一键导入
are-dashboard
Show telemetry dashboard (costs, tokens, traces) (experimental)
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。
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Show telemetry dashboard (costs, tokens, traces) (experimental)
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
Show available ARE commands and usage guide
Execute implementation with and without ARE documentation (experimental)
Compare AI planning quality with and without ARE documentation (experimental)
Reconstruct project from specification documents (experimental)
Generate project specification from AGENTS.md docs (experimental)
Delete all generated documentation artifacts (.sum, AGENTS.md, plan)
| name | are-dashboard |
| description | Show telemetry dashboard (costs, tokens, traces) (experimental) |
| disable-model-invocation | true |
Show the ARE telemetry dashboard with cost analysis, token usage, and trace timelines.
## STRICT RULES - VIOLATION IS FORBIDDENnpx agents-reverse-engineer@$VERSION dashboard $ARGUMENTS/are-dashboard, run with ZERO flagsRead version: Read .claude/ARE-VERSION → store as $VERSION. Show the user: agents-reverse-engineer v$VERSION
Run the dashboard command:
npx agents-reverse-engineer@$VERSION dashboard $ARGUMENTS
Present the output to the user. The dashboard has several modes:
--run <id>: Drill-down into a specific run showing per-entry details (latency, tokens, cost per file)--trace <id>: ASCII Gantt timeline showing concurrent phase execution and worker utilization--trends: Cost and usage trends across all runs (daily aggregation, cache savings, error rates)--format html: Generate a self-contained HTML report with Chart.js visualizations — pipe to a file: npx agents-reverse-engineer dashboard --format html > report.html--format json: Output raw run log data as JSONIf no runs found, suggest the user run /are-generate or /are-update first to create telemetry data.
Options:
--run <id>: Show per-entry detail for a specific run (partial timestamp match)--trace <id>: Show ASCII timeline from a trace file (partial timestamp match)--trends: Show cost & usage trends across all runs--format html: Generate self-contained HTML report with charts--format json: Output raw data as JSON