mo ago), licensed MIT. It adds 121 tokens to every session and 1,579 once invoked, about $0.0006 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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