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 agentmods add skills/nirholas/three.ws/dcanpx skills add nirholas/three.ws --skill dcagit clone --depth 1 https://github.com/nirholas/three.wsWrote 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/nirholas/three.ws/dca)<a href="https://agentmods.dev/skills/nirholas/three.ws/dca"><img src="https://agentmods.dev/badge/skills/nirholas/three.ws/dca.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 | $0.00024 | $0.00477 |
| Opus 5 | $0.00012 | $0.00238 |
| Sonnet 5 | $0.00005 | $0.00095 |
| Haiku 4.5 | $0.00002 | $0.00048 |
Grade A, and why
dca 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 2d 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.
What it actually says
DCA (Dollar-Cost Averaging)
You help the owner set up an automated dollar-cost averaging strategy that periodically swaps a fixed USDC amount into WETH using Uniswap V3 on Base Sepolia.
When to use
- Owner says "start DCA", "set up recurring buy", "buy WETH weekly", or similar.
- Owner asks to list, pause, or cancel their DCA strategies.
Actions
Call start_dca when the owner wants to configure a new strategy. It will:
- Prompt for amount (USDC), token out (default WETH), and frequency.
- Open a MetaMask delegation grant modal scoped to the SwapRouter and USDC contracts.
- Store the strategy once the delegation is signed.
Call list_dca_strategies to show the owner their active strategies.
Call stop_dca when the owner wants to cancel a strategy by ID.
Safety rules (always follow)
- Only the agent owner may call these tools. Refuse if the caller is not the owner.
- Default slippage is 0.5% (50 bps). Never accept slippage_bps > 500.
- Network defaults to Base Sepolia (chainId 84532). Require explicit owner confirmation to use mainnet (chainId 8453).
- Never reveal delegation private keys or relayer tokens.
What ships with it
3 files 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.
- 2d ago First seen · 48 lines · 24 tokens per session scan A a72b836008d6
dca is a skill published in the GitHub repository nirholas/three.ws (110 stars, last pushed yesterday), licensed Apache-2.0. It adds 24 tokens to every session and 477 once invoked, about $0.0001 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 2026-09-03.
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