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sealverasealvera 搜索

Agent Skill

sealvera 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

15,326

周安装

620

GitHub Stars

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下载量

4,811
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:sealvera(sealvera 搜索)
来源仓库:https://github.com/ahessami123/sealvera
安装命令:
openclaw skills install sealvera
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 sealvera

简介

sealvera 提供防篡改审计跟踪功能,记录 AI 代理决策过程。

  • 适用于满足欧盟 AI 法案、HIPAA、GDPR 等合规性审计需求。
  • 可追踪法学硕士(LLM)行为轨迹,增强系统透明度与可追溯性。
  • 需加密存储日志并控制访问权限,防止数据泄露或篡改。
  • 建议定期导出审计报告供内外部审查使用。sealvera 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

name
sealvera
description
Tamper-evident audit trail for AI agent decisions. Use when logging LLM decisions, setting up AI compliance, auditing agents for EU AI Act, HIPAA, GDPR or SOC 2, or when a user asks about AI decision audit trails, explainability, or SealVera.
tags

SealVera Skill for OpenClaw

Cryptographically-sealed, tamper-evident audit trails for every AI decision your agents make.

SealVera is AI Decision Audit Infrastructure. This skill wires any OpenClaw agent into SealVera so every decision it makes is logged, cryptographically signed, chained, and monitored — automatically. Built for teams shipping AI in finance, healthcare, legal, and insurance.

EU AI Act · SOC 2 · HIPAA · GDPR · FINRA · ISO 42001

Why SealVera?

  • Tamper-evident — every decision is cryptographically hashed (RSA-2048) and chained; any alteration is detectable
  • Works in 2 linesinit() + one patch call and every LLM decision is logged
  • Full explainability — captures inputs, outputs, reasoning steps, confidence scores, model used
  • Real-time dashboard — search, filter, export at app.sealvera.com
  • Drift detection — alerts when agent behaviour deviates from its baseline
  • Any LLM — OpenAI, Anthropic, Gemini, Ollama, LangChain, CrewAI, AutoGen
  • Zero friction — no new infrastructure, installs in seconds

First time? Run setup

Check if SealVera is configured:

const fs = require('fs');
const path = require('path');
const configured = fs.existsSync(path.join(process.env.OPENCLAW_WORKSPACE || process.cwd(), '.sealvera.json'));

If .sealvera.json does NOT exist, run setup:

node <skill_dir>/scripts/setup.js

Setup will:

  1. Ask for your API key (get one free at app.sealvera.com)
  2. Verify connectivity and show org/plan info
  3. Copy sealvera-log.js into the workspace
  4. Patch AGENTS.md with the mandatory sub-agent audit rule
  5. Write .sealvera.json config
  6. Fire a test log to confirm end-to-end

One-time setup. After this, every sub-agent you spawn is audited automatically.

If the user says "install SealVera", "set up SealVera", or "connect SealVera" — run setup, don't just describe it.


How logging works

After setup, two logging paths are active:

1. Sub-agent logging (automatic via AGENTS.md)

Every sessions_spawn task prompt gets a MANDATORY footer — the sub-agent logs itself on completion.

2. Main-session logging (call after every significant task)

The agent running the main session must log its own work. This is what shows your day-to-day activity in the dashboard.

const log = require('./sealvera-log');
await log({
  action: 'fix_login_bug',          // short description of what you did
  decision: 'COMPLETED',            // COMPLETED | FAILED | ESCALATED
  input:  { task: '...' },
  output: { result: '...' },
  reasoning: [{ factor: 'outcome', value: 'ok', signal: 'safe', explanation: '...' }]
});

Log after: code written, bug fixed, feature deployed, investigation done, judgment call made. Don't log: routine chat, heartbeat pings, trivial lookups.

Setup patches SOUL.md with this rule so the agent follows it automatically.

Each log entry includes: input/output, reasoning steps, RSA-2048 signature, chain link, timestamp, model, and agent name.


Decision vocabulary

Task / agent execution:

DecisionMeaning
COMPLETEDTask finished successfully
RESPONDEDAnswered a question / returned output
FAILEDTask failed
ERRORUnexpected exception
ESCALATEDHanded off to human or higher-level agent
SKIPPEDTask intentionally not run
PARTIALCompleted with caveats

Approval / gating:

DecisionMeaning
APPROVEDRequest approved
REJECTEDRequest blocked
FLAGGEDNeeds human review

Tests:

DecisionMeaning
PASSEDTest passed
FAILEDTest failed
SKIPPEDTest skipped

Sub-agent audit rule

Append this footer to every sessions_spawn task:

---
MANDATORY: Before you finish, log your result to SealVera:
  const log = require('<workspace>/sealvera-log');
  await log({
    action: '<what you did>',
    decision: 'COMPLETED',
    input: { task: '<summary>' },
    output: { result: '<summary>' },
    reasoning: [{ factor: 'outcome', value: '<result>', signal: 'safe', explanation: '<why>' }]
  });
Vocabulary: task=COMPLETED/FAILED | test=PASSED/FAILED | gate=APPROVED/REJECTED | handoff=ESCALATED

Check status

node <skill_dir>/scripts/status.js

Get your API key

Sign up at app.sealvera.com — free tier includes 10,000 decisions/month.


Reference

See references/api.md for all SDK methods and log field schema. See references/compliance.md for regulation mapping (EU AI Act, FINRA, HIPAA, GDPR, SOC 2).

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

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能力 2

展示可复制的安装命令

能力 3

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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

88.95%
按下载量换算4,279

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敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

安装前确认

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