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credencecredence 搜索

Agent Skill

credence 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

17,123

周安装

728

GitHub Stars

公开资料未说明

下载量

5,999
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:credence(credence 搜索)
来源仓库:https://github.com/pestafford/credence
安装命令:
openclaw skills install credence
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 credence

简介

在安装之前,根据 Credence 信任注册表检查任何 MCP 服务器或 AI 工具。按 0-100 分范围对安全性、来源和行为风险进行评分。

SKILL.md

name
credence
description
Check any MCP server or AI tool against the Credence trust registry before installing it. Scores security, provenance, and behavioral risk on a 0-100 scale.
user-invocable
true
metadata
{"openclaw": {"emoji": "🛡️", "requires": {"bins": ["curl"]}, "os": ["darwin", "linux", "win32"], "tags": ["security", "trust", "mcp"]}}

Credence

Check MCP servers and AI tools against the Credence trust registry before you install them.

When to use this skill

  • Before installing any MCP server
  • When a user asks you to add an MCP server or AI tool
  • When you want to verify whether a tool is safe
  • When the user asks /credence

How it works

Credence scans MCP servers and AI tools for security issues, verifies their provenance, and checks behavioral risk. Every scanned tool gets a trust score from 0 to 100 and a verdict:

ScoreVerdictMeaning
90-100APPROVEDSafe to install
70-89CONDITIONALReview the flagged items before installing
40-69FLAGGEDSignificant concerns — install only if you understand the risks
0-39REJECTEDDo not install

Instructions

Check a server by name or URL

Fetch the Credence registry and look up the server:

curl -s "https://raw.githubusercontent.com/pestafford/credence-registry/main/registry/index.json"

Search the servers array for a match on server_id, server_name, canonical_name, or repo_url. The match does not need to be exact — partial matches on the repo URL or server name are fine.

If found, report:

Credence: <server_name>
  Score: <trust_score>/100
  Verdict: <thinktank_verdict>
  Scanned: <attested_at>
  Registry: https://credence.securingthesingularity.com/registry.html

Then give your recommendation:

  • APPROVED (90+): Safe to install. Proceed.
  • CONDITIONAL (70-89): Mention the score and suggest the user review the registry page for details before installing.
  • FLAGGED (40-69): Warn the user. Do not install without explicit confirmation.
  • REJECTED (0-39): Do not install. Explain that Credence found serious issues.

If not found, say:

This tool has not been scanned by Credence yet.
Submit it for scanning at: https://credence.securingthesingularity.com/#submit

Then let the user decide whether to proceed.

Check before installing

Whenever you are about to install or connect to an MCP server (via claude mcp add, editing claude_desktop_config.json, or any other method), check it against Credence first. If the server is not in the registry, tell the user it hasn't been scanned and ask if they want to proceed anyway.

Get full details

For more detail on a specific server, fetch its attestation file. The attestation_file path from the index entry is relative to:

https://raw.githubusercontent.com/pestafford/credence-registry/main/registry/

The attestation includes the full score breakdown (security, provenance, behavioral), scan metadata, and the deliberation verdict.

Examples

User says: "Add the filesystem MCP server"

  1. Fetch the registry index
  2. Find modelcontextprotocol/servers/filesystem — score 88, APPROVED
  3. Report: "Credence score: 88/100 (APPROVED). Safe to install."
  4. Proceed with the install

User says: "Install some-unknown-server"

  1. Fetch the registry index
  2. Not found
  3. Report: "This server hasn't been scanned by Credence yet. You can submit it at https://credence.securingthesingularity.com/#submit — want to install anyway?"

User says: /credence modelcontextprotocol/servers/memory

  1. Fetch the registry index
  2. Find it — score 98, APPROVED
  3. Report the full status

Notes

  • The registry is public and requires no authentication
  • Scores are based on automated scanning plus adversarial AI deliberation
  • A missing entry does not mean a tool is dangerous — it just hasn't been scanned yet
  • For the full methodology, see https://credence.securingthesingularity.com/faq.html

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

75.55%
按下载量换算4,532

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

未展示

权限和风险

external-service

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

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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