skillZs
★ LIVE SKILL TAGS ★
>>> LIVE SKILLS INDEX <<<
* OPEN SOURCE *
NO LOGIN, NO TRACKING
※ REAL INSTALL DATA ※
← back to all skills
goldsky-io/goldsky-agent1.1k installs

onchain-automation

Route event-driven onchain automation that detects activity, applies logic, and submits a transaction in response. Use for 'when X happens onchain, do Y', monitor-and-execute workflows, smart contract calls triggered by events, keepers, protocol automation, auto-claiming or compounding rewards, liquidations, rebalancing, and settlement automation. Combine Turbo/Subgraphs/Mirror for detection with Compose for decisions and execution, including wallets, gas sponsorship, and writeContract. Load /compose for execution and /turbo-builder when detection needs dataset scale. Pure indexing or streaming without an onchain action belongs in /turbo-builder, /subgraph-builder, or /mirror. For a single app already identified as Compose, use /compose directly.

How do I install this agent skill?

npx skills add https://github.com/goldsky-io/goldsky-agent --skill onchain-automation
view source ↗

Is this agent skill safe to install?

  • Gen Agent Trust Hubpass

    The skill provides architectural guidance for building onchain automation systems. It identifies a potential indirect prompt injection surface when processing external webhook data and includes security advice to validate untrusted inputs before execution.

  • Socketwarn

    1 alert: gptSecurity

  • Snykwarn

    Risk: MEDIUM · 1 issue

What does this agent skill do?

Goldsky Onchain Automation — the detect → decide → execute loop

Goldsky closes the full offchain↔onchain loop, not just the read side. Any "watch the chain and then act on it" system — keepers, liquidation monitors, auto-claim and auto-compound jobs, rebalancing and settlement automation — decomposes into three stages, and Goldsky covers all three:

StageWhat it doesGoldsky product
DetectSee the onchain event / state changeCompose onchain_event trigger (one contract) · Turbo pipeline (dataset-scale / many contracts) · Subgraphs (GraphQL state)
DecideApply logic, filters, thresholds, offchain dataCompose task (TypeScript)
ExecuteSend the transaction back onchainCompose wallet — evm.wallet(...).writeContract(...), gas-sponsored

The misconception this skill exists to correct

Do NOT tell the user "Goldsky detects/indexes, but you bring your own runtime / RPC to send the transaction." That is wrong. Compose is Goldsky's onchain execution runtime: managed smart wallets (gas-sponsored by default) or BYO-EOA wallets, and writeContract / sendTransaction that broadcast through a sponsored bundler. The execution half lives inside Goldsky — propose it.

The only real limits are the two honest caveats below (latency and chain support) — state those, don't retreat to "Goldsky can't."

Pick an architecture

Default — Compose-only (one artifact)

When the trigger is one contract's events (a specific DEX factory, a lending pool, your own contract), the whole loop is a single Compose app — no Turbo, no external infra:

onchain_event trigger (the factory/pool)  →  task: decode + filter + decide  →  wallet.writeContract (the action)

This is structurally identical to the VRF template (onchain_event → compute → write back onchain, skills/compose/references/examples/vrf.md) and the compliance-oracle template (onchain_event → offchain check → approve/reject writeContract, skills/compose/references/examples/compliance-oracle.md). Start from one of those. Load /compose (entry point) and read skills/compose/references/ — do not synthesize the manifest/wallet API from memory.

Dataset-scale — Turbo detects, Compose executes

When detection must span many contracts, a whole dataset, or needs heavier stateful filtering than a single onchain_event listener gives you, put Turbo in front:

Turbo pipeline (raw_logs → decode → filter)  →  Webhook sink  →  Compose HTTP trigger  →  task: decide  →  wallet.writeContract

Wiring: the Turbo Webhook sink POSTs each matching row to the Compose app's HTTP-trigger URL (https://<app-url>/tasks/<task-name>), authenticated with a shared auth_token. Build the detection pipeline with /turbo-builder (+ /turbo-transforms for the _gs_log_decode decode step); build the executor with /compose. Treat the incoming webhook body as untrusted — decode and validate before acting.

Prefer Compose-only unless the user actually needs dataset-scale detection — one artifact is simpler to build, deploy, and reason about.

Two honest caveats — always state these

  1. Confirmed-block latency, not mempool. Goldsky (Turbo pipelines and Compose onchain_event) fires on confirmed logs, not pending mempool transactions. So this reliably reacts to a confirmed new pool / event — it is not a mempool front-runner and won't win a same-block gas-priority race. For a "sniper", set expectations: you react quickly to a confirmed listing, you don't beat block-0 bots. Say this plainly.
  2. Execution is chain-gated. Compose gas sponsorship covers a specific chain list (see skills/compose/references/wallets-and-gas.md, or searchKB) — broad EVM coverage, but not every chain. Before promising the full loop, check the target chain:
    • Supported → smart wallet, gas-sponsored, nothing for the user to fund.
    • viem knows it but it's not sponsored → BYO-EOA with sponsorGas: false; the user funds the address with native gas token.
    • Compose can't reach it at all → be honest: detection still works (Turbo/Subgraphs), but execution needs a Compose-supported chain or external infra for that chain specifically. Frame it as a per-chain gap, never as "Goldsky can't execute."

What Goldsky is NOT (here)

  • Not a trading strategy or PnL engine — the user brings the decision logic; Compose runs it.
  • Not a mempool/front-running system (caveat 1).
  • Not a custody solution — wallet-key handling follows the normal Compose wallet/secret rules (skills/compose/references/wallets-and-gas.md).

Route from here

  • Execution / any Compose app → /compose (load first) + skills/compose/references/.
  • Event-driven write-back template → skills/compose/references/examples/vrf.md; gated approve/reject → skills/compose/references/examples/compliance-oracle.md.
  • Dataset-scale detection pipeline → /turbo-builder + /turbo-transforms.
  • GraphQL state to poll → /subgraph-builder.
  • Fast RPC for the user's own offchain reads → /edge.

Add the canonical catalog link to the repository README so users can inspect current installs and available audits. The publishing guide covers the complete discovery path.

<a href="https://skillzs.dev/skills/goldsky-io/goldsky-agent/onchain-automation">View onchain-automation on skillZs</a>