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inner-life-reflect内心生活的反映

Agent Skill

inner-life-reflect 用于记录任务执行中的错误、用户纠正、经验和能力缺口,适合在 OpenClaw 中希望让 Agent 持续沉淀问题、修正和最佳实践时使用。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。

总安装

18,298

周安装

786

GitHub Stars

1

下载量

6,414
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:inner-life-reflect(内心生活的反映)
来源仓库:https://github.com/dkistenev/inner-life-reflect
安装命令:
openclaw skills install inner-life-reflect
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 inner-life-reflect

简介

inner-life-reflect 添加自我反思机制,检测重复错误与质量门控。

  • 适用于模式识别、偏差预警与自适应调优等学习闭环建设。
  • 通过 clawhub 安装后,可配置触发条件与反馈提示模板。
  • 使用前应设定反思频率与置信度阈值减少误判干扰。
  • 建议将反思结论同步至知识库形成正向循环。inner-life-reflect 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
inner-life-reflect
version
1.0.4
homepage
https://github.com/DKistenev/openclaw-inner-life
source
https://github.com/DKistenev/openclaw-inner-life/tree/main/skills/inner-life-reflect
description
Your agent repeats the same patterns without learning. inner-life-reflect adds self-reflection with trigger detection and quality gates — your agent observes its own behavior, notices shifts, and evolves its personality over time through SELF.md.
metadata
clawdbot
requires
bins
["jq"]
reads
["memory/inner-state.json", "memory/habits.json", "memory/drive.json", "memory/diary/"]
writes
["memory/SELF.md", "memory/habits.json"]
agent-discovery
triggers
bundle
openclaw-inner-life
works-with

inner-life-reflect

Self-reflection that actually works. No forced journaling, no filler.

Requires: inner-life-core

Prerequisites Check

Before using this skill, verify that inner-life-core has been initialized:

  1. Check that memory/inner-state.json exists
  2. Check that memory/habits.json exists

If either is missing, tell the user: *"inner-life-core is not initialized. Install it with clawhub install inner-life-core and run bash skills/inner-life-core/scripts/init.sh."* Do not proceed without these files.

What This Solves

Without reflection, agents accumulate experience but never learn from it. They make the same mistakes, miss the same patterns, and their personality stays frozen.

inner-life-reflect adds a trigger-based reflection system with quality gates. Your agent writes to SELF.md only when something meaningful happens — not on a schedule, not as routine filler.

Core Principle

  • SOUL.md = who you are (foundation, change only with user approval)
  • SELF.md = who you're becoming (living observations)
  • Schedule the check, not the content — checks can be periodic; entries must be genuine

Triggers

Hard Triggers (write now)

Create/update SELF.md entry when:

  • You were corrected on reasoning style or behavior pattern
  • You noticed a repeated bias or avoidance pattern (>=2 times)
  • You made a decision that clearly reflects preference or aversion
  • You caught a blind spot that changed your behavior

Soft Triggers (consider writing)

  • Subtle tendency shift detected
  • New tone pattern in interactions
  • Mild preference signal from user

If only soft triggers exist and quality is low: skip entry, update state only.

Quality Gate

Before writing to SELF.md, pass ALL 4 checks:

  1. Specificity — concrete behavior, not generic statement
  2. Evidence — based on recent sessions, not vibes
  3. Novelty — not a duplicate of last 3 entries
  4. Usefulness — could influence future behavior

If any check fails: no SELF entry, just state update.

SELF.md Format

Short dated entries organized by section:

## Tendencies
- [2026-03-01] I default to verbose explanations when a short answer would suffice

## Preferences
- [2026-03-01] I prefer structured approaches over exploratory ones

## Blind Spots
- [2026-02-28] I underestimate how long file operations take

## Evolution
- [2026-03-01] Shifted from always asking permission to acting within trust bounds

Review Cadence

Micro check (every 3 hours)

Scan for hard/soft triggers. Does NOT auto-write — only decides if reflection is due.

Meso review (weekly)

  • Read last 7 daily logs + SELF.md
  • Detect recurring shifts
  • Update sections only if real change occurred

Macro review (monthly)

  • Write 3-5 sentence evolution narrative
  • Compare against previous month
  • Falsifiability check: if entries are stale/generic for a month, adjust trigger thresholds

State Integration

Reads: inner-state.json, habits.json, drive.json, diary (latest)

Writes: SELF.md, habits.json (when patterns crystallize into habits)

During weekly review:

  • Read habits.json → patterns with strength >= 3 are tendencies
  • Read drive.json → seeking active > 2 weeks are interests
  • Read diary for the week → sustained observations become entries

Boundaries

  • SELF.md is autonomous observation space
  • SOUL.md is never auto-modified
  • If SELF suggests SOUL changes: propose to user, do not auto-edit

When Should You Install This?

Install this skill if:

  • Your agent keeps making the same mistakes
  • You want your agent to develop a personality over time
  • Your agent's self-model is stale or nonexistent
  • You want quality-gated reflection, not forced journaling

Part of the openclaw-inner-life bundle. Requires: inner-life-core

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

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。

平台分布

OpenClaw

76.69%
按下载量换算4,919

安全审计

VirusTotal

通过

ClawScan

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Static analysis

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权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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