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Weak Signal Synthesizer

Checked
onewave-ai·vlatest·data·MIT

Amplifies faint data signals into usable insights, revealing hidden patterns from sparse or noisy datasets.

Repository

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add onewave-ai/claude-skills --skill weak-signal-synthesizer -a claude-code

  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

onewave-ai

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned onewave-ai/claude-skills at f317e08649.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Commit
f317e08649
Manifest
weak-signal-synthesizer/SKILL.md
Scanned
1 file, 58 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

The weak-signal synthesizer skill enables AI agents to detect, interpret, and act upon subtle market indicators that are often overlooked by standard analysis tools. It transforms fragmented or low-volume data points into actionable strategic insights for decision-making processes.

When to use it

  • Analyzing early-stage trends before they become mainstream market movements.
  • Identifying niche opportunities hidden within noisy or sparse datasets.
  • Supporting strategic planning when traditional metrics fail to provide clear direction.
  • Enhancing predictive modeling by incorporating non-obvious variables into the analysis.

Key capabilities

  • Detection of subtle patterns in complex data streams.
  • Synthesis of weak signals into coherent strategic narratives.
  • Integration of fragmented information into a unified view.
  • Actionable output generation based on low-confidence indicators.

Example prompts

  • "Identify emerging consumer trends from recent social media discussions that have less than 100 mentions but show high engagement rates."
  • "Synthesize weak signals from quarterly earnings calls to predict potential shifts in industry regulation."
  • "Analyze fragmented supply chain data to detect early signs of disruption before they appear in major news reports."

Tips & gotchas

This skill requires input data that contains subtle patterns; it may not perform well with clean, high-volume datasets where obvious trends dominate. Users should validate synthesized insights against established facts, as the nature of weak signals involves higher uncertainty and potential for false positives.