菜单
DEPRECATED — merged into usage-tracking as role-analysis sub-command (Wave 3, m3-skills-deprecation, 2026-06-14). Use usage-tracking/scripts/role_analysis.py instead.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Experiment orchestration framework with traffic allocation, statistical analysis, and early stopping detection. Use to test routing changes, model upgrades, and role assignments with Welch's t-test significance testing.
DEPRECATED — This skill is no longer maintained. Prometheus and Grafana infrastructure was never implemented. Use local JSON metrics analysis instead.
Scaffolds new SPEC-compliant agentic-engineers agents with a single call. Generates SKILL.md frontmatter, test scaffolds (TDD RED-phase), __init__.py, scripts/ layout, and DELEGATE/HANDBACK protocol templates. Use when creating any new automation agent, task handler, or operational tool. Validates role, model, effort, naming, and dependency graphs (circular dep detection) before writing files. Supports dry-run mode for planning without side effects.
Routine maintenance for Codex sessions: monitor queue state, close completed sub-agents, resume or escalate active work, and keep agent capacity available.
Automated cross-validation of protocol queue integrity. Scans all DELEGATEs/HANDBACKs, validates schema compliance, detects cycles, checks rate limits, generates compliance report. Enables self-referential protocol improvements.
Consolidates provider-specific AI costs into unified metrics across Anthropic, OpenAI, Google Gemini, GitHub Copilot, and Ollama. Enables apples-to-apples cost comparison and savings analysis.
| name | tokenadvisor |
| description | DEPRECATED — merged into usage-tracking as role-analysis sub-command (Wave 3, m3-skills-deprecation, 2026-06-14). Use usage-tracking/scripts/role_analysis.py instead. |
| license | Proprietary |
| compatibility | Designed for agentic-engineers framework |
| metadata | {"author":"agentic-engineers","version":"1.0","category":"monitoring","role":"orchestrator","model":"haiku-4-5","schedule":"0 17 * * *","status":"DEPRECATED","deprecated_by":"usage-tracking","deprecated_at":"2026-06-14","migration":"Use: src/skills/usage-tracking/scripts/role_analysis.py"} |
DEPRECATED: Merged into
usage-trackingasscripts/role_analysis.py. Useusage-trackingskill directly for role-based cost analysis.
TokenAdvisor analyzes daily metrics across all AI agents and roles to identify inefficiencies, cost overages, and performance issues.
What it does:
python scripts/tokenadvisor.py --daily
python scripts/tokenadvisor.py --daily --date 2026-04-24
Daily at 17:00 UTC via orchestration/config/tokenadvisor.cron
0 17 * * * cd <project-root> && python agentic-engineers/skills/tokenadvisor/scripts/tokenadvisor.py --daily
agentic-engineers/data/metrics/YYYY-MM-DD/agentic-engineers/config/MODEL_ASSIGNMENTS_LOCKED.mdagentic-engineers/data/logs/tokenadvisor-YYYY-MM-DD.logFeeds to: Model Engineer (15 min later)
Dashboard: Token Burn (Grafana)
Recommendations from TokenAdvisor become input for Model Engineer, which proposes A/B tests and routing changes.
tokenadvisor.py — Main analysis agent (Haiku 4.5)daily-email-summary.sh — Optional 24h activity report