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Reader
by
ProjectSnowWork
· GitHub ↗
· v1.0.0
· MIT-0
388
Downloads
0
Stars
1
Active Installs
1
Versions
Install in OpenClaw
/install reader
Description
Local-first reading and distillation engine for documents and pasted text. Use whenever the user wants to read, summarize, extract key points, compare docume...
Usage Guidance
This skill appears coherent and local-only: it reads files or pasted text, summarizes/extracts/compares, and logs sessions to ~/.openclaw/workspace/memory/reader/history.json. Before installing, consider whether you want processed text or file paths retained there — the history can contain sensitive material. If you prefer not to retain data, inspect or delete that file (or modify the scripts to disable logging) after running init_storage.py. Verify python3 is available and, if you want extra caution, run the scripts in a restricted environment (container or VM) and review the source files yourself. There is no networking, no credential requests, and no external dependencies in the provided code.
Capability Analysis
Type: OpenClaw Skill
Name: reader
Version: 1.0.0
The 'reader' skill is a local-first document analysis tool that performs text normalization, summarization, and comparison. The code (scripts/lib/text_utils.py and scripts/lib/storage.py) uses standard Python libraries for file I/O and regex-based processing without any network calls, external dependencies, or suspicious execution patterns. All data is stored locally in a dedicated workspace directory as described in SKILL.md.
Capability Assessment
Purpose & Capability
Name/description (local-first reading, summarization, comparison) aligns with the provided Python scripts. All files implement text loading, splitting, summarization, extraction, comparison and local session logging — nothing unrelated is requested.
Instruction Scope
SKILL.md and scripts limit operations to reading local files or direct text input and writing session metadata. No networking, external APIs, or environment-variable access are present. Note: the skill records sessions (file paths and operation types) and does store text-derived outputs in a local history file, which may retain sensitive content.
Install Mechanism
No install spec; instruction-only with included Python scripts. Requires only a local python3 binary and no external packages. No downloads or third-party installers are used.
Credentials
The skill requests no credentials or env vars (proportional). It does create and update ~/.openclaw/workspace/memory/reader/history.json to record sessions and metadata — this is reasonable for a local reader but means processed inputs (or references to file paths) are persisted locally.
Persistence & Privilege
always is false; the skill only writes to its own directory under the user's home. It does not modify other skills, system settings, or request elevated privileges.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install reader - After installation, invoke the skill by name or use
/reader - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
[email protected]: Read less. Understand more. Launched as a local-first reading and distillation engine for summarizing text, extracting key points, pulling action items, and comparing documents without external sync or credentials.
Metadata
Frequently Asked Questions
What is Reader?
Local-first reading and distillation engine for documents and pasted text. Use whenever the user wants to read, summarize, extract key points, compare docume... It is an AI Agent Skill for Claude Code / OpenClaw, with 388 downloads so far.
How do I install Reader?
Run "/install reader" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Reader free?
Yes, Reader is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Reader support?
Reader is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Reader?
It is built and maintained by ProjectSnowWork (@projectsnowwork); the current version is v1.0.0.
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