Aomi Transact

Aomi Transact

Overview

This public intake copy packages plugins/antigravity-awesome-skills-claude/skills/aomi-transact from https://github.com/sickn33/antigravity-awesome-skills into the native Omni Skills editorial shape without hiding its origin.

Use it when the operator needs the upstream workflow, support files, and repository context to stay intact while the public validator and private enhancer continue their normal downstream flow.

This intake keeps the copied upstream files intact and uses the external_source block in metadata.json plus ORIGIN.md as the provenance anchor for review.

Aomi Transact > Authorized use only. This skill signs and broadcasts on-chain transactions on the user's behalf. The user must explicitly request each signing step. The skill will not run aomi tx sign without an explicit user request and a corresponding tx-N queued by aomi tx list. > > Signing gate. Do not include aomi tx sign in a copied or runnable multi-command block. Stop after listing or simulating queued transactions, summarize the tx ids, chain, value, recipient, calldata purpose, and simulation result, then ask the user for an explicit signing instruction such as sign tx-1. Only run the exact signing command after that separate approval.

Imported source sections that did not map cleanly to the public headings are still preserved below or in the support files. Notable imported sections: Limitations, Authorization Disclaimer, Source.

When to Use This Skill

Use this section as the trigger filter. It should make the activation boundary explicit before the operator loads files, runs commands, or opens a pull request.

• The user wants to chat with the Aomi agent from the terminal.
• The user wants balances, prices, routes, quotes, or transaction status.
• The user wants to build, simulate, confirm, sign, or broadcast wallet requests.
• The user wants to simulate a batch of pending transactions before signing.
• The user wants to inspect or switch apps, models, chains, or sessions.
• The user wants to inspect or change Account Abstraction settings (EIP-7702 / ERC-4337).

Operating Table

Workflow

This workflow is intentionally editorial and operational at the same time. It keeps the imported source useful to the operator while still satisfying the public intake standards that feed the downstream enhancer flow.

1. Confirm the user goal, the scope of the imported workflow, and whether this skill is still the right router for the task.
2. Read the overview and provenance files before loading any copied upstream support files.
3. Load only the references, examples, prompts, or scripts that materially change the outcome for the current request.
4. Execute the upstream workflow while keeping provenance and source boundaries explicit in the working notes.
5. Validate the result against the upstream expectations and the evidence you can point to in the copied files.
6. Escalate or hand off to a related skill when the work moves out of this imported workflow's center of gravity.
7. Before merge or closure, record what was used, what changed, and what the reviewer still needs to verify.

Imported Workflow Notes

Imported: Overview

aomi-transact is a procedure for driving the Aomi CLI (@aomi-labs/client) from natural-language prompts. The user types something like "swap 1 ETH for USDC on Uniswap"; the agent picks the right protocol and contract, stages the approve+swap as a batch, simulates it on a forked chain, and returns a queued wallet request for the user to sign. The wallet only ever sees calldata that already passed simulation.

The CLI is account-abstraction-first: by default it signs through a zero-config Alchemy proxy (no provider credentials needed), using EIP-7702 on Ethereum mainnet and ERC-4337 on L2s. Each aomi <subcommand> invocation starts, runs, and exits — there is no long-running process.

The full skill including references (account-abstraction.md, apps.md, examples.md, session.md, troubleshooting.md, drain-vectors.md), templates (aomi-workflow.sh), and per-host metadata (agents/openai.yaml) lives upstream at aomi-labs/skills. This entry is the canonical SKILL.md only — clone the upstream for the full bundle.

