Robin: AI-Powered Dark Web OSINT
Dark web OSINT over Tor: search onion engines, scrape pages, report with your own model.
Observability, tracking, and root-cause for Security Wave scans and findings.
选择你使用的 AI 应用,然后复制设置。
通过 3/3 项检查 · 在你的电脑上运行
第一步:你用哪个 AI?
选择你用的应用,步骤会显示在下方。
可连接 Claude,但需要先准备
需要先在电脑上安装 Node.js(只需一次) · 仅限电脑上的 Claude 应用(Windows 或 Mac),网页和手机不可用
SettingsDeveloperEdit Config
{
"mcpServers": {
"tracewatch": {
"command": "npx",
"args": [
"-y",
"@reneturcios/tracewatch",
"mcp"
]
}
}
}用 Tracewatch 告诉我你能帮我做什么,然后做一件给我看✓ 如果 Claude 说正在使用 Tracewatch,或回答中出现 Tracewatch 的工具名称,就表示连接成功
菜单名称已于 2026年11月11日 对照 Anthropic 帮助页面核实 · 你的界面可能因版本略有不同
ChatGPT 暂时无法连接 Tracewatch
Tracewatch 需要安装在你的电脑上,而 ChatGPT 只能连接在网上运行的服务器
A · 使用能连接 Tracewatch 的应用
B · 网络安全 类中能连接 ChatGPT 的其他服务器
从同类中使用较多的里挑选,仅限用地址即可连接、无需密钥的
可连接 Claude Code,但需要先准备
需要先在电脑上安装 Node.js(只需一次)
Mac:按 Command+空格,输入 Terminal · Windows:打开 PowerShell
claude mcp add --scope user tracewatch -- npx -y @reneturcios/tracewatch mcp应能看到 Tracewatch 在列表中并显示已连接
用 Tracewatch 告诉我你能帮我做什么,然后做一件给我看✓ 如果 Claude Code 说正在使用 Tracewatch,或回答中出现 Tracewatch 的工具名称,就表示连接成功
菜单名称已于 2026年11月11日 对照 Anthropic 帮助页面核实 · 你的界面可能因版本略有不同
可连接 Cursor,但需要先准备
需要先在电脑上安装 Node.js(只需一次)
用 Tracewatch 告诉我你能帮我做什么,然后做一件给我看✓ 如果 Cursor 说正在使用 Tracewatch,或回答中出现 Tracewatch 的工具名称,就表示连接成功
菜单名称已于 2026年11月11日 对照 Cursor 帮助页面核实 · 你的界面可能因版本略有不同
可连接 VS Code,但需要先准备
需要先在电脑上安装 Node.js(只需一次)
用 Tracewatch 告诉我你能帮我做什么,然后做一件给我看✓ 如果 VS Code 说正在使用 Tracewatch,或回答中出现 Tracewatch 的工具名称,就表示连接成功
菜单名称已于 2026年11月11日 对照 VS Code 帮助页面核实 · 你的界面可能因版本略有不同
Claude Code
claude mcp add --scope user tracewatch -- npx -y @reneturcios/tracewatch mcpClaude Desktop (claude_desktop_config.json)
{
"mcpServers": {
"tracewatch": {
"command": "npx",
"args": [
"-y",
"@reneturcios/tracewatch",
"mcp"
]
}
}
}Cursor (~/.cursor/mcp.json)
{
"mcpServers": {
"tracewatch": {
"command": "npx",
"args": [
"-y",
"@reneturcios/tracewatch",
"mcp"
]
}
}
}VS Code (mcp.json)
{
"servers": {
"tracewatch": {
"type": "stdio",
"command": "npx",
"args": [
"-y",
"@reneturcios/tracewatch",
"mcp"
]
}
}
}这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。
依据这个服务器的连接方式和各应用自己的文档,检查于 2026年11月10日。
在你的电脑上运行,适用于
ClaudeGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatRaycast
它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。
我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月12日
注册名称已通过 GitHub 账户 CloudCorpRecords 验证,该账户拥有此仓库
代码最后更新于17天前
使用 MIT
它在你的电脑上运行,没有互联网端点
在你的电脑上运行,改用本地设置
它在你的电脑上运行;我们只能读取互联网端点的工具列表
提问、分享技巧或报告无法使用。按“有帮助”数量排序。
还没有评价
与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。
它在 3 项适用的基础检查中通过了 3 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。
注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。
它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。
GitHub 仓库最后更新于17天前,最新版本(0.2.2)于17天前进入注册中心。
支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Node.js, Docker。
同一分类中有:Robin: AI-Powered Dark Web OSINT, HOL Guard, SonarQube MCP Server
同一分类中其他作者的服务器,按星标数排序。
如何看卡片:↓ 每周下载量i★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i
Dark web OSINT over Tor: search onion engines, scrape pages, report with your own model.
Local-first AI agent security evidence and approval workflows through HOL Guard's stdio MCP server.
Analyze code quality and security with SonarQube Server or Cloud directly in AI assistants.
按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。
Observability, tracking, and root-cause for the Security Wave.
