agentdb-advanced
Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems…
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.
$ npx -y skills add ruvnet/claude-flow --skill cost-health --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/cost-healthContext preview
The summary Claude sees to decide when to auto-load this skill.
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.
name: cost-health description: 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. argument-hint: "[--alert-acceleration 100] [--alert-outliers 1] [--alert-days-to-exhaust 14] [--skip burn,anomaly] [--format table|json]" allowed-tools: Bash
The four CI-gate skills (budget / burn / anomaly / projection) each answer a different question. This skill composes them — runs all four IN PARALLEL, returns `max(exit_codes)`, prints a one-line summary per check.
| Subcheck | Question | Default threshold | |---|---|---| | `budget` | "Have we crossed the configured budget?" | HARD_STOP at 100% | | `burn` | "Is daily burn accelerating?" | +100% vs prior-week mean | | `anomaly` | "Is any specific session a >3.5σ outlier?" | ≥1 outlier | | `projection` | "When will we hit 100% of budget?" | <14 days |
Implementation: [`scripts/health.mjs`](../../scripts/health.mjs).
1. Spawn all four subcheck scripts in parallel (`Promise.all` over `child_process.spawn`). 2. Each subcheck emits `--format json`; parse and capture exit code. 3. Projection has no built-in exit code — synthesize one from `daysUntilReached[100%] < --alert-days-to-exhaust`. 4. Final exit code = `max(subcheck exits)`. Any single failure fails the gate. 5. Print one-line summary per check + overall HEALTHY/UNHEALTHY badge.
- name: Cost health gate run: cost health --alert-acceleration 100 --alert-outliers 1
A single step covers four alert ladders. Before this skill you'd wire four separate gates that each duplicated the npx + memory-list overhead; now it's one shell-out (and the four subcheck npx calls run in parallel internally).
# Quarterly review — stricter thresholds cost health --alert-acceleration 50 --alert-outliers 1 --alert-days-to-exhaust 30 # Production drift gate — only fire on egregious changes cost health --alert-acceleration 200 --alert-outliers 3 --alert-days-to-exhaust 7 # Skip the slow burn check during a smoke run cost health --skip burn
# Healthy Overall: ✓ HEALTHY (max exit code 0) | Check | Status | Detail | | budget | ✓ | unknown — no budget configured | | burn | ✓ | delta within ±100% | | anomaly | ✓ | 0 outliers — under threshold ≥1 | | projection | ✓ | no budget configured — skipping | # After adding $5 outlier (vs $0.10 baseline) Overall: ⚠ UNHEALTHY (max exit code 1) | burn | ⚠ | ALERT 5163.2% acceleration: latest bucket $5.00 is 5163.2% above prior mean $0.095 | | anomaly | ⚠ | ALERT 1 outlier (|z|>3.5) |
cost health --skip burn,projection # only budget + anomaly
Useful when:
| Exit | Meaning | |---|---| | 0 | All subchecks OK | | 1 | At least one subcheck fired an alert (budget HARD_STOP, burn drift, anomaly outlier, projection imminent-exhaust) | | 2 | A subcheck had a config/usage error (e.g. invalid CLI args propagated to a subscript) | | 127 | A subcheck failed to launch (script missing, etc.) |
`max()` means the worst signal wins — exit 2 (config error) always dominates exit 1 (alert), so you spot misconfigured pipelines before they masquerade as healthy.
An agent meta-harness for Claude Code and Codex. 📖 RuFlo Explained — Build an AI Team That Plans, Remembers, Tests, and Improves A 14-chapter guide: from the basic idea to a first useful task, then memory, agent teams, plugins, cost and verification.
Repo: ruvnet/claude-flow
Master advanced AgentDB features including QUIC synchronization, multi-database management, custom distance metrics, hybrid search, and distributed systems…
Create and train AI learning plugins with AgentDB's 9 reinforcement learning algorithms. Includes Decision Transformer, Q-Learning, SARSA, Actor-Critic, and…
Implement persistent memory patterns for AI agents using AgentDB. Includes session memory, long-term storage, pattern learning, and context management. Use…
Optimize AgentDB performance with quantization (4-32x memory reduction), HNSW indexing (150x faster search), caching, and batch operations. Use when optimizing…
Implement semantic vector search with AgentDB for intelligent document retrieval, similarity matching, and context-aware querying. Use when building RAG…
Quantum-resistant, self-learning version control for AI agents with ReasoningBank intelligence and multi-agent coordination