Imported: Limitations

• Requires @aomi-labs/client v0.1.30 or newer. Older versions lack --aa, --aa-provider, --aa-mode and the simulation gate. Install with npm install -g @aomi-labs/client or run on demand via npx @aomi-labs/client@0.1.30 ....
• Active backend connection. The skill drives a CLI that talks to api.aomi.dev. Without network access, only local read commands (aomi tx list, aomi session log) work.
• AA sponsorship on L2s is not guaranteed. The zero-config proxy path does not reliably sponsor on Base/Arbitrum/Optimism in v0.1.30. If the EOA has 0 native gas on the destination chain, aomi tx sign returns viem's insufficient funds for transfer. Either fund the EOA with a small amount of native gas, or configure a real BYOK Alchemy/Pimlico provider with a sponsorship policy. Do not retry with --eoa — that path also needs gas.
• Per-session secret ingestion. Apps that require provider tokens (binance, polymarket, dune, etc.) must have credentials configured by the user in their own shell or via aomi secret add NAME=<value>. The skill never sets credentials on its own initiative.
• Drain vectors are guard-blocked. The agent rejects calldata where recipient/onBehalfOf/mintRecipient ≠ msg.sender. This is a security feature, not a bug — surface the block to the user rather than reformulating the prompt.
• Network/RPC failures. Public RPCs may rate-limit (429) or fail auth (401). The user must supply a reliable chain-matching RPC via --rpc-url for production signing.
• Slippage and deadlines on live transactions. Quotes from deadline-bearing routes (Across, Khalani fillers) can expire while the user is reviewing; the agent self-heals by rebuilding with fresh deadlines, but the user should re-check aomi tx list for the latest passing batch.

Examples

Example 1: Ask for the upstream workflow directly

Use @aomi-transact to handle <task>. Start from the copied upstream workflow, load only the files that change the outcome, and keep provenance visible in the answer.

Explanation: This is the safest starting point when the operator needs the imported workflow, but not the entire repository.

Example 2: Ask for a provenance-grounded review

Review @aomi-transact against metadata.json and ORIGIN.md, then explain which copied upstream files you would load first and why.

Explanation: Use this before review or troubleshooting when you need a precise, auditable explanation of origin and file selection.

Example 3: Narrow the copied support files before execution

Use @aomi-transact for <task>. Load only the copied references, examples, or scripts that change the outcome, and name the files explicitly before proceeding.

Explanation: This keeps the skill aligned with progressive disclosure instead of loading the whole copied package by default.

Example 4: Build a reviewer packet

Review @aomi-transact using the copied upstream files plus provenance, then summarize any gaps before merge.

Explanation: This is useful when the PR is waiting for human review and you want a repeatable audit packet.

Imported Usage Notes

Imported: Examples

Read-only — price check

aomi --prompt "what is the price of ETH?" --new-session

Returns a quote with no wallet request queued. Use aomi tx list to confirm there's nothing pending.

Single-tx flow — Lido stake

aomi chat "Stake 0.01 ETH with Lido to get stETH" \
  --public-key 0xUserAddress --chain 1 --new-session
aomi tx list

submit(address(0)) on Lido stETH 0xae7ab96520DE3A18E5e111B5EaAb095312D7fE84, value = 0.01 ETH. No approve, single tx. Stop here, show the queued transaction details, and wait for the user's explicit instruction before signing.

Multi-step batch — Uniswap V3 swap

aomi chat "swap 1 USDC for WETH on Uniswap V3, send to my wallet" \
  --public-key 0xUserAddress --chain 1 --new-session
aomi tx list                        # tx-1 = approve, tx-2 = swap
aomi tx simulate tx-1 tx-2          # mandatory for multi-step

The simulator runs each tx sequentially on a forked chain so the swap step sees the approve's state changes. Don't sign step 2 independently — it would revert. Stop after simulation, summarize the batch, and wait for an explicit user instruction naming both tx ids before signing.

Cross-chain — CCTP Ethereum → Base

aomi chat "Bridge 50 USDC from Ethereum to Base via CCTP. Recipient is my wallet." \
  --public-key 0xUserAddress --chain 1 --new-session
aomi tx list
aomi tx simulate tx-1 tx-2

Stop after simulation and wait for the user to explicitly approve signing the named tx ids. After signing, source-chain burn confirms in 1-2 blocks; destination mint requires Circle's off-chain attestation (~13-19 minutes).

Best Practices

Treat the generated public skill as a reviewable packaging layer around the upstream repository. The goal is to keep provenance explicit and load only the copied source material that materially improves execution.

