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Agent Skill · 研究检索

address-screening-workflow-concepts(地址筛选工作流程概念)

address-screening-workflow-concepts 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 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。

address-screening-workflow-concepts 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为只读;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 70,604。

总安装 210周安装 9GitHub Stars 公开资料未说明下载 73核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
unknown

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:address-screening-workflow-concepts(地址筛选工作流程概念)
来源仓库:https://github.com/agentic-reserve/blockint-skills
仓库路径:skills/address-screening-workflow-concepts
安装命令:
npx skills add https://github.com/agentic-reserve/blockint-skills --skill address-screening-workflow-concepts
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 npx skills 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。

skills.shnpx skills
npx skills add https://github.com/agentic-reserve/blockint-skills --skill address-screening-workflow-concepts

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

提供地址筛查工作流程的概念性参考,适用于合规与风控场景。适合在 Codex、Claude、Cursor、Gemini CLI 中检索相关风险识别逻辑。聚焦于地址标签、标记机制及不同产品间的字段差异说明。为教育用途设计,实际规则请以官方文档为准,不可直接用于生产决策。

address-screening-workflow-concepts 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/address-screening-workflow-concepts

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add https://github.com/agentic-reserve/blockint-skills --skill addres…;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

address-screening-workflow-concepts 怎么安装?

在终端执行 npx skills add https://github.com/agentic-reserve/blockint-skills --skill address-screenin…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

address-screening-workflow-concepts 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

address-screening-workflow-concepts 需要什么权限?

权限级别是只读。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。

address-screening-workflow-concepts 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

address-screening-workflow-concepts 用的人多吗?

公开数据是累计安装 210 次,近一周安装 9 次,下载 73 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

address-screening-workflow-concepts 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 第三方扫描已通过,常见的高风险行为没有命中。
  • 标注为只读权限,试用阶段不容易误改本地文件。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。
  • 只想先试试效果、不希望它改动本地文件的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
address-screening-workflow-concepts

地址筛选工作流程概念 · 本页

210—只读未明确通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

Address screening workflow (concepts)

Educational reference only. Exact limits (row counts, credit rules, field names) vary by product and release—confirm in live documentation (phalcon-compliance-documentation for Phalcon Compliance). Pair with risk-exposure-screening-concepts and behavioral-risk-screening-concepts for what engines measure.

What is being screened?

Addresses usually mean wallets or contracts on specific chains. In a VASP or platform context, these are often customer or counterparty addresses that touch your service. Proactive screening is meant to surface high-risk entities early so teams can apply policy (review, block, escalate)—not to replace legal process or law-enforcement channels.

Tags vs markers

ConceptTypical role
TagsHuman-readable labels to distinguish addresses in the UI. Often split into default tags (from the provider’s curated or verified dataset) and user-defined tags. User-defined values commonly override defaults when both exist.
MarkersCategories by attribute or behavior (for example deposit address, frozen, VIP, pending review).

System markers (often immutable in the product):

  • Sourced from the provider’s risk or reference database (for example sanctioned, mixer—per vendor taxonomy).
  • May be non-editable in the UI.

Custom markers (tenant-defined):

  • Internal classifications your team adds.
  • Usually editable; products may cap total markers per address (for example system + custom combined ≤ 5—verify in docs).

Naming of fields differs by vendor; treat the table as pattern, not a spec.

Import and screening methods

Common operational paths:

  1. Single address — Enter an address; the product resolves chain metadata and pulls tags / system markers from its integrations, then you select it for ongoing screening.
  2. Bulk CSV — Upload many addresses using a template from the product (chain name, address, optional tag/marker/customer id).

Typical CSV-style columns (names vary):

FieldPurpose
ChainExact chain identifier required by the template
AddressOn-chain identifier
TagOptional private user tag
MarkerOptional custom marker
Customer IDOptional internal customer key (new or existing)

Bulk uploads often have a row limit per file (for example on the order of 100 addresses—confirm current limit). After import, review success/failure rows in the UI.

Address list

Screened addresses usually appear in a list with columns such as: address, risk summary, open alerts, last screened time, markers, customer, time added, rescreen status—exact columns depend on the product.

Address details page

Drilling into one address, products commonly expose:

  • Basic information — Entity/category (if modeled), chain, markers, tags, balances, aggregate inflow / outflow.
  • Risk summary — High-level rollup of triggered alerts.
  • Risk overview — Finer breakdown: identified risk types, exposure-style views (for example share of tainted notionals), lists of exposed or related addresses, and links to graph or trace tools where the product integrates them (vendor-specific).
  • Alerts — Filterable alert history for that address.
  • Audit log — Comments (collaboration) and system events (screening runs, risk changes, automation).

Common actions:

  • Rescreen — Force a fresh screening run (subject to product rules and credits).
  • Export KYA-style report — Pack address metadata and risk findings for internal or audit communication (not a substitute for regulatory filings).

Blacklist vs whitelist (policy lists)

Products often let operators put addresses on internal lists. Effects are policy- and product-specific; a common pattern looks like:

Blacklist (blocked / high-friction list):

  • May force a high internal severity (for example critical risk tier).
  • May skip ordinary periodic screening (to save credits) while still treating the address as blocked or escalated.
  • May disable automatic rescreen cycles.
  • May propagate severity to direct counterparties in some configurations (strong compliance implications—follow your program’s rulebook).

Whitelist (trusted / low-friction list):

  • May mark the address as no or low internal risk for policy purposes.
  • May exclude from standard engine passes and rescreen loops to save credits.

Caution: whitelist entries are operational decisions inside the tool—they do not change real-world illicit activity off-platform. Document approvals and review cadence.

Deleting an address

Removing an address from the inventory typically expires or closes alerts tied to that record in the product. It does not erase public-chain history. Confirm retention and audit requirements before deletion.

Guardrails

  • Do not paste production customer lists, CSVs, or internal IDs into public chats.
  • Do not assist with evading sanctions, mis-labeling peers, or gaming whitelist policies.
  • Prefer primary legal and sanctions sources for regulatory obligations; UI risk tiers are heuristics.

See also

  • transaction-screening-workflow-concepts — tx hash / transfer-level screening, deposit vs withdrawal, STR-style exports.

Goal: a portable mental model of address screening UIs and list semantics aligned with common compliance products, without binding a specific vendor implementation.

平台分布

Codex

37.27%
按下载量换算27

Claude

28.17%
按下载量换算21

Cursor

20.92%
按下载量换算15

Gemini CLI

9.56%
按下载量换算7

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

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。目前只有一个公开来源,建议同时核对源仓库。

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