Run health checks on the Ruflo installation and fix common issues
日本語の概要は準備中です。原文の説明を表示しています。
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概要と使いどころ
Run health checks on the Ruflo installation and fix common issues
日本語の概要は準備中です。原文の説明を表示しています。
Plans and creates an AI team for a goal, with roles, a run that carries a unit budget, and bounded tasks. Use when the user asks to start, set up or staff a team, or to split a larger goal across roles. Records coordination state only; nothing is executed.
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Export cost-tracking telemetry in Prometheus textfile or webhook JSON formats — for external observability (Grafana, Datadog, custom dashboards)
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Pauses, resumes, or completes an AI team, or marks a run complete, while keeping its evidence. Use when the user asks to pause, stop, resume, wrap up, or close a team or run. Changes coordination state only and deletes nothing.
日本語の概要は準備中です。原文の説明を表示しています。
Diagnose Ruflo health, then report system, MCP server, and active-agent status without changing the installation
日本語の概要は準備中です。原文の説明を表示しています。
Reports an AI team's progress, blockers, task ownership, and recorded budget. Use when the user asks for status, what is blocked, who owns what, or how much of the budget is recorded as used. Read-only.
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Stores approved context for one AI team and searches it later, with provenance. Use when the user asks to remember a decision, constraint, or fact for the team, or to recall what the team already knows. Memory is separate for each team and tenant.
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Consumer-side wiring for ADR-097 Phase 3 federation_spend events — per-peer rolling windows + suspension-threshold check
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Sign, verify, and track fix-marker regressions over time using a deterministic Ed25519 witness manifest. Works in any project — clone the toolkit, run init, register fixes, regen on each release.
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Composite CI gate — runs cost-budget-check + cost-burn + cost-anomaly + cost-projection in parallel and surfaces a single combined health status with max exit code. The operationally-useful entry point — one shell-out covers all four alert ladders.
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One cost view across Claude Code, Codex and Grok on this machine — spend, tokens, cache hit ratio per provider and model, with unpriced models flagged. Use when asked "what did I spend", "how much did Codex cost", or to compare providers. Local logs only, nothing is sent.
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Optimisation findings from your own Claude Code and Codex logs — low cache hit ratio, 1-hour cache writes that did not pay back, sub-agents on a top-tier model, Codex reasoning share, bloated sessions — each with evidence and a what-if saving. Use when asked how to cut spend or why it is high.
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MAD-based outlier detection on session spend. Robust to the very outliers it hunts (unlike mean+sigma). Surfaces specific anomalous sessions with modified-z scores; optional --alert-on-outliers exit code for CI gates. Distinct from cost-burn (aggregate trend) — this answers "which INDIVIDUAL session is the outlier?".
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Checks an AI team run against its acceptance criteria using the evidence bundle. Use when the user asks whether the work is done or correct, or before completing a run. Separates verified evidence from agent claims.
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Detect and flag personally identifiable information (PII) in text, code, and configurations. Use before committing code, writing logs, storing data, or sending model responses that might contain emails, phone numbers, SSNs, API keys, or passwords.
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Cost per million tokens on hardware you own (Ollama, llama.cpp, vLLM, LM Studio) from watts, electricity price, hardware price and measured tokens/second, and the utilisation at which local beats a hosted model. Use for local-vs-API break-even questions.
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Scan inputs for prompt injection, unsafe content, and adversarial attacks using AIDefence. Use when processing untrusted input (user submissions, API payloads, webhook data, tool outputs) before passing it to a model or executing it.
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Run the corpus benchmark — booster locally, optional Gemini/Sonnet/Opus baselines — and persist a verifiable measured-vs-claimed table
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Run an autonomous /loop iteration -- check progress, work on next task, schedule next wake
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Use learned patterns and current state to predict the optimal next action
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Apply a simple code transform via agent-booster's WASM engine — sub-millisecond, deterministic, $0 (no LLM call). Companion to cost-booster-route.
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Route tasks through hooks_route, partition by Agent Booster availability, and report Tier 1 bypass utilization with $0 cost
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Join and operate a signed cross-host agentbbs federation, and coordinate work claims across nodes. Use when: connecting ruflo agents across machines, sharing status/tasks/results between hosts, propagating work claims across a swarm, or standing up a federation hub. Skip when: single-host local work with no other nodes to coordinate with.
日本語の概要は準備中です。原文の説明を表示しています。
OpenRouter real spend — key limit and usage today/week/month, one request's billed cost by generation id, account credits. Use when asked what OpenRouter charged or whether a key is near its limit. Network and API key: asks first.
日本語の概要は準備中です。原文の説明を表示しています。