The Security Wave tools (hookcheck, actionpin, injectcheck, mcpvet, depguard, flowcheck) answer "what is wrong right now, in this one scan." tracewatch is the wave's memory and stopwatch. It ingests their JSON reports over time and answers the questions an incident actually turns on:
Deterministic, offline-first, local store you can grep. No hosted backend, no account, no telemetry.
npx -y @reneturcios/tracewatch --version
npm install -g @reneturcios/tracewatch docker run -i --rm ghcr.io/cloudcorprecords/tracewatch mcp
# scan a repo with all six tools and start tracking it
tracewatch ingest ~/src/myrepo
tracewatch diff myrepo
tracewatch blame myrepo --finding tw_0123456789abcdef
tracewatch report myrepo
tracewatch watch ~/src/myrepo --interval 30
Every ingest stores one scan record (timestamp, tool versions, verdicts, git HEAD) plus one observation per finding. Findings carry stable IDs: a hash of tool, rule, normalized location, and a content signature. The same finding keeps its identity across scans and tool versions; a content edit keeps the identity and changes the ID version, which is what diff reports as CHANGED.
Diff groups: NEW, RESOLVED, CHANGED (with field-level old to new), verdict moves, and REF EVENTS. A ref event fires whenever an action's ref or classification moves, with both values spelled out:
tracewatch blame myrepo --rule CURL-PIPE-SH --file package.json
tracewatch blame myrepo --finding tw_0123456789abcdef --json
Evidence is labeled, never blended:
git log -S on the finding's needle in your local clone; the current-line commit from git blame; the PR association from the GitHub API (commits/{sha}/pulls) when the clone has a GitHub remote; ref history and first/last seen from the store itself.tracewatch watch ~/src/myrepo --interval 60 --alerts alerts.jsonl
tracewatch watch owner/repo --path ~/src/myrepo-clone --interval 60
Local mode polls a directory: new or changed text files are scanned with injectcheck the poll they appear in; a git HEAD move triggers a full ingest plus diff. GitHub mode polls an owner/repo slug: new issues and PRs are scanned on arrival, HEAD moves are recorded (and scanned when you pass a local clone with --path). Every detection writes a record with time-to-detect = detection time minus the content's own creation time (issue created_at, commit time, file birth time). State checkpoints after every cycle, so a restarted watch resumes without re-alerting history. Alerts stream as JSONL to stdout and to the --alerts file.
Polling is the portable fallback. The fastest path is event-driven, in CI:
name: tracewatch-issues
on: issues: types: [opened, edited] pull_request: types: [opened, edited, synchronize] permissions: contents: read jobs: scan-new-content: runs-on: ubuntu-latest steps:
Known limit, stated plainly: GitHub watch mode reads through the local ghapi helper, whose output truncates long responses; an issue poll that cannot be parsed in full is logged as a watch note and retried next cycle rather than partially trusted. The CI pattern above has no such limit and is the recommended production path for issue scanning.
tracewatch report myrepo # human
tracewatch report myrepo --json # machine tracewatch findings myrepo --tool hookcheck --status open
The health report carries the verdict trend across every scan, open findings by tool and severity, resolved count, mean time open for resolved findings (first-seen scan to the scan where the finding disappeared), all ref events, and detection latency stats (count, median, max, by kind).
tracewatch mcp serves a stdio MCP server with seven tools:
| Tool | What it does |
|---|---|
| ingest_scan | Run the six tools on a local path and store the scan |
| diff_scans | NEW / RESOLVED / CHANGED, verdict moves, ref events between two scans |
| finding_provenance | Introducing commit, current-line commit, PR, ref history for one finding |
| repo_health | Verdict trend, open findings, mean time open, detection latency |
| watch_status | Every tracked repo: scans, last scan, open findings, median TTD |
| list_findings | Tracked findings filtered by tool, severity, status |
| explain_finding | The full evidence bundle for one finding, written to act on |
Append-only JSONL under ~/.tracewatch (override with --store or TRACEWATCH_STORE): scans.jsonl, findings.jsonl, detections.jsonl, alerts.jsonl, plus watch-state.json checkpoints. Plain text on purpose. Finding status is derived from the observation series on every read, never stored as mutable state, so the store cannot disagree with itself. Identical store state always renders identical diff and report output.
Exit codes: 0 success or no changes, 1 a diff found changes, 2 usage error or total failure, 141 the reader closed the output pipe before the report was delivered.
depguard findings only exist relative to a comparison: a dependency was added, removed, or changed against a base. tracewatch preserves that context end to end. Every depguard finding carries the base (a git ref, a directory path, or none), the head path, the run mode, and its per-finding change kind and version move, and the scan record carries the same context at scan level, so a diff can say what changed against what.
Direct-run ingest (tracewatch ingest) runs depguard in its offline snapshot mode against the bare target, which surfaces manifest and lockfile findings (including typosquat suspects) with base recorded as none. A full base/head comparison needs a base the bare target does not name: run depguard with --base or --base-path yourself and import the report (tracewatch import --report depguard= ), and the diff context lands in the store with the findings.
MIT. Part of the Security Wave: hookcheck (persistence hooks), actionpin (Actions pinning), injectcheck (prompt injection in agent-read content), mcpvet (MCP server and skill vetting), depguard (dependency change guard), flowcheck (workflow permission hardening), tracewatch (observability and root cause).