• Default --new-session on the first command of a new task. Reusing it mid-task starts a fresh conversation and the agent loses the quote it just gave you.
• Always aomi tx list before aomi tx sign. Never assume a chat response queued a transaction.
• Always aomi tx simulate tx-1 tx-2 ... before signing a multi-step batch. Single-tx flows are simulation-optional but never wrong to simulate.
• Keep signing commands out of runnable examples. Show or run aomi tx sign only after the user gives a separate, explicit approval naming the exact queued tx-N ids.
• Sign only Batch [...] passed txs. Skip orphans from earlier failed attempts (failed at step N: 0x...).
• Match --rpc-url to the queued tx's chain, not the session chain (--chain) — they are independent controls.
• Never echo credential values. The skill confirms credential setup with handle name or derived address only.

Imported Operating Notes

Imported: Best Practices

• Default --new-session on the first command of a new task. Reusing it mid-task starts a fresh conversation and the agent loses the quote it just gave you.
• Always aomi tx list before aomi tx sign. Never assume a chat response queued a transaction.
• Always aomi tx simulate tx-1 tx-2 ... before signing a multi-step batch. Single-tx flows are simulation-optional but never wrong to simulate.
• Keep signing commands out of runnable examples. Show or run aomi tx sign only after the user gives a separate, explicit approval naming the exact queued tx-N ids.
• Sign only Batch [...] passed txs. Skip orphans from earlier failed attempts (failed at step N: 0x...).
• Match --rpc-url to the queued tx's chain, not the session chain (--chain) — they are independent controls.
• Never echo credential values. The skill confirms credential setup with handle name or derived address only.

Troubleshooting

Problem: The operator skipped the imported context and answered too generically

Symptoms: The result ignores the upstream workflow in plugins/antigravity-awesome-skills-claude/skills/aomi-transact, fails to mention provenance, or does not use any copied source files at all. Solution: Re-open metadata.json, ORIGIN.md, and the most relevant copied upstream files. Check the external_source block first, then restate the provenance before continuing.

Problem: The imported workflow feels incomplete during review

Symptoms: Reviewers can see the generated SKILL.md, but they cannot quickly tell which references, examples, or scripts matter for the current task. Solution: Point at the exact copied references, examples, scripts, or assets that justify the path you took. If the gap is still real, record it in the PR instead of hiding it.

Problem: The task drifted into a different specialization

Symptoms: The imported skill starts in the right place, but the work turns into debugging, architecture, design, security, or release orchestration that a native skill handles better. Solution: Use the related skills section to hand off deliberately. Keep the imported provenance visible so the next skill inherits the right context instead of starting blind.

Related Skills

• @20-andruia-niche-intelligence - Use when the work is better handled by that native specialization after this imported skill establishes context.
• @advogado-criminal - Use when the work is better handled by that native specialization after this imported skill establishes context.
• @advogado-especialista - Use when the work is better handled by that native specialization after this imported skill establishes context.
• @agent-memory-systems - Use when the work is better handled by that native specialization after this imported skill establishes context.

Additional Resources

Use this support matrix and the linked files below as the operator packet for this imported skill. They should reflect real copied source material, not generic scaffolding.

Imported Reference Notes

Imported: Additional Resources

For the full skill including per-flow examples (CCTP bridge, Aave supply, Lido stake, Uniswap swap), AA mode reference, drain-vector table, troubleshooting guide, and the bash workflow template, see the upstream repo:

• Account Abstraction reference
• App catalog (25+ apps)
• Flow examples
• Drain-vector reference
• Troubleshooting
• aomi-workflow.sh template

Imported: Authorization Disclaimer

This skill can sign and broadcast on-chain transactions worth real value. Use only on accounts you own and on networks you trust. The skill does not custody funds; the user retains full control of signing keys via --public-key and the underlying wallet. Review every queued tx-N before running aomi tx sign.

Imported: Source

• Upstream: aomi-labs/skills — MIT licensed
• Author: Aomi Labs
• CLI: @aomi-labs/client on npm
• Security review: aomi-transact/SECURITY.md — OWASP AST01–AST10 walkthrough plus captured scanner reports