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Install in OpenClaw
/install nm-memory-palace-knowledge-intake
Description
Process external resources into stored knowledge with quality evaluation, curation routing, and application decisions
Usage Guidance
This skill is coherent for its stated goal of ingesting and curating external resources, but it assumes runtime tools and remote conversion endpoints that are not declared in the registry metadata. Before installing/use: (1) Confirm where the required 'leyline' document-conversion and content-sanitization hooks point — if they call remote services, do not send sensitive local files until you trust the endpoint. (2) Be aware the SKILL.md will construct file:// URIs for local file ingestion — only supply local paths you are comfortable having processed. (3) The discussion-promotion module uses the gh CLI to create/update GitHub Discussions; ensure the agent's gh auth and repository permissions are appropriate and you consent to posting summaries. (4) Ask the skill author to explicitly list required binaries (gh, markitdown or conversion tools, WebFetch) and any credentials or endpoints the hooks call. (5) If you cannot verify the document-conversion and WebFetch implementations are local/trusted, test in a sandbox environment first or decline to enable automatic ingestion of private files. If the author supplies clarifications showing all conversion and storage endpoints are local or under your control, this skill is reasonably coherent; otherwise treat it cautiously.
Capability Analysis
Type: OpenClaw Skill
Name: nm-memory-palace-knowledge-intake
Version: 1.0.0
The skill bundle provides a comprehensive framework for an AI agent to ingest, evaluate, and manage external knowledge resources. It includes instructions for fetching web content, performing quality validation via a 'slop-detector', and promoting high-quality entries to GitHub Discussions using the 'gh' CLI (modules/discussion-promotion.md). While the skill involves high-privilege actions such as network access and GitHub API interactions, these behaviors are transparently documented, strictly aligned with the stated purpose of knowledge management, and emphasize human-in-the-loop approval for any destructive or public-facing actions (modules/pruning-workflows.md). No evidence of malicious intent, data exfiltration, or unauthorized persistence was found.
Capability Assessment
Purpose & Capability
The skill is an instruction-only knowledge-intake framework and the declared required config paths (leyline/document-conversion, scribe/slop-detector, memory-palace/digital-garden, etc.) align with that purpose. However, the SKILL.md assumes the presence of external tools and protocols (gh CLI, WebFetch, markitdown/Claude Code conversion tools, leyline hooks) while the registry metadata declares no required binaries or credentials — a mismatch between what it expects to be available and what it explicitly asks for.
Instruction Scope
Runtime instructions include fetching web content, converting documents (PDF/DOCX/PPTX/XLSX/epub) via a document-conversion protocol, constructing file:// URIs for local file ingestion, wrapping content in sanitization boundaries, and optionally pushing summaries to GitHub Discussions via gh GraphQL mutations. Those actions are within the stated purpose but they also involve reading local file paths and transmitting content to conversion endpoints and GitHub. That creates potential for unintended data exposure if the document-conversion or WebFetch endpoints are remote/untrusted or if the gh CLI is authenticated to a repo with broad permissions. The SKILL.md does state human approval is required for destructive tidying actions, but several automated transmission steps remain.
Install Mechanism
No install spec and no code files — instruction-only — so nothing is written to disk by the skill bundle itself. This is lower-risk from a supply-chain/executable standpoint. However, the skill relies on external tools/protocols at runtime (gh, markitdown, WebFetch, Claude Code tools) that are not declared as required binaries.
Credentials
The skill requests no environment variables or tokens in metadata, but it references operations that require credentials at runtime: e.g., pushing to GitHub Discussions via the gh CLI (which requires gh auth) and potentially sending files to a document-conversion service (which often requires API keys or remote endpoints). The many required config path hooks are reasonable for a modular memory-palace architecture, but you should ensure those config entries point to trusted, local services and that no unrelated credentials are exposed.
Persistence & Privilege
always:false and the SKILL.md emphasizes human curator approval for tidying (archive/delete) actions. The skill does not request permanent system presence or modify other skills' configs in the provided instructions.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install nm-memory-palace-knowledge-intake - After installation, invoke the skill by name or use
/nm-memory-palace-knowledge-intake - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
knowledge-intake 1.0.0 initial release:
- Introduces a systematic framework for processing external resources into actionable, curated knowledge.
- Supports evaluation, scoring, and routing of links, documents, and files with automated content ingestion and deduplication.
- Enforces quality via required scribe/validator checks before storing knowledge entries.
- Implements a multi-step intake workflow: fetch, evaluate, decide, store, validate, connect, promote, apply, and prune.
- Adds logic for storage location decisions and offers automatic promotion to discussion for high-value items.
Metadata
Frequently Asked Questions
What is Nm Memory Palace Knowledge Intake?
Process external resources into stored knowledge with quality evaluation, curation routing, and application decisions. It is an AI Agent Skill for Claude Code / OpenClaw, with 70 downloads so far.
How do I install Nm Memory Palace Knowledge Intake?
Run "/install nm-memory-palace-knowledge-intake" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Nm Memory Palace Knowledge Intake free?
Yes, Nm Memory Palace Knowledge Intake is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Nm Memory Palace Knowledge Intake support?
Nm Memory Palace Knowledge Intake is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Nm Memory Palace Knowledge Intake?
It is built and maintained by athola (@athola); the current version is v1.0.0.
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