Skillget

Chorus

agent
Guvenlik Denetimi
Uyari
Health Uyari
  • License — License: MIT
  • No description — Repository has no description
  • Active repo — Last push 0 days ago
  • Community trust — 25 GitHub stars
Code Uyari
  • process.env — Environment variable access in src/lib/config.ts
  • network request — Outbound network request in src/signals/fetcher.ts
Permissions Gecti
  • Permissions — No dangerous permissions requested
Purpose
This agent detects when multiple "smart money" wallet cohorts on the Solana blockchain genuinely agree on a token's direction, aiming to filter out isolated inventory moves from true cross-cohort consensus.

Security Assessment
The tool requires outbound network access (found in `src/signals/fetcher.ts`) to fetch on-chain data or external API signals, which is expected for its use case. It reads environment variables for configuration (`src/lib/config.ts`) but does not request dangerous system permissions, does not execute arbitrary shell commands, and does not appear to contain hardcoded secrets. Because it is a financial tracking tool relying on external data sources, developers should audit exactly what endpoints the fetcher is calling to prevent data leaks. Overall risk: Low.

Quality Assessment
The project is actively maintained, with its most recent push occurring today. It is released under the permissive and standard MIT license. However, the repository lacks an explicit description and is still in its early stages of community adoption, sitting at 25 GitHub stars. Treat it as a young but actively developed project.

Verdict
Use with caution — the codebase is transparent and low-risk, but early-stage community adoption means you should verify its outbound network requests before relying on it.
README.md

Chorus

Cohort-consensus tracker for smart-money behavior on Solana.

See when smart money is actually aligned instead of just noisy in one pocket.

bun run dev

  • watches makers, funds, teams, and traders as separate cohorts
  • ignores one-cohort inventory skew that looks bigger than it is
  • promotes tokens where multiple cohorts agree on direction at the same time

Build
License

Consensus Board • Signal Feed • Operating Surfaces • Cohort Separation • Consensus States • Technical Spec • Quick Start

At a Glance

  • Use case: detect when multiple Solana wallet cohorts actually agree on a name
  • Primary input: cohort weighting, wallet tiering, timing alignment, agreement ratio
  • Primary failure mode: mistaking one-cohort inventory skew for broad conviction
  • Best for: operators who need to know whether smart-money alignment is real or isolated

Consensus Board

Chorus consensus map

Signal Feed

Chorus signal feed

Operating Surfaces

  • Consensus Board: shows whether conviction is broad or isolated to one cohort
  • Signal Feed: prints the actual names climbing the alignment stack
  • Cohort Weighting: ranks makers, funds, teams, and traders separately before blending
  • Agreement Score: converts wallet activity into a usable conviction state

Why Wallet Tracking Usually Breaks Down

Most wallet dashboards collapse all "smart money" into one stream. That looks useful until a single cohort dominates the tape and the board starts pretending there is broad agreement when there is not.

Chorus avoids that mistake on purpose. It keeps funds, makers, teams, and traders separated long enough for the operator to see whether conviction is actually spreading or only echoing within one group.

Why Cohorts Stay Separate

Chorus does not believe that "smart money" is one thing. Funds, makers, teams, and fast traders all behave differently, and collapsing them into one blended wallet list hides that difference.

A maker leaning on inventory is not the same as broad cross-cohort agreement. Chorus exists to keep those cases separate until the market actually lines up.

Consensus States

The board is easier to use when the operator can name the state:

  • isolated: one cohort is moving, everyone else is absent
  • building: two cohorts are starting to agree
  • broad: multiple cohorts are aligned on the same name and direction
  • crowded: agreement exists, but the move is too late to treat cleanly

How It Works

Chorus turns wallet activity into an interpretable conviction state:

  1. split the tracked wallets into separate cohorts
  2. weight the wallets by tier instead of treating every address equally
  3. measure whether the same token and direction are appearing across cohorts
  4. convert that alignment into a consensus state the operator can understand
  5. print the names where agreement is broad enough to matter

This is why Chorus is more readable than a flat wallet tape. It preserves structure before it blends anything together.

What The Operator Learns From Chorus

The board is trying to answer three practical questions:

  • who moved first
  • who confirmed the move after that
  • whether the agreement is becoming broader or only louder

That is much more useful than a flat list of wallet buys.

Example Output

CHORUS // CONSENSUS SNAPSHOT

lead token        JUP
agreement score   0.79
active cohorts    makers, funds, traders
state             broad
late crowding     low

operator note: alignment is real across more than one cohort, not just one pocket

Technical Spec

Chorus computes agreement in two layers:

Tier Weight

tier1 = 3

tier2 = 2

tier3 = 1

Cohort Bonus

market_maker = 1.2

fund = 1.1

team = 1.0

trader = 0.9

Consensus Score

consensusScore = agreeingWeight / totalTrackedWeight

Signals strengthen when multiple cohorts align. A single cohort can still be useful, but broad cross-cohort agreement is treated as the higher-conviction state.

When Chorus Should Demote A Signal

  • only one cohort is active and everyone else is absent
  • agreement exists, but comes too late after the move is obvious
  • the same small cluster keeps appearing without broader confirmation
  • team or maker activity looks more like inventory management than conviction

Risk Controls

  • cohort separation: prevents one group from impersonating broad agreement
  • tier weighting: stops low-quality wallet clusters from dominating the score
  • late crowding check: downgrades names where agreement arrives too late
  • consensus threshold: requires enough aligned weight before promoting a signal

Why Chorus Works On Busy Days

Wallet tracking becomes unreadable when every feed just dumps buys and sells into one stream. Chorus keeps the interpretation layer intact.

That means the operator can tell the difference between real agreement and one noisy wallet pocket dragging attention around.

Quick Start

git clone https://github.com/ChorusSignals/Chorus
cd Chorus
npm install
cp .env.example .env
npm run dev

Local Audit Docs

Support Docs

License

MIT

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