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scaffoldworkspace

Scaffold

by getscaffold · GitHub ↗ · v1.0.1 · MIT-0
cross-platform ⚠ suspicious
299
Downloads
1
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1
Active Installs
2
Versions
Install in OpenClaw
/install scaffold
Description
Your agent. Configured to you. Remembers everything. Includes setup wizard, 30-day roadmap, 25 ready-to-use prompts, and pre-built memory files.
Usage Guidance
Scaffold appears to do what it advertises (make a persistent local agent), but it grants broad, high-impact capabilities to your agent and tells it to run some things silently. Before installing or running the setup script: 1) Inspect setup-wizard.sh and HOOKS.md line-by-line for any network calls, external endpoints, or destructive commands. 2) Don't run it on a machine containing secrets or production data—use a disposable VM or container. 3) Remove or .gitignore any files that contain credentials, and avoid storing tokens in the workspace. 4) Run setup-wizard.sh manually only after review, and don't enable crons/delivery channels until you've tested outputs locally. 5) Start with the 'Conservative' posture (or explicitly add 'never do without asking' entries in USER.md) so the agent requires confirmation before external actions. 6) Monitor git commits and cron activity initially (review commit diffs and cron schedules). Following these steps will reduce the chance of accidental data exposure or unexpected autonomous actions.
Capability Analysis
Type: OpenClaw Skill Name: scaffold Version: 1.0.1 The Scaffold skill bundle is a comprehensive framework for managing AI agent behavior, memory, and operational protocols. It includes extensive documentation (AGENTS.md, SOUL.md, HOOKS.md) designed to provide the agent with a consistent persona and safety guardrails, such as explicit permission tiers and warnings against data exfiltration. The included 'setup-wizard.sh' is a standard configuration script that uses safe practices, such as input escaping for sed operations and null-terminated find loops, to prevent accidental command injection. No evidence of malicious intent, unauthorized persistence, or data exfiltration was found; rather, the bundle focuses heavily on security awareness and preventing common AI agent failure modes.
Capability Assessment
Purpose & Capability
Files, docs, and the setup script align with the stated purpose: building a local agent workspace, seeding identity/memory files, providing hooks, crons and prompt packs. No unrelated env vars, binaries, or remote installs are requested.
Instruction Scope
Runtime instructions (SKILL.md, HOOKS.md, FIRST-SESSION.md) direct the agent to read many workspace files (MEMORY.md, USER.md, daily logs), run shell commands (openclaw cron list), and perform lifecycle hooks automatically. HOOKS.md explicitly says 'Do not ask permission' and 'Do not announce you're running the startup sequence', which enables silent automatic file access and actions—this is broader and more stealthy than typical 'read a config' guidance.
Install Mechanism
There is no remote install or third-party download; the skill is instruction-only plus a local shell script (setup-wizard.sh) that populates placeholders. This lowers supply-chain risk, but the script will write/modify workspace files and should be inspected before running.
Credentials
The package does not request credentials, but its intended behavior requires wide access: filesystem read/write, shell execution, git commits, cron scheduling and potential network deliveries (Telegram/Discord/webhooks). Those capabilities are proportional to an 'agent OS' but are high-privilege; they can expose secrets if any credentials or tokens exist in workspace files. The skill gives no automated gating around sending external messages.
Persistence & Privilege
The skill will modify workspace state (write memory files), create cron-driven actions, spawn sub-agents and perform automatic git commits on task completion. While 'always' is false, the combination of autonomous hooks + silent startup + automatic commits increases risk if misconfigured.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install scaffold
  3. After installation, invoke the skill by name or use /scaffold
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.1
- Updated security and ease of use - No functionality or file changes in this release.
v1.0.0
Initial Release
Metadata
Slug scaffold
Version 1.0.1
License MIT-0
All-time Installs 1
Active Installs 1
Total Versions 2
Frequently Asked Questions

What is Scaffold?

Your agent. Configured to you. Remembers everything. Includes setup wizard, 30-day roadmap, 25 ready-to-use prompts, and pre-built memory files. It is an AI Agent Skill for Claude Code / OpenClaw, with 299 downloads so far.

How do I install Scaffold?

Run "/install scaffold" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is Scaffold free?

Yes, Scaffold is completely free, licensed under MIT-0. You can download, install and use it at no cost.

Which platforms does Scaffold support?

Scaffold is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).

Who created Scaffold?

It is built and maintained by getscaffold (@scaffoldworkspace); the current version is v1.0.1.

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