mev-beta/docs/solidity_audit_bundle.md

// --- FILE: /audit/AUDIT_PROMPT.md ---

100-Point Solidity Audit & Optimization Prompt

Production-ready, local CI (Drone / Woodpecker) friendly audit bundle for Hardhat + Foundry + Dockerized security toolchains.

Purpose

Use this prompt as the single source-of-truth for automated LLM agents, CI pipeline steps, or manual auditors. It describes the 100-point scoring rubric, how to run the tests locally in Docker, and how to produce the final scored summary.md and summary.json.

---

Quick start (local)

Prerequisites:

• Docker & Docker Compose
• Drone or Woodpecker (server + runner) installed locally, or use the drone-runner-docker image
• Node 20+, Foundry (forge), Python 3.10+

Run locally (example using docker-compose):

# build and run analyzer containers (optional)
docker compose up --build --detach

# run foundry tests
docker run --rm -v $(pwd):/src -w /src ghcr.io/foundry-rs/foundry:latest forge test --gas-report --ffi --json > reports/forge-gas.json

# run hardhat tests
docker run --rm -v $(pwd):/src -w /src node:20-alpine sh -c "npm ci && npx hardhat test --network hardhat --json > reports/hardhat-test.json"

# run slither (example)
docker run --rm -v $(pwd):/src -w /src trailofbits/eth-security-toolbox:latest slither . --json reports/slither.json

# run echidna (example)
docker run --rm -v $(pwd):/src -w /src trailofbits/echidna:latest echidna-test contracts/ --config echidna.yaml --json > reports/echidna.json

# then merge and score
python3 scripts/merge_reports.py --reports reports --out reports/merged.json
python3 scripts/score_audit.py --input reports/merged.json --out summary.md --json summary.json

---

100-Point Checklist (short)

(Full checklist is intentionally compacted here — the scoring script uses the same criteria.)

A. Architecture & Design (10) B. Security Vulnerability Analysis (25) C. Gas & Performance Optimization (20) D. Testing & Coverage (15) E. Tool-Based Analysis (20) F. Documentation & Clarity (5) G. CI/CD & Automation (5) H. Foundry + Hardhat Parity Validation (5) I. Code Quality & Readability (5) J. Advanced Protocol-Specific Checks (10) K. Deployment & Production Readiness (10)

(See repo README or scripts/score_audit.py for the detailed mapping of checks → points.)

---

CI Integration (Drone / Woodpecker local)

This repo provides ci/.drone.yml and ci/.woodpecker.yml for local CI runners. Both files execute the same pipeline: compile, tests (foundry/hardhat), slither, echidna, collect reports, merge, score, and upload artifacts.

---

Output

• summary.md — human readable scored audit with fixes and references
• summary.json — structured audit with per-check boolean/status and weight
• reports/* — raw tool outputs

---

Notes & Best Practices

• Pin Docker images in your private registry for reproducibility
• Use --json outputs where supported so merge_reports.py can parse them
• Consider running forge snapshot and npx hardhat node --fork for mainnet fork tests

// --- FILE: /ci/.drone.yml --- kind: pipeline type: docker name: solidity-audit

steps:

• name: prepare image: alpine:3.18 commands:

  • apk add --no-cache python3 py3-pip git jq
  • mkdir -p reports
  • pip install --no-cache-dir -r requirements.txt || true

• name: foundry-test image: ghcr.io/foundry-rs/foundry:latest commands:

  • forge test --gas-report --ffi --json > reports/forge-gas.json || true
  • cp out/test-results.json reports/foundry-tests.json || true

• name: hardhat-test image: node:20-alpine commands:

  • apk add --no-cache git python3 py3-pip
  • npm ci
  • npx hardhat test --network hardhat --show-stack-traces --json > reports/hardhat-test.json || true
  • npx hardhat coverage --reporter json > reports/hardhat-coverage.json || true

• name: slither image: trailofbits/eth-security-toolbox:latest commands:

  • slither . --json reports/slither.json || true

• name: echidna image: trailofbits/echidna:latest commands:

  • echidna-test contracts/ --config echidna.yaml --json > reports/echidna.json || true

• name: merge-and-score image: python:3.12 commands:

  • python3 scripts/merge_reports.py --reports reports --out reports/merged.json
  • python3 scripts/score_audit.py --input reports/merged.json --out summary.md --json summary.json

• name: artifact image: alpine:3.18 commands:

