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CertainLogic Context Manager

这是OpenClaw专属上下文管理工具,核心功能:跟踪会话查询次数,达阈值时生成交接摘要并预警;用户触发/ new重置后,自动读取摘要恢复上下文;还支持主动生成交接、查询计数,能检测话题切换自动存摘要。适用于长AI会话管理、降令牌消耗、维护会话整洁场景,通过命令或触发词调用,有效避免令牌膨胀导致的成本激增。

certainlogicai
certainlogicai
热度 37.05
最近更新 2026-05-11 17:43:42
分类:自动化依赖:读写文件应用场景:工作流 / 自动化脚本

安装技能

复制下面的话术发给你的 Agent,它会通过 secure-skills 检索并安装该技能。

执行命令安装此 skill: npx secure-skills-cli add certainlogic-context-tokenreducer
Metadata
name
certainlogic-context-manager
license
MIT
description
Prevent AI session token bloat and runaway costs. Tracks query count per session, warns at a configurable threshold, auto-writes a dense handoff summary before reset, and reads it back on the next session start — so no work is lost and every session starts lean. Without session resets, a standard OpenClaw session can balloon from 18K to 400K+ input tokens, multiplying cost 22x. This skill prevents that automatically. Use when managing long AI sessions, reducing token burn, keeping context lean, or implementing session hygiene for any OpenClaw-based agent. Triggers on phrases like "context management", "session reset", "token bloat", "query counter", "handoff", "save context", or "/new". Built by CertainLogic.

Context Manager

Keeps sessions lean. Tracks query count, warns before context bloats, saves a handoff summary so work continues cleanly in the next session.

How It Works

  1. Counter — Increment session_query_count.txt every turn
  2. Warn — At threshold, write handoff.md and alert the user
  3. Reset — User runs /new; next session reads and deletes handoff.md

Files

File Purpose
session_query_count.txt Integer. Increment each turn. Create if missing (default 0).
handoff.md Workspace root. Written at threshold. Read + deleted on next session start.

Every Turn (mandatory)

1. Read session_query_count.txt (default 0 if missing)
2. Increment by 1
3. Write back
4. If count == THRESHOLD: trigger handoff flow

Default threshold: 10. Configurable per deployment.

Handoff Flow (at threshold)

  1. Write handoff.md — see handoff-format.md for exact spec
  2. Tell the user:

    ⚠️ 10 queries in — context is getting heavy. Handoff saved. Run /new when ready to continue.

  3. Do NOT auto-reset. User controls the reset.

Session Start Flow

1. Check if handoff.md exists
2. If exists AND file is < 3 hours old:
   a. Read it
   b. Apply context to current session
   c. Delete handoff.md
3. Reset session_query_count.txt to 0

Topic Switch Detection

When the user says "BTW", "switching gears", "new topic", or starts a clearly unrelated task:

  1. Write/overwrite handoff.md immediately (don't wait for threshold)
  2. Tell the user: "Handoff saved — /new when ready"
  3. Resume or continue current task

Why This Matters

Session context is cumulative. Every prior message, tool call, and assistant response is re-sent on every new query. Without resets, a lean 18K-token session becomes 50K–400K+ within hours.

See token-math.md for cost impact data and reset savings estimates.

Commands

Command Behavior
/new or /reset User-triggered. New session starts; skill reads handoff.md if present.
/handoff Explicit handoff write. Same as threshold flow, on demand.
/counter Report current query count and threshold.

Configuration

Override defaults in AGENTS.md or equivalent workspace config:

- CONTEXT_THRESHOLD: 10        # Queries before warning (default: 10)
- HANDOFF_TTL_HOURS: 3         # Hours before handoff.md is considered stale (default: 3)

Reliability Rules

  • Never skip the counter increment — even for one-liner responses
  • Never auto-reset — the user owns the session lifecycle
  • Handoff must be written before warning — never warn without saving state first
  • Counter file is source of truth — do not track in memory

What This Saves You

Without this skill With this skill
Sessions balloon to 400K+ tokens Sessions stay under 25K
Cost multiplies 22x over a day Cost stays near baseline
Work lost on manual /new resets Handoff auto-saved, resumed next session
No signal before context degrades Warning fires before quality drops

See token-math.md for the full cost breakdown.


Built by CertainLogic — trusted fact infrastructure for AI agents.