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Install in OpenClaw
/install workspace-local-retrieval
Description
Build boundary-first local retrieval for OpenClaw with explicit corpora, deny-by-default agent access, separate memory layers, and a validated minimal demo p...
Usage Guidance
This skill appears coherent and conservative, but review and confirm before running: (1) The bootstrapper will write template JSON files to the destination you provide — do not run with --force unless you want overwrites. (2) The skill does not auto-index or call the network, but the default backend template points to a local Ollama endpoint (127.0.0.1) — verify or change that before enabling embeddings. (3) If you plan to install the CLI via npm, prefer installing from a trusted package source; installing arbitrary global packages carries supply-chain risk. (4) Run the prereq checker first (workspace-local-retrieval check) and inspect generated config files before performing indexing or connecting any embedding backend. (5) If you need greater assurance, ask the publisher for an official release URL or audit the package that would appear on npm before installing.
Capability Analysis
Type: OpenClaw Skill
Name: workspace-local-retrieval
Version: 1.0.0
The skill bundle provides a robust, privacy-focused framework for bootstrapping local Retrieval-Augmented Generation (RAG) architectures within an OpenClaw workspace. It includes a Node.js CLI (bin/workspace-local-retrieval.js) and Python scripts for environment validation (check_retrieval_prereqs.py) and configuration template generation (bootstrap_workspace_retrieval.py). The architecture emphasizes 'deny-by-default' access policies and explicit data boundaries to prevent accidental exposure of sensitive information. The code is well-structured, lacks network calls or data exfiltration logic, and the instructions in SKILL.md promote safe agent behavior by requiring explicit user authorization and a task plan before making any environment changes.
Capability Assessment
Purpose & Capability
Name/description match the included artifacts: a CLI wrapper, prereq checker, and bootstrapper that generate sanitized config templates for a local retrieval stack. Required capabilities (Python, Node, SQLite, optional local Ollama) are consistent with a local-first retrieval purpose.
Instruction Scope
SKILL.md and scripts constrain actions to: running prerequisite checks, writing template config files, and recommending next steps. The bootstrapper explicitly avoids network calls and does not index or scan user data. The CLI invokes only the included Python scripts and performs local file writes; no instructions ask the agent to read unrelated secrets or transmit data.
Install Mechanism
There is no registry install spec in the manifest (the skill is instruction/codeshipped), but package.json and bin/ provide an npm-friendly CLI. This is not harmful, but users should note that the npm-install claim in SKILL.md presumes publishing to npm; installing arbitrary packages from unknown registries has typical supply-chain risks.
Credentials
The skill declares no required env vars or credentials. The code respects optional local services (ollama) and uses PYTHON env var as an override for which Python executable to run — reasonable and proportionate for cross-platform scripts. No unrelated credentials are requested or used.
Persistence & Privilege
The skill does not request always:true or elevated platform privileges. It writes only template config files under the user-specified destination (refuses to overwrite without --force) and does not modify other skills or system-wide agent settings. Autonomous invocation is allowed by default (normal) but the skill's runtime behavior is local and conservative.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install workspace-local-retrieval - After installation, invoke the skill by name or use
/workspace-local-retrieval - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Release 1.0.0: npm-friendly CLI bootstrapping with prerequisite checks and updated documentation
v0.3.4
Add OS-specific prerequisite installers, a one-command demo setup path, a real-workspace quickstart, and clearer GitHub-facing positioning for validated minimal demo vs non-turnkey workspace retrieval.
v0.3.3
Rename display name to Agent-Scoped Local Retrieval for clearer external positioning; keep slug unchanged for link stability.
v0.3.2
Shorten ClawHub-facing copy and summary for faster external reading while keeping boundary-first positioning and validation claims precise.
v0.3.1
Polish ClawHub-facing positioning and summary for external readers; tighten frontmatter description and listing copy while preserving validation honesty.
v0.3.0
Add validation contract and anti-overclaim guidance; align publish wording with maturity rules; add minimal closed-loop demo corpus, SQLite FTS5 index/search scripts, and passing smoke tests for a fully validated minimal demo path.
v0.2.0
Add explicit prerequisite gate, OS-aware install policy, dependency guidance, backend config template, and runnable environment checks. Skill now blocks execution when required dependencies are missing and can first drive installation planning.
v0.1.0
Initial public release: local-first retrieval architecture with explicit corpus boundaries, deny-by-default agent access, sanitized starter templates, design rationale, and maintenance-aware refresh guidance.
Metadata
Frequently Asked Questions
What is Workspace Local Retrieval?
Build boundary-first local retrieval for OpenClaw with explicit corpora, deny-by-default agent access, separate memory layers, and a validated minimal demo p... It is an AI Agent Skill for Claude Code / OpenClaw, with 134 downloads so far.
How do I install Workspace Local Retrieval?
Run "/install workspace-local-retrieval" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Workspace Local Retrieval free?
Yes, Workspace Local Retrieval is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Workspace Local Retrieval support?
Workspace Local Retrieval is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Workspace Local Retrieval?
It is built and maintained by YS-c-23 (@ys-c-23); the current version is v1.0.0.
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