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/rowbradley/searchwave/deepwavenpx skills add rowbradley/searchwave --skill deepwavegit clone --depth 1 https://github.com/rowbradley/searchwaveWhat 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 | $0.00034 | $0.04087 |
| Opus 5 | $0.00017 | $0.02044 |
| Sonnet 5 | $0.00007 | $0.00817 |
| Haiku 4.5 | $0.00003 | $0.00409 |
Grade A, and why
deepwave 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.
How it starts
The opening of the file, as written. The whole thing — 551 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Searchwave Deep
Deep web research with Opus synthesis — Quick (~70s) / Standard (~90s) / Max (~5-10min).
Overview
Three-tier research system with user-selected depth. All tiers use Opus (model default) for synthesis. Max mode adds multi-agent research with quality evaluation and follow-up loop.
Token-efficient alternative: Install searchwave-sonnet from the
marketplace for Sonnet synthesis variants with the same research architecture.
When to Use
Use /deepwave when:
- User wants to select research depth
- Complex topics requiring multiple angles
- Need confidence assessment and source evaluation
- "Deep research" or "comprehensive" requests
Use /wave instead when:
- Quick lookup, no questions needed
- Simple factual questions
- Time-sensitive (< 60 sec)
Use /searchwave-sonnet:deepwave instead when:
- Token efficiency is a priority
- Sonnet synthesis quality is sufficient
Phase 1: QA (~15 sec)
Use ONE AskUserQuestion call with 3-4 questions:
Question 1 (only if needed): Clarification Include if query has ambiguity OR broad scope needing focus.
Disambiguation (different meanings):
- "Python" → programming language or snake?
- "Mercury" → planet, element, or band?
Scope (same meaning, what to cover):
- "home espresso" → machines? grinders? technique? beans? full setup?
- "AI in gaming" → NPC behavior? dev tools? procedural generation?
Skip for focused queries:
- "Python web frameworks" → clearly programming, clear scope
- "Gaggia Classic Pro review" → specific enough
Question 2: Depth selection Always include:
"How deep should we go?"
- Quick (~1 min) — key facts, fast turnaround
- Standard (~2 min) — comprehensive research report
- Max (~5-10 min) — highest quality, multi-agent research, follow-up loop
Question 3: Length preference Always include. Show options based on tier:
"Preferred length?"
Quick tier options: 500 / 800 / 1200 words
Standard tier options: 800 / 1200 / 1500 words
Max tier options: 800 / 1200 / 1500+ words (1500+ means Opus may extend to ~2500 if valuable)
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 · 551 lines · 34 tokens per session scan A 4262b23f1240
deepwave is a skill published in the GitHub repository rowbradley/searchwave (5 stars, last pushed 6mo ago), licensed MIT. It adds 34 tokens to every session and 4,087 once invoked, about $0.0002 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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