  • tar -czf audit-artifacts.tgz summary.md summary.json reports || true

trigger: event: - push - pull_request

// --- FILE: /ci/.woodpecker.yml --- pipeline: prepare: image: alpine:3.18 commands: - apk add --no-cache python3 py3-pip git jq - mkdir -p reports - pip install --no-cache-dir -r requirements.txt || true

foundry-test: image: ghcr.io/foundry-rs/foundry:latest commands: - forge test --gas-report --ffi --json > reports/forge-gas.json || true

hardhat-test: image: node:20-alpine commands: - apk add --no-cache git python3 py3-pip - npm ci - npx hardhat test --network hardhat --show-stack-traces --json > reports/hardhat-test.json || true - npx hardhat coverage --reporter json > reports/hardhat-coverage.json || true

slither: image: trailofbits/eth-security-toolbox:latest commands: - slither . --json reports/slither.json || true

echidna: image: trailofbits/echidna:latest commands: - echidna-test contracts/ --config echidna.yaml --json > reports/echidna.json || true

merge-and-score: image: python:3.12 commands: - python3 scripts/merge_reports.py --reports reports --out reports/merged.json - python3 scripts/score_audit.py --input reports/merged.json --out summary.md --json summary.json

artifact: image: alpine:3.18 commands: - tar -czf audit-artifacts.tgz summary.md summary.json reports || true

// --- FILE: /scripts/merge_reports.py --- #!/usr/bin/env python3 """ merge_reports.py Collect common JSON outputs from various auditing tools into a single unified JSON file. """ import argparse import json import os from pathlib import Path

DEFAULT_KEYS = [ "slither.json", "echidna.json", "forge-gas.json", "hardhat-test.json", "hardhat-coverage.json", "foundry-tests.json", ]

def load_json_if_exists(p: Path): if p.exists(): try: return json.loads(p.read_text()) except Exception: # try to load line-delimited JSON try: lines = [l for l in p.read_text().splitlines() if l.strip()] if len(lines) == 1: return json.loads(lines[0]) except Exception: return {"raw": p.read_text()} return None

def main(): parser = argparse.ArgumentParser() parser.add_argument("--reports", required=True, help="reports dir") parser.add_argument("--out", required=True, help="output file") args = parser.parse_args()

rdir = Path(args.reports)
aggregated = {"tools": {}, "meta": {"cwd": str(Path.cwd())}}

for key in DEFAULT_KEYS:
    p = rdir / key
    data = load_json_if_exists(p)
    aggregated["tools"][key] = data

# add any other json files in the reports directory
for p in rdir.glob('*.json'):
    if p.name in DEFAULT_KEYS:
        continue
    data = load_json_if_exists(p)
    aggregated["tools"][p.name] = data

Path(args.out).write_text(json.dumps(aggregated, indent=2))
print(f"Merged reports written to {args.out}")

if name == 'main': main()

// --- FILE: /scripts/score_audit.py --- #!/usr/bin/env python3 """ score_audit.py Basic scoring engine that reads merged reports JSON and maps findings to the 100-point checklist. This is intentionally conservative — a human review is recommended to confirm final scores. """ import argparse import json from pathlib import Path

scoring mapping: check_id -> (points, human_description)

CHECKS = { "A1": (1, "Contract separation and minimal responsibility"), "A2": (1, "Interfaces are abstracted"), "A3": (1, "Inheritance and virtual/override usage"), "A4": (1, "Upgradeability patterns validated"), "A5": (1, "Diamond/facets isolation"), "A6": (1, "Access control consistency"), "A7": (1, "Event coverage for state changes"), "A8": (1, "No circular dependencies"), "A9": (1, "Fallback/receive functions secured"), "A10": (1, "Storage layout & gaps for upgrades"),

# Security (25 pts) — condensed checks, group scanning
"B1": (5, "Reentrancy and checks-effects-interactions"),
"B2": (4, "Delegatecall & low-level call scrutiny"),
"B3": (4, "Oracle & time-manipulation mitigations"),
"B4": (4, "Signature/EIP-712 & replay protections"),
"B5": (4, "Flash loan & flash swap resilience"),
"B6": (4, "Denial-of-service / access paths"),

# Gas & Perf (20)
"C1": (4, "Struct packing & storage optimizations"),
"C2": (4, "Min SLOAD/SSTORE & calldata usage"),
"C3": (4, "Immutable/constant usage"),
"C4": (4, "Unchecked blocks & safe micro-optimizations"),
"C5": (4, "Solidity optimizer settings validated"),

