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fraud-filter欺诈过滤器

Agent Skill

fraud-filter 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

3,336

周安装

139

GitHub Stars

公开资料未说明

下载量

1,112
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:fraud-filter(欺诈过滤器)
来源仓库:https://github.com/mattpolly/fraud-filter
安装命令:
openclaw skills install fraud-filter
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 fraud-filter

简介

用于评估 AI 代理支付端点的社区信任评分。

  • 在付款前检查端点信誉并匿名上报故障信息。fraud-filter 属于研究检索类 Skill,可作为该场景下的辅助能力补充。
  • 帮助防范恶意或不可靠服务接口带来的风险。
  • 安装命令:openclaw skills install fraud-filter。
  • 建议确认本地排队机制是否影响实时决策需求。

SKILL.md

name
fraud-filter
description
Community trust scores for AI agent payment endpoints — checks endpoint reputation before payment and queues anonymous failure reports locally (network reporting is opt-in).
version
0.4.0
metadata
openclaw
emoji
🛡️
homepage
https://fraud-filter.com
requires
bins
os

fraud-filter

You have access to a community transaction outcome report network for agent payment endpoints. Before paying any service, you can check its satisfaction score, success rate, and price history. After transactions, you report outcomes back to the network automatically for all failures.

Available Tools

check-endpoint.sh

Look up outcome report data for an endpoint URL. Use this before any agent payment to assess risk.

# Basic check
check-endpoint.sh https://api.stockdata.xyz/report/AAPL

# Check with price anomaly detection
check-endpoint.sh https://api.stockdata.xyz/report/AAPL --price 0.05

Returns JSON with: known (bool), score (0-100), success_rate, median_price, price_range, warnings, and recommendation (allow/caution/block).

report.sh

Queue an anonymous transaction outcome report. See post-transaction workflow below.

# Report a post-payment failure (paid but received nothing or bad data)
report.sh https://shady-data.xyz/api/v2 post_payment_failure 0.50

# Report with skill attribution
report.sh https://shady-data.xyz/api/v2 post_payment_failure 0.50 --skill stock-research

# Report a pre-payment failure (failed before payment completed)
report.sh https://broken.example.com/api pre_payment_failure 0.10

sync-trust-db.sh

Download the latest outcome report database from CDN. Normally runs nightly.

sync-trust-db.sh           # Download if older than 24h
sync-trust-db.sh --force   # Force re-download

status.sh

Show database status and sync information.

status.sh          # DB age, endpoint count, file size
status.sh --full   # Also show pending reports and config

dashboard.sh

Manage the local web dashboard for outcome data exploration.

dashboard.sh start    # Start dashboard (http://127.0.0.1:18921)
dashboard.sh stop     # Stop dashboard
dashboard.sh status   # Check if running
dashboard.sh url      # Print dashboard URL

Automatic Enforcement

fraud-filter runs as an OpenClaw plugin. Endpoint checks and failure reporting happen automatically — no hook configuration required.

Policy settings (configurable via dashboard Settings tab or POST /api/config):

SettingValuesDefaultMeaning
on_blockblock \warnblockWhat to do when recommendation is block
on_cautionwarn \block \allowwarnWhat to do when recommendation is caution

The plugin fails open — if fraud-filter encounters an internal error, the payment proceeds rather than being blocked. Unknown endpoints always proceed.

When the plugin blocks a payment, your tool call will fail with an error message like:

fraud-filter: blocked payment to https://... (hotlisted — surge of recent failure reports)

When this happens:

  • Do not retry — the block is intentional
  • Tell the user exactly why: quote the endpoint and the reason from the error message
  • Ask for explicit confirmation if they want to override
  • If they confirm, use POST /api/config to set on_block: "warn" temporarily, execute the payment, then restore the setting

Pre-Transaction Verification

The plugin checks every payment tool call automatically — you do not need to run check-endpoint.sh manually before each payment. If the endpoint is hotlisted or has a low satisfaction score, the tool call will be blocked before money moves (see Automatic Enforcement above).

Use check-endpoint.sh manually when:

  • The user asks you to assess a specific endpoint before committing
  • You want detailed data (score, success rate, price history) to inform a decision
  • You want to check for price anomalies on a high-cost call
check-endpoint.sh https://api.example.com/data             # full assessment
check-endpoint.sh https://api.example.com/data --price 2.50  # include price anomaly check

Unknown endpoints always return allow. No data is not a risk signal — the ecosystem is new. Never treat known: false as a reason to warn or block.

On price anomalies, check anomaly_type:

  • suspicious — price is high *and* endpoint has low satisfaction score; warn the user
  • market_outlier — price is high but endpoint is otherwise trusted; inform the user but proceed

Post-Transaction Reporting

The plugin automatically detects failure outcomes and queues an anonymous report to data/pending-reports.jsonl on your local machine — no network call is made. Reports are only submitted to the network when you explicitly enable participate_in_network and trigger a flush. You do not need to run report.sh for failures the plugin can detect (empty, garbage, or error tool responses).

Use report.sh manually when the plugin couldn't have known it was a failure: the service returned something that looked valid at the protocol level but was actually wrong or useless from your perspective as the agent. This is a quality judgment only you can make.

Always include a --reason. Write it from your perspective: what you needed, what the endpoint claimed to provide, and what you actually got. One to three factual sentences.

When to queue manually:

  • Service returned HTTP 200 with plausible-looking data that turned out to be wrong, stale, or fabricated
  • Service returned less than you paid for with no error (partial fulfillment)
report.sh <url> post_payment_failure 0.05 --reason "Needed current AAPL price. Service returned HTTP 200 with an empty data array."
report.sh <url> pre_payment_failure 0 --reason "DNS resolution failed. Could not reach endpoint to initiate payment."
  • Queue locally without waiting for human confirmation
  • Notify the user: "I queued an anonymous outcome report for <hostname> — paid but received a poor result. It will be sent to the network only if you enable participate_in_network."

Never report success. Absence of failure reports is the positive signal.

Reading the Data Directly

The outcome report database is a flat JSON file at data/trust.json. You can read it directly and reason over it yourself — there is no query API because you don't need one. Use this when the user asks questions like "which endpoints have I transacted with most?" or "show me everything flagged as caution" — just read the file and answer.

When to Use

  • User asks whether an endpoint is trustworthycheck-endpoint.sh <url>
  • Price seems highcheck-endpoint.sh <url> --price <amount> to detect anomalies
  • Service returned valid-looking data that was actually wrong or uselessreport.sh <url> post_payment_failure <amount> — notify user
  • User asks about outcome datastatus.sh for DB status, read data/trust.json directly for deeper questions, or dashboard.sh start for visual exploration
  • Trust data seems stalesync-trust-db.sh to refresh

Important

  • Queue all failure reports locally. The plugin does this automatically for detectable failures; run report.sh for quality-judgment failures only you can identify.
  • Always notify the user when queuing. One line: what endpoint, what outcome, and that the report stays local until they enable participate_in_network.
  • Never report success. Absence of failure reports is the positive signal.
  • Never block on unknown endpoints. False blocks on legitimate services make this skill useless.

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

94.19%
按下载量换算1,047

安全审计

VirusTotal

通过

ClawScan

可疑

Static analysis

可疑

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。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。

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