weak-signal-synthesizer

Identify EMERGING trends by connecting dots across unrelated sources.

What this skill does for you

Identify EMERGING trends by connecting dots across unrelated sources. Monitor niche communities, academic research, GitHub, patents, funding, regulatory changes. Predict what will trend in 3-6 months based on weak signals.

Quoted from the skill description in the pinned source

Who made it

Publisheronewave-ai

Repositoryclaude-skills

Installs291as of Sep 27, 2026

Use it with Edge

Set up Edge for me: read getedge.cc/SKILL.md and follow it. Then use Edge to load the weak-signal-synthesizer skill from onewave-ai/claude-skills.

Paste it into Claude, ChatGPT, Codex or Cursor.

Or read the skill source first.

Security evidence

Security state at 2026-09-30: reviewed. State definitions. This records static evidence for this revision; live load eligibility is checked again.

3 static scans, 0 counted findings. The listed scanners recorded the results shown for this package revision.

Scanner	Date	Result
Edge static checks	2026-09-27	Pass
Cisco skill-scanner	2026-09-27	Pass
Semgrep Edge rules	2026-09-27	Pass

Static scans check the code, not how well the skill works.

Scanner scope, raw findings and mirrored provider records

Edge static checks (Edge-run): edge-static/1.0.1. Scope: Static patterns for remote execution, credentials with network sends, obfuscation, prompt overrides, hidden Unicode, binaries and persistence. Revision: f317e08649a6584ed4cd0b1ae353f123f4daf791. Raw findings: . Counted findings: .

Cisco skill-scanner (Edge-run): cisco-skill-scanner/2.1.0. Scope: Local static, YARA, pipeline and behavioral analyzers; no LLM or AI Defense analysis. Revision: f317e08649a6584ed4cd0b1ae353f123f4daf791. Raw findings: 1. Counted findings: .

Semgrep Edge rules (Edge-run): semgrep/1.178.0+edge-rules.c15016a36fd3+offline-v1. Scope: Six Edge-authored static rules with Semgrep CE; offline execution and metrics disabled. Semgrep-maintained rules excluded. Revision: f317e08649a6584ed4cd0b1ae353f123f4daf791. Raw findings: . Counted findings: .

Source and licence

Repository: https://github.com/onewave-ai/claude-skills
Pinned skill file: View source at revision
Revision: f317e08649a6584ed4cd0b1ae353f123f4daf791
Package hash: sha256:7ce980b92fbabb777294cc603d9f8b8b33335ca9aeec48795d5191d76f0c2ec4
Licence: MIT