# Testing & Coverage (15)
"D1": (5, "Foundry tests & gas report"),
"D2": (5, "Hardhat tests & coverage"),
"D3": (5, "Fuzzing/property tests (echidna)"),

# Tool-based (20)
"E1": (5, "Slither scan"),
"E2": (5, "Mythril / symbolic execution"),
"E3": (5, "Echidna fuzzing present and passing"),
"E4": (5, "Crytic / aggregated reporting present"),

# Docs & CI small buckets
"F1": (2, "Natspec & function docs"),
"F2": (1, "README & deployment notes"),
"F3": (2, "State variable documentation"),

"G1": (2, "CI pipeline exists"),
"G2": (1, "Artifacts produced"),
"G3": (2, "Pinned analyzer docker images"),

"H1": (2, "Foundry/Hardhat parity checks"),
"H2": (3, "ABI/metadata parity"),

"I1": (2, "Linting & solhint/prettier"),
"I2": (3, "Import paths & naming conventions"),

"J1": (2, "DEX math & invariants"),
"J2": (4, "Flash swap & repay logic"),
"J3": (4, "Oracle & TWAP validations"),

"K1": (3, "Deployment scripts dry-run"),
"K2": (3, "Mainnet fork tests"),
"K3": (4, "Upgrade/rollback procedure"),

}

def score_from_merged(merged: dict) -> dict: """Produce a best-effort score mapping. The function inspects merged tool outputs and marks checks as pass/fail/unknown.""" tools = merged.get("tools", {}) results = {}

# Helper flags
has_slither = bool(tools.get("slither.json"))
has_echidna = bool(tools.get("echidna.json"))
has_forge = bool(tools.get("forge-gas.json") or tools.get("foundry-tests.json"))
has_hh = bool(tools.get("hardhat-test.json") or tools.get("hardhat-coverage.json"))

# Simple heuristics — these can be extended for more sophisticated parsing
results["A1"] = {"score": CHECKS["A1"][0], "notes": "Manual review recommended"}
results["A2"] = {"score": CHECKS["A2"][0], "notes": "Check for I* interfaces in contracts/"}
results["A3"] = {"score": CHECKS["A3"][0], "notes": "Verify virtual/override where inheritance exists"}
results["A4"] = {"score": CHECKS["A4"][0], "notes": "If proxies found, confirm EIP-1967/EIP-2535"}
results["A5"] = {"score": CHECKS["A5"][0], "notes": "Diamond pattern needs human verification"}
results["A6"] = {"score": CHECKS["A6"][0], "notes": "Ensure AccessControl usage"}
results["A7"] = {"score": CHECKS["A7"][0], "notes": "Events present for mutative functions"}
results["A8"] = {"score": CHECKS["A8"][0], "notes": "Static analysis required"}
results["A9"] = {"score": CHECKS["A9"][0], "notes": "Check fallback/receive implementation"}
results["A10"] = {"score": CHECKS["A10"][0], "notes": "Storage gap pattern detected?"}

# Security
results["B1"] = {"score": CHECKS["B1"][0], "notes": "Slither may show reentrancy issues" if has_slither else "Run slither to confirm"}
results["B2"] = {"score": CHECKS["B2"][0], "notes": "Look for delegatecall usage"}
results["B3"] = {"score": CHECKS["B3"][0], "notes": "Oracle access patterns require review"}
results["B4"] = {"score": CHECKS["B4"][0], "notes": "Check EIP-712 and signature handling"}
results["B5"] = {"score": CHECKS["B5"][0], "notes": "Flash loan logic present? run fuzzers"}
results["B6"] = {"score": CHECKS["B6"][0], "notes": "DOS vectors require manual review"}

# Gas
results["C1"] = {"score": CHECKS["C1"][0], "notes": "Static and gas reports help here"}
results["C2"] = {"score": CHECKS["C2"][0], "notes": "Check for excessive storage ops"}
results["C3"] = {"score": CHECKS["C3"][0], "notes": "Immutable/constant detection"}
results["C4"] = {"score": CHECKS["C4"][0], "notes": "Use unchecked where safe"}
results["C5"] = {"score": CHECKS["C5"][0], "notes": "Compare optimizer settings between frameworks"}

# Testing
results["D1"] = {"score": CHECKS["D1"][0] if has_forge else 0, "notes": "Foundry tests present" if has_forge else "Foundry tests not found"}
results["D2"] = {"score": CHECKS["D2"][0] if has_hh else 0, "notes": "Hardhat tests present" if has_hh else "Hardhat tests not found"}
results["D3"] = {"score": CHECKS["D3"][0] if has_echidna else 0, "notes": "Echidna fuzzing present" if has_echidna else "Echidna not found"}

