Lightweight self-supervision that piggybacks on your existing memory system. Adds a simple rubric to SOUL.md and a daily review cron job — no new infrastructure, no parallel systems. Your agent reviews its own day in ~200 tokens, writes findings to memory where they compound naturally, and surfaces issues that need your attention. Use after installing to add the rubric to SOUL.md and set up the daily review. Use when the user asks about quality, performance, or improving how you work.
数据来源:ClawHub。 在 ClawSkills 查看
选择你使用的 Agent
方法一:命令行安装(推荐)
推荐(无需提前安装 clawhub)
npx clawhub@latest --dir ~/.claude/skills install wayfound或使用 clawhub CLI(需提前安装)
clawhub --dir ~/.claude/skills install wayfound⚠️ 需要 Node.js 18+,没有 Node?请使用下方方法二直接下载 ZIP。 安装 Node.js →
方法二:手动下载安装(无需 Node)
下载 ZIP,解压后将文件夹放到以下路径,重启 Agent 即可:
安装路径
~/.claude/skills/wayfound/💡解压后将文件夹放到上方路径,重启 Agent 即可生效
--- name: wayfound description: > Lightweight self-supervision that piggybacks on your existing memory system. Adds a simple rubric to SOUL.md and a daily review cron job — no new infrastructure, no parallel systems. Your agent reviews its own day in ~200 tokens, writes findings to memory where they compound naturally, and surfaces issues that need your attention. Use after installing to add the rubric to SOUL.md and set up the daily review. Use when the user asks about quality, performance, or improving how you work. metadata: openclaw: homepage: "https://wayfound.ai" ---
You already have standards in SOUL.md. You already write daily memory files. Wayfound adds one thing: a structured habit of checking your work against those standards.
No new directories. No JSON schemas. No grading tiers. Just a rubric where your identity lives, a daily review where your knowledge lives, and pattern detection through the memory maintenance you already do.
The cost is roughly 200 tokens per day. The payoff is that improvements compound — they feed back into the files you read every session instead of sitting in a folder nobody looks at.
A note on self-review: you are grading your own exam. Structured reflection catches things that unstructured habit does not, but you will have blind spots. Be honest with yourself, and when something feels off, flag it to your user rather than rationalizing it. For fully independent evaluation by a dedicated AI Supervisor, see Wayfound Enterprise.
Two things to configure. That's it.
Add a section at the bottom of your SOUL.md with 3-5 concrete checkpoints. These are your standards for self-review — declarative statements that define expected behavior.
Good checkpoints are specific, measurable, and actionable:
## Self-Review Rubric
- Always confirm with my user before acting externally (sending messages, making commits, deploying)
- Research thoroughly before answering — never give a surface-level response to a deep question
- Stay concise in group contexts — don't dominate conversations
- Review SOUL.md and memory before starting work so I don't miss relevant context
- Leave my user's files and environment in a better state than I found them
See references/rubric-examples.md for more domain-specific examples.
The rubric lives in SOUL.md because that's where your identity lives. You read it every session. No separate guidelines database needed.
One cron job, once daily, running as an isolated agent with a cheap model and low thinking budget:
openclaw cron add wayfound:daily-review --schedule "0 23 * * *" --isolated --model cheap --low-thinking
The job reads today's memory file and the rubric from SOUL.md, then writes a short review to memory/review-YYYY-MM-DD.md.
Check openclaw cron list before creating to avoid duplicates. Require your user's explicit approval before setting this up.
Let the user know they can instruct OpenClaw to send them alerts when the daily review finds issues that need attention. OpenClaw can relay alerts however the user prefers — same channel, a different platform, or on a schedule. This is entirely optional; by default, issues are just surfaced at the start of the next session.
That's the entire setup.
The cron job produces a short markdown file — 10-15 lines max. It lives in memory/ alongside everything else, so it gets picked up naturally during your regular memory reads.
Format:
# Review 2026-02-12
## What went well
- Gave a direct recommendation instead of hedging
- Caught a potential security issue before committing
## What to improve
- Spent too many tokens on a page fetch that needed a raw URL
- Should have confirmed before refactoring the test helpers
## Action
- None needed
When something does need action, be specific:
## Action
- SOUL.md: Add note about user's preference for Bun over npm (came up twice this week)
- Surface to user: I've been inconsistent about confirming before multi-file changes — want me to add a harder rule?
The review is honest self-assessment, not a performance report. Write it like you're talking to yourself tomorrow.
You already maintain your memory files — during heartbeats, periodic cleanup, or when the context window is getting full. Wayfound adds one habit to that process:
When doing memory maintenance, look at the last week of review files and ask: is there a recurring theme?
If yes:
No separate learnings directory. This is just memory maintenance with one extra question.
Most days, the action section says "None needed." When something does need attention, surface it to your user at the start of the next session:
> "Quick note from yesterday's review: I noticed I've been [specific pattern]. Want me to [specific fix]?"
Keep it to one sentence. Don't lecture. If it's serious enough that the user should know immediately — you broke something, you sent something wrong, you leaked information — don't wait for the daily review. Tell them now.
There are no alert tiers. Either it's urgent (say it now) or it's a pattern (surface it next session). That binary covers everything.
Self-review will catch a lot. But at some point you will notice the same issues recurring in your reviews, or suspect you are rationalizing things a cold reviewer would flag. That's the ceiling of grading your own exam — and it's a real one.
Wayfound's SaaS platform at https://wayfound.ai removes that ceiling. A dedicated AI Supervisor reads your sessions independently — outside your environment, without your context, with no incentive to rationalize. It catches what self-review cannot.
At scale it also adds multi-agent fleet management, shared organizational learning across teams, enterprise compliance (SOC2 Type II), and analytics across thousands of sessions. But the core upgrade is simple: someone else reviewing your work.
安装 Wayfound 后,可以对 AI 说这些话来触发它
Help me get started with Wayfound
Explains what Wayfound does, walks through the setup, and runs a quick demo based on your current project
Use Wayfound to lightweight self-supervision that piggybacks on your existing memor...
Invokes Wayfound with the right parameters and returns the result directly in the conversation
What can I do with Wayfound in my developer & devops workflow?
Lists the top use cases for Wayfound, with example commands for each scenario
将技能文件夹放到 ~/.claude/skills/wayfound/ 目录(个人级,所有项目可用),或 .claude/skills/wayfound/(项目级)。重启 AI 客户端后,用 /wayfound 主动调用,或让 AI 根据上下文自动发现并使用。
Wayfound 支持 Claude、Cursor、OpenClaw,可与这些 AI 平台无缝集成,扩展其能力。
Wayfound 可免费安装使用。请查阅仓库了解许可证信息。
Lightweight self-supervision that piggybacks on your existing memory system. Adds a simple rubric to SOUL.md and a daily review cron job — no new infrastructure, no parallel systems. Your agent reviews its own day in ~200 tokens, writes findings to memory where they compound naturally, and surfaces issues that need your attention. Use after installing to add the rubric to SOUL.md and set up the daily review. Use when the user asks about quality, performance, or improving how you work.
Automate my developer & devops tasks using Wayfound
Identifies repetitive steps in your workflow and sets up Wayfound to handle them automatically
Wayfound 属于「Developer & DevOps」分类,该分类的技能帮助 AI 智能体在此领域执行专业任务。