89 lines
5.4 KiB
TOML
89 lines
5.4 KiB
TOML
# audit-go-mev.toml
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description = "Run a comprehensive security, correctness, performance & architecture audit on a Go-based MEV arbitrage bot (optionally including Solidity contracts)."
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[command.parameters]
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repo_url = { type = "string", required = true, description = "Git repository URL of the MEV bot (HTTPS or SSH)" }
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ref = { type = "string", required = false, default = "main", description = "Branch, tag, or commit SHA to check out" }
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include_solidity = { type = "bool", required = false, default = false, description = "If true, also audit Solidity contracts present in the repo" }
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fuzz_time = { type = "string", required = false, default = "1h", description = "Duration to run Go fuzzing (e.g. '30m', '2h')" }
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tools = { type = "string", required = false, description = "Comma-separated tool overrides (e.g. gosec,govulncheck,slither,forge,echidna)" }
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[command.run]
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prompt = """
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You are an expert auditor and test orchestrator.
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When invoked as `/audit-go-mev repo_url={repo_url} ref={ref} include_solidity={include_solidity} fuzz_time={fuzz_time} tools={tools}`, do the following:
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1. **Clone & prepare**
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- `git clone {repo_url}`
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- `cd` into the repo, `git checkout {ref}`
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- Detect if there is a `contracts/` directory or solidity files only if `include_solidity` = true.
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2. **Go static & dependency analysis**
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- Run `gosec ./...`
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- Run `govulncheck ./...`
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- Run `golangci-lint run ./...` (or selected linters)
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- Collect and report any critical or high-severity findings (file:line, description, suggested fix)
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- Run `go list -m all` and flag modules with known vulnerabilities or unmaintained status.
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3. **Go tests & runtime checks**
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- Run `go test -v -race ./...`
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- Under a load simulation, collect CPU and heap profiles (via `go test -bench . -cpuprofile cpu.prof -memprofile mem.prof`)
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- Identify race conditions, panics, deadlocks, goroutine leaks.
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4. **Go fuzzing**
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- Identify or create fuzz test targets (e.g., for RPC response parsing, ABI decoding, signed-tx parser).
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- Run `go test -fuzz=Fuzz -fuzztime={fuzz_time} ./...`
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- Save crashing inputs and minimized repro cases; include them in output.
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5. **Transaction & signing review**
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- Inspect nonce manager logic, especially handling of `nonce too low / too high` errors
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- Check EIP-155 replay protection, chain ID, and v/r/s values
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- Review gas estimation, max gas caps, slippage checks
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- For Flashbots or bundle submission: simulate bundles and validate no unintended reverts or order exposure.
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6. **Concurrency, architecture & design**
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- Examine goroutine lifecycles and cancellation via `context.Context`
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- Check use of bounded worker pools, rate limiting, backoff retries
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- Ensure modular separation between mempool ingestion, strategy logic, RPC layer, and signer
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7. **Operational resilience & secrets**
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- Confirm private keys or mnemonics are never stored in code or configs
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- Validate use of secret manager or environment isolation
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- Review logging, tracing, metrics (latency, success/fail counts) and alerting thresholds
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- Evaluate CI/CD integration: static checks, test suite, fuzzing in pipelines
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8. **Solidity / contract audit** *(only if include_solidity = true)*
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- Run `slither .` and collect static vulnerability findings
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- Use Foundry/Forge: `forge test --fuzz` or `forge test`
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- Run `echidna-test` or similar property-based fuzzer with custom invariants
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- Report reentrancy, arithmetic flaws, unchecked calls, access control issues, token approval risks
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9. **Adversarial & scenario testing**
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- Simulate mempool-level adversary: malformed or malicious transactions, out-of-order inclusion
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- Simulate chain reorgs (1–3 blocks), test bot’s reaction and recovery
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- Test partial failures: tx revert mid-bundle, gas spikes, node timeouts
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- Run economic stress: extreme slippage, liquidity depletion, oracle manipulation
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10. **Reporting & deliverables**
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- Produce JSON (or structured) output with:
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* `executive_summary` — high-level risk posture and capital-at-risk estimate
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* `findings` — list of issues: title, severity (Critical / High / Medium / Low / Info), description, evidence, suggested patch/fix, file:line references
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* `repro_scripts` — shell / docker / anvil / forge commands to reproduce issues
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* `fuzz_corpus` — list of seeds/crashing inputs with descriptions
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* `ci_snippets` — YAML or workflow pieces to embed checks in CI
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- In your response, show the **top ~20 highest-severity findings inline**, then include the full listing in `findings`
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- Also output a short remediation checklist (5 immediate steps) and recommended continuous audit cadence
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**Important constraints**:
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- Never request private keys; if signing is needed in reproduction flows, you must use a **stub or simulated signer** and instruct how real signer integration should replace it.
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- Prioritize automation: your prompt should produce runnable scripts the user can directly execute.
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- If the repository is very large, you may first generate a high-level summary and then run targeted scans (e.g. focus on modules touching signing, RPC, or contract adapters).
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- Format your output strictly as JSON (or whatever structured format your Qwen pipeline expects), so downstream tooling can parse and record it.
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Start now and deliver the full structured audit results.
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"""
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[command.output]
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format = "json"
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