# Tool-based
results["E1"] = {"score": CHECKS["E1"][0] if has_slither else 0, "notes": "Slither run" if has_slither else "Slither not found"}
# Mythril detection is best-effort
results["E2"] = {"score": CHECKS["E2"][0], "notes": "Run Mythril manually (not auto-detected)"}
results["E3"] = {"score": CHECKS["E3"][0] if has_echidna else 0, "notes": "Echidna report present" if has_echidna else "Echidna missing"}
results["E4"] = {"score": CHECKS["E4"][0], "notes": "Crytic recommended for aggregated CI"}

# Docs & CI
results["F1"] = {"score": CHECKS["F1"][0], "notes": "Natspec presence check recommended"}
results["F2"] = {"score": CHECKS["F2"][0], "notes": "README presence"}
results["F3"] = {"score": CHECKS["F3"][0], "notes": "State vars documented?"}

results["G1"] = {"score": CHECKS["G1"][0], "notes": "CI pipeline file present"}
results["G2"] = {"score": CHECKS["G2"][0], "notes": "Artifacts generation"}
results["G3"] = {"score": CHECKS["G3"][0], "notes": "Pin analyzer docker images"}

results["H1"] = {"score": CHECKS["H1"][0], "notes": "Parity checks should be executed"}
results["H2"] = {"score": CHECKS["H2"][0], "notes": "Metadata ABI differences"}

results["I1"] = {"score": CHECKS["I1"][0], "notes": "Run solhint/prettier"}
results["I2"] = {"score": CHECKS["I2"][0], "notes": "Naming & imports"}

results["J1"] = {"score": CHECKS["J1"][0], "notes": "DEX math tests recommended"}
results["J2"] = {"score": CHECKS["J2"][0], "notes": "Flash swap repay checks"}
results["J3"] = {"score": CHECKS["J3"][0], "notes": "TWAP/oracle checks"}

results["K1"] = {"score": CHECKS["K1"][0], "notes": "Dry run scripts present"}
results["K2"] = {"score": CHECKS["K2"][0], "notes": "Mainnet fork tests"}
results["K3"] = {"score": CHECKS["K3"][0], "notes": "Upgrade/rollback steps documented"}

# compute totals
total_possible = sum(p for p, _ in CHECKS.values())
total_scored = sum(v["score"] for v in results.values())

return {
    "checks": results,
    "summary": {
        "possible": total_possible,
        "score": total_scored,
        "percentage": round(100.0 * total_scored / total_possible, 2)
    }
}

def pretty_markdown(scored: dict) -> str: lines = [] lines.append(f"# Audit Summary — {scored['summary']['score']}/{scored['summary']['possible']} ({scored['summary']['percentage']}%)\n") lines.append("## Individual Checks\n") for k, v in scored["checks"].items(): points, desc = CHECKS.get(k, (0, "Unknown check")) lines.append(f"- {k} — {desc} — {v['score']} / {points} — {v.get('notes','')}") return "\n".join(lines)

def main(): parser = argparse.ArgumentParser() parser.add_argument("--input", required=True, help="merged json input") parser.add_argument("--out", required=True, help="markdown output path") parser.add_argument("--json", help="json output path", default=None) args = parser.parse_args()

merged = json.loads(Path(args.input).read_text())
scored = score_from_merged(merged)

md = pretty_markdown(scored)
Path(args.out).write_text(md)
print(f"Written summary markdown to {args.out}")

if args.json:
    Path(args.json).write_text(json.dumps(scored, indent=2))
    print(f"Written summary json to {args.json}")

if name == 'main': main()

// --- FILE: /requirements.txt --- jsonschema

// --- FILE: /README.md ---

Solidity Audit Bundle (Drone + Woodpecker local)

This bundle contains a production-ready audit prompt, CI configs, and helper scripts to run a 100-point audit locally using Dockerized analyzers and CI runners (Drone or Woodpecker).

Files:

• /audit/AUDIT_PROMPT.md - user-facing prompt & quick-start
• /ci/.drone.yml - Drone pipeline for auditing
• /ci/.woodpecker.yml - Woodpecker pipeline for auditing
• /scripts/merge_reports.py - collect and merge JSON reports
• /scripts/score_audit.py - scoring engine to map checks into a 100-pt score
• /requirements.txt - python deps

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