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.
git clone --depth 1 https://github.com/ruvnet/sublinear-time-solverWrote 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/commands/ruvnet/sublinear-time-solver/token-efficiency)<a href="https://agentmods.dev/commands/ruvnet/sublinear-time-solver/token-efficiency"><img src="https://agentmods.dev/badge/commands/ruvnet/sublinear-time-solver/token-efficiency/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/commands/ruvnet/sublinear-time-solver/token-efficiency"><img src="https://agentmods.dev/badge/commands/ruvnet/sublinear-time-solver/token-efficiency.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 | $0.00000 | $0.00247 |
| Opus 5.5 | $0.00000 | $0.00099 |
| Sonnet 5.5 | $0.00000 | $0.00049 |
| Haiku 4.5 | $0.00000 | $0.00025 |
Grade A, and why
token-efficiency 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.
This is a copy
100% identical to token-efficiency — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
Token Usage Optimization
Purpose
Reduce token consumption while maintaining quality through intelligent coordination.
Optimization Strategies
1. Smart Caching
- Search results cached for 5 minutes
- File content cached during session
- Pattern recognition reduces redundant searches
2. Efficient Coordination
- Agents share context automatically
- Avoid duplicate file reads
- Batch related operations
3. Measurement & Tracking
# Check token savings after session
Tool: mcp__claude-flow__token_usage
Parameters: {"operation": "session", "timeframe": "24h"}
# Result shows:
{
"metrics": {
"tokensSaved": 15420,
"operations": 45,
"efficiency": "343 tokens/operation"
}
}
Best Practices
- Use Task tool for complex searches
- Enable caching in pre-search hooks
- Batch operations when possible
- Review session summaries for insights
Token Reduction Results
- 📉 32.3% average token reduction
- 🎯 More focused operations
- 🔄 Intelligent result reuse
- 📊 Cumulative improvements
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 · 45 lines · 0 tokens per session scan A ecb6c03b491c
token-efficiency is a command published in the GitHub repository ruvnet/sublinear-time-solver (91 stars, last pushed 7d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 247 tokens. A static security scan graded it A with 0 findings. It is 100% identical to token-efficiency, differing in 0 lines, and is treated as a copy.
Other commands, from other repositories
data-mesh-contract
Create federated data product contracts for mesh architectures with SLAs, governance, and interoperability guarantees (project).
fr-rgpd
You are helping an enterprise architect generate a French CNIL Compliance Assessment — the French-specific GDPR layer applied by the CNIL (Commission Nationale de l'Informatique et des Libertés). Run this after /arckit-eu:eu-rgpd to add French obligations that go beyond the EU GDPR baseline.
servicenow
Create comprehensive ServiceNow service design with CMDB, SLAs, incident management, and change control.
gsd:docs-update
Generate or update project documentation verified against the codebase.
gsd:settings
Configure GSD workflow toggles and model profile.
checklist
Generate a custom checklist for the current feature based on user requirements.