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onchain-contract-token-a链上合约代币 a

Agent Skill

onchain-contract-token-a 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

6,792

周安装

283

GitHub Stars

公开资料未说明

下载量

2,264
OpenClaw

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

MIT-0

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:onchain-contract-token-a(链上合约代币 a)
来源仓库:https://github.com/0xrowan/onchain-contract-token-a
安装命令:
openclaw skills install onchain-contract-token-a
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install onchain-contract-token-a

简介

onchain-contract-token-a 用于分析智能合约、代币机制和链上项目风险,提供安全性和可行性评估。

  • 适用于区块链项目研究、投资决策或安全审计等需要深度链上分析的场合。
  • 支持权限检查、费用流追踪和可升级性评估,识别潜在攻击面。
  • 使用时需注意网络延迟和 API 调用限制,确保数据来源可靠。
  • 建议结合官方文档验证分析结果的准确性。

SKILL.md

name
onchain-contract-token-analysis
description
Analyze smart contracts, token mechanics, permissions, fee flows, upgradeability, market risks, and likely attack surfaces for onchain projects. Use when reviewing ERC-20s, launchpads, vaults, staking systems, LP fee routing, ownership controls, proxy setups, or suspicious token behavior.
user-invocable
true
metadata
{"openclaw":{"emoji":"🔍","skillKey":"onchain-contract-token-analysis"}}

Onchain Contract / Token Analysis

Use this skill when the task is to assess a token, protocol, launch module, vault, staking system, router, or related onchain project from a security, permissions, tokenomics, or behavior perspective.

Core objective

Produce a practical analysis that answers:

  • What the system does
  • Who controls it
  • How value and fees move
  • What privileged actions exist
  • What users can lose money from
  • Whether there are obvious red flags or design risks

Workflow

1. Identify the scope

First determine which of these the request actually targets:

  • token contract
  • factory / launcher
  • vault / staking / locker
  • router / hook / proxy / module
  • admin / governance / registry
  • full protocol system

If the scope is unclear, infer it from the files, addresses, ABI names, deployment scripts, or docs.

2. Map the architecture

Before judging risk, build a compact model of the system:

  • main contracts
  • ownership / admin roles
  • external dependencies
  • upgradeability pattern
  • event flow
  • token creation flow
  • fee routing flow

Prefer a short system map over long prose.

3. Check control and permissions

Always verify:

  • owner, admin, governor, operator, manager, signer
  • role-based access control
  • pausable / blacklist / whitelist powers
  • mint / burn / seize / rescue / withdraw permissions
  • parameter setters
  • upgrade authority
  • emergency functions

Call out who can do what, and whether those powers are bounded or dangerous.

4. Check token mechanics

For ERC-20 and tokenized systems, verify:

  • total supply model
  • mintability
  • burnability
  • transfer restrictions
  • fee on transfer / tax
  • max wallet / max tx rules
  • trading enable switch
  • blacklist / antibot logic
  • rebasing / reflection / hidden balance logic
  • allowance edge cases

If the token claims to be standard, confirm whether behavior actually matches that claim.

5. Check fee and value flow

Trace where user funds or protocol fees go:

  • LP fee recipients
  • treasury recipients
  • locker / vault recipients
  • protocol fee splits
  • conversion / swap path
  • withdrawal path
  • claim path

Do not just name recipients. Explain whether they are:

  • immutable
  • admin-changeable
  • delayed
  • claim-based
  • dependent on offchain identity or signatures

6. Check upgradeability and mutability

If proxies or modules exist, verify:

  • proxy type
  • implementation admin
  • initialization safety
  • reinitialization protection
  • storage layout assumptions
  • upgrade trust model

If not upgradeable, still check whether behavior can change through configurable modules.

7. Check attack surface

Look for:

  • arbitrary external calls
  • reentrancy opportunities
  • unchecked token callbacks
  • unsafe approvals
  • signature replay
  • missing nonce / deadline checks
  • address(0) edge cases
  • misconfigured recipient logic
  • accounting mismatch
  • stale state after recipient updates
  • rounding leakage
  • griefing / denial-of-service vectors

When risk depends on business assumptions, state that explicitly.

8. Check market-facing risk

When the target is a token or launch flow, explicitly assess:

  • honeypot-like behavior
  • sell restrictions
  • hidden tax changes
  • admin ability to freeze exits
  • liquidity custody
  • locker guarantees
  • whether front-end labels could misclassify the asset

Do not overclaim. Distinguish:

  • confirmed malicious logic
  • dangerous centralization
  • poor design
  • heuristic / market-behavior false positives

Output format

Default to this structure:

Summary

One short paragraph stating what the system is and the top conclusion.

Findings

List issues in severity order:

  • severity
  • title
  • affected contract / function
  • why it matters
  • exploit or failure mode
  • whether it is confirmed or conditional

Trust model

State:

  • who controls upgrades
  • who controls fees
  • who controls pauses or restrictions
  • what users must trust offchain

Token / fee flow

Explain:

  • how tokens are created
  • where fees accrue
  • who can claim them
  • what can change later

Open questions

List anything blocked by missing source, missing ABI, missing deployment info, or offchain dependencies.

Special guidance

When reviewing a suspicious token

Be precise:

  • "can blacklist holders" is stronger than "looks risky"
  • "owner can change tax" is stronger than "may be a scam"
  • "no onchain sell restriction found" is stronger than "not a honeypot"

When reviewing a launch module

Always distinguish:

  • launcher logic
  • underlying token implementation
  • LP locker behavior
  • fee locker behavior
  • who receives economic rights

When chain data is required

If the task depends on live state, verify with current chain or explorer data instead of assuming from source alone.

Do not

  • Do not call something malicious without code-based support
  • Do not confuse admin centralization with exploitability
  • Do not ignore offchain identity dependencies when they control payouts
  • Do not stop at contract syntax; trace actual economic outcomes

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

OpenClaw

73.26%
按下载量换算1,659

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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