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session-janitor会话管理员

Agent Skill

session-janitor 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

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OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:session-janitor(会话管理员)
来源仓库:https://github.com/halfdeadcat/session-janitor
安装命令:
openclaw skills install session-janitor
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install session-janitor

简介

会话管理员用于自动修剪转录文本并提取 LLM 结构化记忆。

  • 适合防止抄本膨胀,提升长期会话的信息密度。
  • 可集成到 OpenClaw 网关,实现端到端的会话健康管理。
  • 使用前请确认日志读取权限,避免因访问受限导致功能失效。
  • session-janitor 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

name
janitor
description
Automated transcript trimming, LLM memory extraction, and session hygiene for OpenClaw gateways. Keeps transcripts from bloating, extracts structured memories before archiving, and prunes stale sessions.
metadata
{"openclaw": {"requires": {"bins": ["python3", "jq"]}}}

Session Janitor

Automated transcript and session hygiene for OpenClaw gateways.

What It Does

  • Sidecar offloader — extracts large tool outputs (≥5KB) to .toolcache/ files, replacing inline content with lightweight stubs. Runs before trim on every turn.
  • Trims oversized transcripts — keeps recent exchanges + synthetic compaction summary, archives the rest
  • LLM memory extraction — uses the gateway's chat completions API to extract structured memories (facts, decisions, lessons) from trimmed content before discarding
  • Prunes stale sessions — removes old subagent/cron session entries from sessions.json
  • Archives orphan transcripts — files with no active session after a grace period
  • Cleans old archives — removes pre-trim, reset, and checkpoint files after retention period
  • Cleans orphaned checkpoints — removes *.checkpoint.*.jsonl files left behind by auto-compaction once the parent session no longer has an active transcript

Setup

bash skills/session-janitor/scripts/setup.sh

Setup auto-discovers all gateway installations (~/.openclaw/, ~/.openclaw-*/), generates config.json, installs a cron job, and installs the watcher service (systemd on Linux, launchd on macOS).

macOS Prerequisites

Install fswatch for the per-turn watcher:

brew install fswatch

The cron-based janitor works without it (trimming every 15 min instead of within ~3s of each turn).

For architecture details, trimming mechanics, and token math, see ARCHITECTURE.md.

Configuration

Edit config.json after setup to tune thresholds:

KeyDefaultDescription
trimMaxKB250Trim transcripts larger than this. Trim always fires when exceeded — there is no minimum pair count.
keepPairs10Number of recent user/assistant pairs to keep after trim. If fewer pairs exist than this, all are kept (no skip).
keepFullPairs2Most recent N assistant turns that keep full toolResult bodies (older turns are collapsed to summary lines)
minArchivePairs5Informational only — no longer blocks trim. Sessions exceeding trimMaxKB are always trimmed.
trimFullThresholdPct50Two-stage aggressive reduction when trimmed output still exceeds this % of trimMaxKB: (1) strip all assistant turns (tool args + thinking removed); (2) if still over threshold, drop all toolResult entries entirely. Set to 100 to disable.
archiveRetentionDays7Delete old archives after this many days (applies to .reset.*, .deleted.*, .pre-trim.*, .bak-*, .purged.*, .emergency-*)
keepPreTrimFiles3Max .pre-trim.* files to keep per session (oldest deleted immediately, regardless of retention period)
orphanGraceMinutes30Wait before archiving orphan transcripts
staleSubagentHours24Prune subagent session entries older than this
staleCronSessionHours24Prune cron session entries older than this
llmExtraction.enabledtrueUse LLM to extract memories from trimmed content
llmExtraction.modelopenclawModel identifier to use for extraction calls
llmExtraction.maxInputChars20000Max characters of archived content sent to LLM
llmExtraction.timeoutSecs60LLM API call timeout in seconds
llmExtraction.maxMemories15Max memories to accept from a single LLM extraction
llmExtraction.minArchived3Minimum archived messages required before running LLM extraction
llmExtraction.maxPerRun1Max LLM extractions per cron cycle (cost control)
memCli.enabledfalseStore extracted memories via mem CLI (requires mem)
cronSchedule*/15 * * * *How often to run
sidecar.enabledtrueOffload large toolResult entries to .toolcache/ files
sidecar.minEntryBytes5120Minimum toolResult content size (bytes) to trigger offload
watchdog.enabledfalseRun hung-session detector after each janitor pass
watchdog.staleMinutes5Session updatedAt age threshold to consider stuck
watchdog.alertSlacktrueSend Slack DM when a stuck session is detected
watchdog.slackTargetSlack user ID or channel to notify
watchdog.autoRestartfalseAuto-trigger safe-restart script on detection (use with caution)
watchdog.restartScriptSlack~/bin/safe-slack-restart.shSafe restart script path for Slack gateway
watchdog.restartScriptDiscord~/bin/safe-gateway-restart.shSafe restart script path for Discord gateway

Gateway Discovery

Setup scans for ~/.openclaw/openclaw.json and ~/.openclaw-*/openclaw.json. Each discovered gateway gets its own entry in config.json with:

  • Port (from gateway.port in config)
  • Auth token (from gateway.auth.token)
  • Sessions directory path

Works with single-gateway installs, multi-gateway (Discord + Slack), or any custom layout.

