agent-pulse
Nutze Agent Pulse, um lokale KI-Agent-Aktivitäten in Hermes-, Claude-Code-, Codex-, DeepSeek-, OpenClaw-, Copilot-, Aider-, Qwen-, OpenCode-, Goose-, Cursor-, Antigravity- und Amp-Protokollen zu überprüfen. Verwende es, wenn der Benutzer nach KI-Agent-Sitzungen, Tokens, Tool-/Suchaufrufen, Modellnutzung, geschätzten Kosten, Budgets, Prognosen, Gesundheitschecks, Berichten, Setup-Diagnose, Web-/API-/Metrik-Exporten oder MCP-Integration fragt.
npx skills add https://github.com/jane-o-o-o-o/agent-pulse-skills --skill agent-pulseAgent Pulse
Purpose
Use the installed agent-pulse CLI as the source of truth for local AI-agent activity. The PyPI package is agentpulse-cli, while the command remains agent-pulse. Prefer running commands and summarizing their output over reading the Agent Pulse source code.
Always enable UTF-8 on Windows before running commands because Agent Pulse output contains emoji and box drawing:
$env:PYTHONUTF8='1'
$env:PYTHONIOENCODING='utf-8'
If agent-pulse is not on PATH, ask before installing dependencies. If the user approves, install the PyPI package or try running from a local project checkout:
pip install agentpulse-cli
python -m agent_pulse.cli --version
Source Keys
Use -P/--platform when the user asks about one agent tool instead of all local data:
hermes, claude, codex, deepseek, openclaw, copilot, aider, qwen,
opencode, goose, cursor, antigravity, amp
Choose Commands
Use this command selection table first:
| User wants | Run |
|---|---|
| Current status | agent-pulse status --json |
| Full dashboard | agent-pulse --json or agent-pulse --no-banner |
| Demo data | agent-pulse demo --json |
| Setup diagnosis | agent-pulse doctor --json |
| Recent sessions | agent-pulse --json --hours 24 --limit 20 |
| Top sessions | agent-pulse top --sort tokens --json |
| Top expensive sessions | agent-pulse top --sort cost --json --hours 168 |
| Model cost analysis | agent-pulse models --json |
| Model ranking | agent-pulse leaderboard --json --rank-by efficiency |
| Cost savings | agent-pulse optimize --json |
| Budget status | agent-pulse budget --json |
| Cost forecast | agent-pulse forecast --json |
| Cost anomaly check | agent-pulse anomaly --json |
| Health/CI check | agent-pulse health --json |
| Composite score | agent-pulse score --json |
| Search sessions | agent-pulse search "<query>" --json |
| Compare periods | agent-pulse compare --json |
| Compare projects | agent-pulse compare-projects --json |
| Activity calendar | agent-pulse heatmap --json |
| Smart recommendations | agent-pulse insights --json |
| Prometheus metrics | agent-pulse metrics --format prometheus |
| Export report | agent-pulse export -f markdown or agent-pulse export-html |
| Web dashboard | agent-pulse web --port 8765 |
| REST API | agent-pulse api --port 8766 |
| MCP tools | agent-pulse mcp --list-tools |
If the installed command lacks an option, run agent-pulse <command> --help and adapt.
Workflow
- Start with
agent-pulse doctor --jsononly when the user asks why data is missing, asks for setup help, or a normal data command returns no sessions. - Use JSON output whenever possible. Summarize the fields that matter: sessions, tokens, tools, search calls, model breakdown, source breakdown, estimated cost, warnings.
- Use time filters for scoped questions. Default to 24 hours for "recent" and 168 hours for "this week":
agent-pulse status --json --hours 24
agent-pulse --json --hours 168 --limit 50
- Use platform filters when the user asks about a specific agent system:
agent-pulse --json -P codex --hours 24
agent-pulse --json -P claude --hours 24
agent-pulse top --json -P aider --sort cost
agent-pulse status --json -P cursor
- For cost questions, pair summary, model, and top-session views:
agent-pulse status --json --hours 24
agent-pulse models --json --hours 24
agent-pulse top --sort cost --json --hours 24
agent-pulse optimize --json --hours 168
- For trend and risk questions, use forecast/history/compare/anomaly:
agent-pulse forecast --json
agent-pulse history --json
agent-pulse compare --json
agent-pulse anomaly --json
- For setup, use the discovery commands before guessing paths:
agent-pulse doctor --json
agent-pulse scan --json --details
agent-pulse config show
Interpreting Results
- Treat
total_cost_usdas an estimate based on Agent Pulse's local model pricing table. - Report both cost and token volume; low-cost models can still have very high token usage.
- Distinguish sources such as
codex,claude,hermes,deepseek,openclaw,aider,cursor,opencode, andgoose. - Mention if
doctorreports missing optional sources, missingdev_root, or optional web dependencies. - If no sessions appear, check
doctor, then try a wider time window such as--hours 168. - Check whether the user asked for a source (
-P) filter, a model filter, or a project comparison before giving overall totals. - If a command emits plain text instead of JSON or fails because an installed version is older, run
agent-pulse <command> --helpand use the closest supported option.
Reports
For a short human-readable answer, run JSON commands and summarize.
For artifacts, prefer:
agent-pulse report --period daily
agent-pulse export -f markdown
agent-pulse export-html
Do not invent exact savings or costs. Use the CLI output.
Integrations
Use the web and API extras only when the user asks for a browser dashboard or programmatic server. Ask before installing missing extras:
pip install "agentpulse-cli[web]"
agent-pulse web --port 8765
agent-pulse api --port 8766
For monitoring pipelines:
agent-pulse metrics --format prometheus
agent-pulse health --cost-limit 100 --token-limit 1000000 --json
MCP
Use MCP mode when the user wants other AI clients to query Agent Pulse:
agent-pulse mcp --list-tools
agent-pulse mcp
When explaining MCP, mention that it exposes tools such as status, forecast, top sessions, model analytics, optimization, health, search, and leaderboard.
Local Helper
This skill includes scripts/run_agent_pulse_snapshot.py, which runs a compact set of JSON-friendly Agent Pulse checks and prints a combined summary:
python scripts/run_agent_pulse_snapshot.py --hours 24 --days 7