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are-dashboard
Show telemetry dashboard (costs, tokens, traces) (experimental)
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
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Show telemetry dashboard (costs, tokens, traces) (experimental)
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
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