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Install in OpenClaw
/install noisepan-digest
Description
Set up automated news digests using noisepan (signal extraction), entropia (source verification), and HN blind spot detection. Use when configuring daily new...
Usage Guidance
This skill is an instruction-only integration for noisepan/entropia and appears coherent, but before installing do these simple checks: 1) Inspect the referenced GitHub repos (ppiankov/noisepan and /entropia) and verify they are the projects you expect and have recent trustworthy releases. 2) When using the Linux install, verify the checksums.txt and ideally the release signatures yourself before extracting into /usr/local/bin; prefer a user-local install (~/bin or ~/.local/bin) if you are unsure. 3) Review any helper scripts the SKILL.md writes to ~/.local/bin or /usr/local/bin before making them executable. 4) Ensure you have python3, curl, and sha256sum (or platform equivalents) installed and be aware some commands assume GNU grep (-P). 5) Avoid running install/extract commands as root unless you trust the release artifacts. These steps will reduce risk while allowing the skill to function as described.
Capability Analysis
Type: OpenClaw Skill
Name: noisepan-digest
Version: 1.0.5
The skill bundle implements automated news digests but employs several high-risk behaviors, including downloading and installing external binaries from GitHub (ppiankov/noisepan and ppiankov/entropia) and creating shell scripts in SKILL.md that launch a local HTTP server (python3 -m http.server 18222) to bypass rate limits. While these actions are aligned with the stated purpose, the combination of binary execution, local server hosting, and script-based configuration manipulation (using sed and ln) represents a significant attack surface and potential for unintended side effects.
Capability Assessment
Purpose & Capability
The name/description ask for noisepan + entropia for news signal extraction and verification, and the SKILL.md consistently instructs installing and configuring those exact binaries. Suggested supporting tools (python3, curl) are reasonable for the scripts and commands provided.
Instruction Scope
Instructions stay within the expected scope: installing noisepan/entropia, editing ~/.noisepan/config.yaml and taste.yaml, creating helper scripts in ~/.local/bin, and pulling RSS/HN feeds. Minor inconsistencies: the registry metadata lists only noisepan and entropia as required binaries while the SKILL.md also requires python3 and curl; some commands (grep -oP, sha256sum) assume specific tooling availability which may not exist on all platforms but are not malicious.
Install Mechanism
No install spec in the registry (instruction-only). Install steps point to Homebrew formulae and GitHub releases for ppiankov/noisepan and ppiankov/entropia, and include checksum verification. These are standard mechanisms; the Linux flow downloads release archives and verifies checksums before extraction (reasonable). The README asks to prompt before writing to /usr/local/bin — good practice. User should still verify the GitHub project and release artifacts before executing.
Credentials
No credentials, tokens, or config paths beyond the user's home (~/.noisepan, ~/.local/bin, /tmp) are requested. The requested filesystem access (user config, optional write to /usr/local/bin) is proportionate to the skill's purpose.
Persistence & Privilege
The skill is not always-enabled and does not request elevated platform privileges. It does instruct creating persistent helper scripts (in ~/.local/bin and optionally /usr/local/bin) and touching ~/.noisepan state; this is normal for a CLI integration but you should approve any writes to system locations like /usr/local/bin and review scripts before installing.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install noisepan-digest - After installation, invoke the skill by name or use
/noisepan-digest - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.5
Add ANCC breadcrumb
v1.0.4
Branded footer with canonical authority notice
v1.0.3
Add copyright footer with canonical source
v1.0.2
Add MIT license
v1.0.1
Add checksum verification, declare entropia dependency, use ~/.local/bin instead of /usr/local/bin for helper scripts, ask user before system-path installs
v1.0.0
noisepan + entropia + HN blind spot detection, Reddit rate limit workaround, taste profile guide
Metadata
Frequently Asked Questions
What is Noisepan Digest?
Set up automated news digests using noisepan (signal extraction), entropia (source verification), and HN blind spot detection. Use when configuring daily new... It is an AI Agent Skill for Claude Code / OpenClaw, with 492 downloads so far.
How do I install Noisepan Digest?
Run "/install noisepan-digest" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Noisepan Digest free?
Yes, Noisepan Digest is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Noisepan Digest support?
Noisepan Digest is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Noisepan Digest?
It is built and maintained by ppiankov (@ppiankov); the current version is v1.0.5.
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