---
name: cost-booster-route-9f1c3592284a
description: Route tasks through hooks_route, partition by Agent Booster availability, and report Tier 1 bypass utilization with $0 cost
argument-hint: "[--from-recent] | <task-description>"
allowed-tools: mcp__claude-flow__hooks_route mcp__claude-flow__memory_search mcp__claude-flow__memory_list Bash
---

# Cost Booster Route

Wraps `mcp__claude-flow__hooks_route` and reports how many tasks the 3-tier router classified as Agent Booster (Tier 1) eligible. Tier 1 bypasses run as WASM transforms — no LLM call, structurally **$0** cost.

## When to use

Before a batch of similar tasks, or when `cost-report` shows Sonnet/Opus spend on descriptions that look like simple transforms (`var-to-const`, `add-types`, `add-error-handling`, `async-await`, `add-logging`, `remove-console`).

## Steps

1. **Collect tasks** — single arg or recent entries from `cost-tracking` via `memory_search`. Cap batch at 50.
2. **Route each** — call `hooks_route` with the description; capture the full response string.
3. **Partition** — group by whether the response contains the literal `[AGENT_BOOSTER_AVAILABLE]` (Tier 1) vs. not (Tier 2/3). Extract `[TASK_MODEL_RECOMMENDATION] Use model="X"` when present.
4. **Compute spend** — Tier 1 partition: $0. Tier 2/3 partition: per-task upper-bound from REFERENCE.md pricing × recommended model.
5. **Report**

   ```
   === Booster bypass report ===
   Tasks analyzed:        50
   Tier 1 (booster):      18 (36%)  — $0.00
   Tier 2/3 (LLM):        32 (64%)  — $X.XX (upper-bound)
   Booster intents:       var-to-const (8), add-types (5), remove-console (5)
   ```

6. **Persist** — `memory_store --namespace cost-tracking --key "booster-route-$(date +%Y%m%d-%H%M%S)" --value '{"tier1": N, "tier2_or_3": M, ...}'` so `cost-report` picks up the tier signal.

## Caveats — claimed upstream, not yet verified

- `[AGENT_BOOSTER_AVAILABLE]` fires only when the upstream router populates `routeResult.agentBoosterIntent.type` (`v3/@claude-flow/cli/src/mcp-tools/hooks-tools.ts:1228`). The published CLI's semantic-VectorDb path does not always trigger the classifier — treat the partition as a **lower bound** on Tier 1 eligibility.
- CLAUDE.md root claims `<1ms` latency and `352× faster` than LLM. `<1ms` and `$0` are structural; `352×` is **claimed upstream, not yet verified** here. Report what the router actually returns.
- See `docs/benchmarks/0002-baseline.md` for the full upstream-claims-vs-measured table.

## Cross-references

ADR-0002 Decision #1 · ruflo-intelligence ADR-0001 §"Neutral" (closes the routing-outcomes loop via `cost-optimize` step 8) · CLAUDE.md root §"3-Tier Model Routing (ADR-026)".


---
Source attribution: wodeh
Original project: https://github.com/wodeh/ruflo-kimi/blob/257ccb7e80a2619f8af236554ae6f0ca362abfa6/plugins/ruflo-cost-tracker/skills/cost-booster-route/SKILL.md
License: MIT
License information: https://opensource.org/license/mit
Original upstream instructions; downloaded from Mega AI Hub.

## Upstream license notice

MIT License

Copyright (c) 2024-2026 ruvnet

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.



# Mega AI Hub resource metadata

Creator / publisher: wodeh
Original project: https://github.com/wodeh/ruflo-kimi/blob/257ccb7e80a2619f8af236554ae6f0ca362abfa6/plugins/ruflo-cost-tracker/skills/cost-booster-route/SKILL.md
Attribution basis: Source repository record

Fields of work: Data & Analytics, Development & Engineering, Marketing
Roles: Data Analyst, Growth Marketer, ML / AI Engineer
Specialties: API
Tools: Bash, Mcp__Claude Flow__Hooks_Route, Mcp__Claude Flow__Memory_List, Mcp__Claude Flow__Memory_Search
Country applicability: Country not specified
Classification basis: Source catalog labels
Instruction SHA-256: 5b26c98dc40f735cbd38a6e6c5bea0a4cbac6613071223042900e28032bb1831