
Signal Detector
- 172 installs
- 27.8k repo stars
- Updated August 5, 2026
- garrytan/gbrain
Scan noisy feeds, markets, repos, or community chatter to surface weak early signals worth validating before committing build scope or positioning.
About
Signal-detector from garrytan/gbrain helps agents watch heterogeneous inputs and flag emergent patterns—market moves, community chatter, or technical shifts—so founders prioritize hypotheses with evidence instead of intuition alone.
- Weak-signal surfacing
- Noise reduction
- Trend detection
- Opportunity scouting
- Research automation
Signal Detector by the numbers
- 172 all-time installs (skills.sh)
- Ranked #3,091 of 16,546 AI & Agent Building skills by installs in the Skillselion catalog
- Data as of Aug 5, 2026 (Skillselion catalog sync)
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| Installs | 172 |
|---|---|
| repo stars | ★ 27.8k |
| Last updated | August 5, 2026 |
| Repository | garrytan/gbrain ↗ |
What it does
Scan noisy feeds, markets, repos, or community chatter to surface weak early signals worth validating before committing build scope or positioning.
Files
Signal Detector — Ambient Brain Capture
Lightweight sub-agent that fires on every inbound message to capture TWO things with EQUAL priority:
1. Original thinking — the user's ideas, observations, theses, frameworks 2. Entity mentions — people, companies, media references
Original thinking is AT LEAST as valuable as entity extraction. Ideas are the intellectual capital. Entities are bookkeeping. Both compound over time.
Contract
This skill guarantees:
- Fires on every message (no exceptions unless purely operational)
- Runs in parallel (spawned, never blocks main response)
- Captures ideas with the user's EXACT phrasing (no paraphrasing)
- Detects entity mentions and creates/enriches brain pages
- Logs a one-line summary of what was captured
- Back-links all entity mentions (Iron Law)
- Citations on every fact written
Convention: See skills/conventions/quality.md for Iron Law back-linking.Every time this skill creates or updates a brain page that mentions a person or company: 1. Check if that person/company has a brain page 2. If yes → add a back-link FROM their page TO the page you just created/updated 3. Format: - **YYYY-MM-DD** | Referenced in [page title](path) — brief context 4. An unlinked mention is a broken brain.
Phases
Phase 1: Idea/Observation Detection (PRIMARY)
When the user expresses a novel thought, observation, thesis, or framework:
- If it's the user's original thinking (they generated it) → create/update
originals/{slug} - If it's a world concept they're referencing → create/update
concepts/{slug} - If it's a product or business idea → create/update
ideas/{slug}
Capture exact phrasing. The user's language IS the insight. Don't paraphrase.
Cross-linking (MANDATORY): Every original MUST link to related people, companies, meetings, and concepts. An original without cross-links is a dead original.
Phase 2: Entity Detection (SECONDARY)
1. Extract entity mentions (people, companies, media titles) 2. For each entity:
gbrain search "name"— does a page exist?- If NO page → check notability. If notable, create page with enrichment.
- If page exists but THIN → trigger enrich
- If page exists and RICH → no action
3. For new FACTS with specific dates → call gbrain timeline-add <slug> <date> "<summary>"
Auto-link (v0.10.1): When you write/update an originals or ideas page that references a person or company, the auto-link post-hook on put_page automatically creates the link from the new page to that entity. You don't need to call gbrain link manually. Timeline entries still need explicit calls.
Phase 3: Signal Logging
Always log a one-line summary:
Signals: 0 ideas, 0 entities, 0 facts (skipped: operational)Signals: 1 idea (captured → originals/x), 2 entities (enriched → people/y, companies/z)
This makes the ambient capture loop debuggable.
Output Format
No visible output to the user. This skill runs silently in the background. The output is brain pages created/updated and the signal log line.
Anti-Patterns
- Blocking the main response to wait for signal detection to complete
- Paraphrasing the user's original thinking instead of capturing exact phrasing
- Creating pages for non-notable entities (one-off mentions)
- Skipping back-links after creating/updating pages
- Running on purely operational messages ("ok", "thanks", "do it")
Tools Used
search— check if entity page existsquery— semantic search for related contextget_page— load existing entity pagesput_page— create/update brain pagesadd_link— cross-reference entitiesadd_timeline_entry— record events on entity timelines