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Signal vs Noise
by
Mauricio Z.
· GitHub ↗
· v2.0.0
· MIT-0
149
Downloads
0
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0
Active Installs
2
Versions
Install in OpenClaw
/install signal-vs-noise
Description
Filter relevant information from noise; extract claims, dedupe, rank impact, and preserve evidence.
Usage Guidance
This skill appears coherent and low-risk in structure, but remember: it will process whatever dataset you give it. Before using it on sensitive material, (1) test with non-sensitive/sample data to confirm outputs and evidence formatting, (2) avoid feeding secrets or private identifiers you don't want preserved in evidence pointers, and (3) confirm you trust the skill owner (owner id appears generic). If you plan to run this in an environment where agent outputs are logged or shared, consider redacting sensitive fields upstream.
Capability Analysis
Type: OpenClaw Skill
Name: signal-vs-noise
Version: 2.0.0
The skill bundle is a text-processing utility designed to filter and rank information from a provided dataset. It contains no executable code, network requests, or instructions to access sensitive system resources or environment variables. The logic in SKILL.md and signal-vs-noise.md is entirely focused on data normalization, claim extraction, and deduplication within the provided input context, with no evidence of malicious intent or prompt-injection attacks.
Capability Tags
Capability Assessment
Purpose & Capability
The skill's name and description (filtering signals from noise) align with the SKILL.md steps (normalization, claim extraction, dedupe, ranking, evidence preservation). No unrelated capabilities, binaries, or credentials are requested.
Instruction Scope
The instructions are narrowly scoped to processing a provided dataset and producing ranked signals and a noise bucket. They do not instruct the agent to read system files, call external endpoints, or access environment variables. Note: because the skill preserves evidence (source/item ids), users should avoid supplying datasets that contain secrets or PII they don't want recorded or shared.
Install Mechanism
There is no install spec and no bundled code—this is instruction-only, which means nothing is written to disk or fetched during install.
Credentials
The skill requests no environment variables, credentials, or config paths. The requested surface is proportionate to the stated functionality.
Persistence & Privilege
always is false and the skill is user-invocable. It does not request permanent presence or elevated privileges and does not modify other skills or system-wide settings.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install signal-vs-noise - After installation, invoke the skill by name or use
/signal-vs-noise - Provide required inputs per the skill's parameter spec and get structured output
Version History
v2.0.0
signal-vs-noise version 2.0.0 is a major update with a formalized filtering and ranking workflow.
- Adds clear input/output formats and step-by-step filtering process.
- Introduces evidence preservation, deduplication, and impact-based ranking of signals.
- Includes validation checks for duplicate removal and evidence requirements.
- Provides usage examples and explicit safety/bias rules.
- Updates description and usage guidance for better clarity.
v1.0.0
- Initial release of signal-vs-noise skill.
- Helps users distinguish real progress from performative activity.
- Focuses on filtering for informed insights, structural value, and genuine intelligence.
- Aims to protect users from information overload and highlight meaningful content.
Metadata
Frequently Asked Questions
What is Signal vs Noise?
Filter relevant information from noise; extract claims, dedupe, rank impact, and preserve evidence. It is an AI Agent Skill for Claude Code / OpenClaw, with 149 downloads so far.
How do I install Signal vs Noise?
Run "/install signal-vs-noise" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Signal vs Noise free?
Yes, Signal vs Noise is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Signal vs Noise support?
Signal vs Noise is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Signal vs Noise?
It is built and maintained by Mauricio Z. (@mzfshark); the current version is v2.0.0.
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