Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/0xlayerghost/solidity-agent-kit/solidity-debugnpx skills add 0xlayerghost/solidity-agent-kit --skill solidity-debuggit clone --depth 1 https://github.com/0xlayerghost/solidity-agent-kitWhat it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5 | $0.00057 | $0.01315 |
| Opus 5 | $0.00028 | $0.00658 |
| Sonnet 5 | $0.00011 | $0.00263 |
| Haiku 4.5 | $0.00006 | $0.00131 |
Grade A, and why
solidity-debug scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
This is a copy
100% identical to solidity-debug — 1 line differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 120 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Failed Transaction Debug Workflow
Language Rule
- Always respond in the same language the user is using. If the user asks in Chinese, respond in Chinese. If in English, respond in English.
Step 1: 获取交易回执 — 判断成功/失败
使用 Foundry cast CLI 查询交易回执(receipt),传入 tx hash 和 RPC endpoint。
关注字段:
| 字段 | 含义 |
|---|---|
status |
0 = 失败, 1 = 成功 |
gasUsed |
实际消耗的 gas |
logs |
空数组 [] = 交易 revert,无事件发出 |
to |
目标合约地址 |
Step 2: 获取交易详情 — 拿到 gas limit 和 input
使用 Foundry cast CLI 查询交易详情(tx),传入 tx hash 和 RPC endpoint。
关注字段:
| 字段 | 含义 |
|---|---|
gas |
发送方设置的 gas limit |
input |
调用的 calldata(函数选择器 + 参数编码) |
from / to |
发送方和目标合约 |
value |
发送的原生代币数量 |
Step 3: 判断失败类型 — gasUsed vs gas limit
| 现象 | 判断 | 解决方向 |
|---|---|---|
| gasUsed / gas ≈ 100%(如 999,472 / 1,000,000) | Out of Gas (OOG) | 提高 gas limit 或估算 gas |
| gasUsed 远低于 gas limit(如 50,000 / 1,000,000) | Revert | 需获取 revert reason,见 Step 6 |
| gasUsed 正常但 status=0 | 内部调用失败 | 检查余额、授权、内部 call 返回值 |
| 交易根本没上链 | Nonce/Gas Price 问题 | 检查 pending 队列 |
Step 4: 解码函数选择器 — 确定调用了什么函数
使用 Foundry cast 的 4byte 功能,传入 input 的前 4 字节,查询对应的函数签名。
示例:输入 0xb51a038a → 输出 unstake(uint256,address[],uint256[])
Step 5: 解码完整 calldata — 还原调用参数
使用 Foundry cast 的 calldata-decode 功能,传入 Step 4 得到的函数签名和完整 input data。
解码后的参数可用于:
- 分析入参是否有误
- 直接用于重试交易
Step 6: 获取 Revert Reason(非 OOG 场景)
| 方法 | 说明 |
|---|---|
| 模拟调用 | 使用 Foundry cast call 在失败区块号上模拟,指定 from 地址和 block number,还原 revert 信息 |
| 重放交易 | 使用 Foundry cast run 重放交易(需要 archive 节点) |
| 在线分析平台 | 使用第三方交易分析平台查看详细调用栈(备用方案) |
Step 7: 查询链上状态 — 确认交易失败后数据已回滚
使用 Foundry cast call 查询合约的 public 变量和 mapping,传入合约地址、函数签名及参数。
对于 struct 类型返回值,需按 ABI 顺序指定返回类型。
失败交易的状态变更会完全回滚,需确认数据仍在原始状态。
Step 8: 对比成功 vs 失败交易 — 找差异
将成功和失败的交易放在一起对比:
| 对比维度 | 说明 |
|---|---|
| gas 消耗 | 判断是否 OOG |
| 调用参数 | 判断是否入参问题 |
| 目标地址 | 判断是否调错合约 |
| 区块时间 | 判断是否有时间锁等限制 |
| 合约状态 | 判断是否前置条件不满足 |
Step 9: 重试交易
| 场景 | 方法 |
|---|---|
| 正常重试 | 使用 Foundry cast send,不指定 gas limit(让节点自动估算) |
| 已知消耗范围 | 使用 Foundry cast send,指定较高 gas limit |
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- yesterday First seen · 120 lines · 57 tokens per session scan A c0e72b74de1a
solidity-debug is a skill published in the GitHub repository 0xlayerghost/solidity-agent-kit (4 stars, last pushed 21d ago), licensed MIT. It adds 57 tokens to every session and 1,315 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to solidity-debug, differing in 1 line, and is treated as a copy.
Other skills, from other repositories
web3-bug-classes
Complete reference for all 10 DeFi smart contract bug classes. Use this when hunting for specific vulnerability types, need attack patterns for accounting desync, access control, incomplete path, off-by-one, oracle manipulation, ERC4626 vaults, reentrancy, flash loans, signature replay, or proxy/upgrade bugs.
web3-methodology-research
External research synthesis from Trail of Bits, SlowMist, ConsenSys, Immunefi, and Cyfrin. Use this for advanced audit methodology, Echidna/Medusa fuzzing setup, Slither custom detector writing, attack pattern deep dives, or the 4-phase learning roadmap.
web3-poc-foundry
Complete Foundry PoC writing guide + all cheatcodes + DeFiHackLabs reproduction patterns. Use this when building a proof of concept exploit, setting up a fork test, using Foundry cheatcodes, or reproducing a known DeFi hack for learning.
web3-triage-report
Bug triage validation system, Immunefi report format, and 20 real paid bounty examples dissected. Use this when validating a finding before submitting, writing an Immunefi report, checking if a bug is actually valid, or studying real examples of paid vulnerabilities.
web3-case-study-role-misconfig
Case study - role misconfiguration bug class applied to a yield aggregator protocol. Use as a template for applying all 10 bug classes to a single target.
web3-grep-arsenal
Master grep command arsenal for Web3 smart contract auditing. Use when starting a new protocol scan, before deep code review, or when hunting specific vulnerability classes.