LLM Extraction Guardrails

  • Lockfile — only one extraction at a time across all gateways
  • Max per run — configurable cap per cron cycle (default: 1)
  • 20K char input cap — truncates middle of very long conversations
  • 60s hard timeout — SIGALRM kills hung API calls
  • Dedup — state file tracks processed trims, never re-runs
  • No context inflation — memories go to mem DB only, never to files that get auto-loaded into session context

Manual Run

bash skills/session-janitor/scripts/janitor.sh

Logs

tail -f /tmp/session-janitor.log

Watcher Service

The watcher fires trim within ~3 seconds of each turn completing (vs. waiting for the next cron cycle). setup.sh installs it automatically as a system service.

*Linux (systemd):*

systemctl --user status session-janitor-watcher
systemctl --user restart session-janitor-watcher
tail -f /tmp/session-janitor-watcher.log

*macOS (launchd):*

launchctl list | grep session-janitor
launchctl unload ~/Library/LaunchAgents/ai.openclaw.session-janitor-watcher.plist
launchctl load  ~/Library/LaunchAgents/ai.openclaw.session-janitor-watcher.plist
tail -f /tmp/session-janitor-watcher.log
  • *Linux* uses inotifywait (from inotify-tools) and watches via inotify kernel events.
  • *macOS* uses fswatch (via Homebrew) and watches via FSEvents.

Watchdog

The watchdog runs after every janitor pass and checks updatedAt on all active sessions. If any session is stale longer than watchdog.staleMinutes, it fires a Slack alert. Optional autoRestart will trigger the appropriate safe-restart script.

Alert cooldown is 10 minutes per session to prevent spam. State is tracked in the janitor state file.

# Run standalone
bash skills/session-janitor/scripts/watchdog.sh 5 ~/.openclaw/session-janitor-state.json

Sub-Agent Reporting Conventions

Workers spawned via Foreman should use prefixed sessions_send messages to prevent the parent agent from spawning new sub-agents in response to status updates:

# Intermediate status (fire-and-forget — parent relays but does NOT spawn)
sessions_send(sessionKey="{PARENT}", message="STATUS: 🤖 [label]: doing X (60%)", timeoutSeconds=0)

# Errors/failures (normal delivery — parent may intervene)
sessions_send(sessionKey="{PARENT}", message="ERROR: 🤖 [label]: what failed — details")

# Completion (no prefix, normal delivery)
sessions_send(sessionKey="{PARENT}", message="🤖 [label]: ✅ done — summary")
  • STATUS: → relay-only; timeoutSeconds=0 prevents reply-back loops
  • ERROR: → parent receives and considers recovery action
  • No prefix → completion; parent handles and relays to channel

Files

skills/session-janitor/
├── SKILL.md                              # This file
├── ARCHITECTURE.md                       # Deep dive: trimming mechanics, token math, examples
├── config.json                           # Generated by setup (gitignored)
├── config.example.json                   # Reference config
├── session-janitor-watcher.service       # Linux: systemd user service template
├── session-janitor-watcher.plist         # macOS: launchd LaunchAgent template
└── scripts/
    ├── setup.sh           # Discovery + config gen + cron + service install (Linux + macOS)
    ├── janitor.sh         # Main cron entry point
    ├── trim.py            # Transcript trimming (thinking, toolCall args, toolResult collapse)
    ├── sidecar.py         # Large toolResult offloader (→ .toolcache/ files)
    ├── watcher.sh         # Per-turn trigger (sidecar + trim; inotifywait/fswatch)
    ├── extract-llm.py     # LLM memory extraction
    ├── prune-sessions.py  # Stale session pruning
    ├── watchdog.sh        # Hung-session detector + Slack alert
    ├── test-sidecar.py    # Sidecar test suite (8 scenarios, 22 assertions)
    └── test-sidecar.sh    # Shell wrapper for sidecar tests

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能力 5

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安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

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安装前确认

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