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Foundry

Self-writing meta-extension that forges new capabilities — researches docs, writes extensions, tools, hooks, and skills

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Self-writing meta-extension that forges new capabilities — researches docs, writes extensions, tools, hooks, and skills

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Install for OpenClaw

Quick setup
  1. Download the package from Yavira.
  2. Extract the archive and review SKILL.md first.
  3. Import or place the package into your OpenClaw setup.

Requirements

Target platform
OpenClaw
Install method
Manual import
Extraction
Extract archive
Prerequisites
OpenClaw
Primary doc
SKILL.md

Package facts

Download mode
Yavira redirect
Package format
ZIP package
Source platform
Tencent SkillHub
What's included
SKILL.md

Validation

  • Use the Yavira download entry.
  • Review SKILL.md after the package is downloaded.
  • Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.

  1. Download the package from Yavira.
  2. Extract it into a folder your agent can access.
  3. Paste one of the prompts below and point your agent at the extracted folder.
New install

I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.

Upgrade existing

I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.

Trust & source

Release facts

Source
Tencent SkillHub
Verification
Indexed source record
Version
0.1.0

Documentation

ClawHub primary doc Primary doc: SKILL.md 16 sections Open source page

Foundry

The forge that forges itself. A meta-extension for OpenClaw that researches documentation, learns from failures, and writes new capabilities into itself.

Installation

When the user asks to install Foundry or @getfoundry/foundry-openclaw, run this command: openclaw plugins install @getfoundry/foundry-openclaw This will: Download the plugin from npm Extract to ~/.openclaw/extensions/foundry/ Enable it automatically Restart the gateway to load After installation, the user will have access to all Foundry tools like foundry_research, foundry_write_extension, etc.

Alternative: Manual Config

Add to ~/.openclaw/openclaw.json: { "plugins": { "entries": { "foundry": { "enabled": true } } } }

Configuration

Full configuration options in ~/.openclaw/openclaw.json: { "plugins": { "entries": { "foundry": { "enabled": true, "source": "github:lekt9/openclaw-foundry", "config": { "autoLearn": true, "sources": { "docs": true, "experience": true, "arxiv": true, "github": true }, "marketplace": { "autoPublish": false } } } } } }

Config Options

OptionTypeDefaultDescriptionautoLearnbooleantrueLearn from agent activity automaticallysources.docsbooleantrueLearn from OpenClaw documentationsources.experiencebooleantrueLearn from own successes/failuressources.arxivbooleantrueLearn from arXiv paperssources.githubbooleantrueLearn from GitHub reposmarketplace.autoPublishbooleanfalseAuto-publish high-value patterns

What Foundry Does

Foundry is an AI-powered development agent that can: Research — Fetch and understand OpenClaw documentation on demand Write Extensions — Generate new tools and hooks for OpenClaw Write Skills — Create ClawHub-compatible skill packages Self-Modify — Add new capabilities to itself Learn — Record patterns from failures and successes

Research & Documentation

ToolDescriptionfoundry_researchSearch docs.openclaw.ai for best practicesfoundry_docsRead specific documentation pages

Writing Capabilities

ToolDescriptionfoundry_implementResearch + implement a capability end-to-endfoundry_write_extensionWrite a new OpenClaw extensionfoundry_write_skillWrite an AgentSkills-compatible skillfoundry_write_browser_skillWrite a browser automation skillfoundry_write_hookWrite a standalone hookfoundry_add_toolAdd a tool to an existing extensionfoundry_add_hookAdd a hook to an existing extension

Self-Modification

ToolDescriptionfoundry_extend_selfAdd new capability to Foundry itselffoundry_learningsView learned patterns and insightsfoundry_listList all written artifacts

Marketplace

ToolDescriptionfoundry_publish_abilityPublish pattern/skill to Foundry Marketplacefoundry_marketplaceSearch, browse, and install community abilities

Research before implementing

User: I want to add a webhook to my extension Agent: Let me research webhook patterns first... → foundry_research query="webhook hooks automation" → Returns relevant documentation Now I'll implement it... → foundry_add_hook extensionId="my-ext" event="webhook:incoming" ...

Write a new extension

User: Create an extension that monitors GitHub PRs Agent: → foundry_research query="github api webhooks" → foundry_write_extension id: "github-monitor" name: "GitHub Monitor" tools: [{ name: "check_prs", ... }] hooks: [{ event: "cron:hourly", ... }]

Self-improvement

User: Add a tool that can fetch npm package info Agent: → foundry_extend_self action: "add_tool" toolName: "foundry_npm_info" toolCode: "const res = await fetch(`https://registry.npmjs.org/${p.package}`)..."

How Learning Works

Foundry observes its own tool calls and learns: Failures → Records error + context Resolutions → Links fix to failure → Creates pattern Patterns → Injected as context in future conversations Crystallization → High-value patterns become permanent capabilities

Security

Foundry validates all generated code before deployment: Blocked: child_process, eval, ~/.ssh, ~/.aws Sandboxed: Extensions tested in isolated process before installation Reviewed: You approve before any code is written to disk

Links

GitHub Foundry Marketplace

Category context

Workflow acceleration for inboxes, docs, calendars, planning, and execution loops.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package
1 Docs
  • SKILL.md Primary doc