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Blast Scope

作者:Atharva-Jayappa版本 0.6.1i★ –i在你的电脑上运行
注册名称io.github.Atharva-Jayappa/blast-scope

安装

概览

作者提供的说明(英文原文)

Contextual blast-radius scoring for shell commands an AI agent is about to run

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

  • 连接方式: 在你的电脑上运行
  • 传输方式: stdio
  • 分类: 其他

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

  • 基础检查:1 项中通过 1 项
  • 在你的电脑上运行,拥有你的用户账户的权限(文件、网络、应用)。
  • 注册中心没有列出需要填写的密钥。

你需要

  • PyPI已安装 Python 的 uv(用于 uvx 命令)

你用的是哪个应用?

在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。

打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json

{
  "mcpServers": {
    "blast-scope": {
      "command": "uvx",
      "args": [
        "blast-scope"
      ]
    }
  }
}

在终端中运行这条命令

claude mcp add blast-scope -- uvx blast-scope

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

{
  "mcpServers": {
    "blast-scope": {
      "command": "uvx",
      "args": [
        "blast-scope"
      ]
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "servers": {
    "blast-scope": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "blast-scope"
      ]
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

你的选择通过 Cookie 保存在这台设备上,无需账户。

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。

它能做什么

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。

基础检查i

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7日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 Atharva-Jayappa 验证,该账户拥有此仓库

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • – 不适用

    端点有响应

    它在你的电脑上运行,没有互联网端点

  • – 不适用

    使用 OAuth 登录

    在你的电脑上运行,改用本地设置

  • … 尚未检查

    工具描述中没有隐藏指令

    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

与“其他”中的其他服务器比较i

  • 星标数多于此分类中其他 32606 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 32606 个服务器的 22% 更新
  • 基础检查结果等于或优于此分类中其他 32606 个服务器的 100%

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。

常见问题

Blast Scope 安全吗?

它在 1 项适用的基础检查中通过了 1 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。

它需要哪些密钥或代码?

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。

它在我的电脑上运行还是在云端?

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)。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(0.6.1)于3个月前进入注册中心。

哪些应用可以使用它?

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 Python (uv)。

有什么可以替代它?

同一分类中有:Spec Driven Development, Remote Desktop Commander, Georgia MCP

替代选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:★ 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

Spec Driven Development

作者:formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

在你的电脑上运行★ 440MIT14个月前更新
安装

Remote Desktop Commander

作者:desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

在云端运行★ 211前天更新
安装

Georgia MCP

作者:abgeo

An MCP server for Georgian public data, read from the organizations that publish it.

电脑或云端今天更新
安装

作者的 README

打开 README

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。

Blast Scope

A consequence engine for shell commands. Blast Scope scores what a command would actually *do* — before an AI agent (or you) runs it. It doesn't pattern-match syntax into a blocklist; it figures out the command's real target, observes that target with a safe, read-only probe, and returns a structured risk score with evidence.

The whole point is *contextual* blast radius. The same command gets a completely different score depending on what it would actually hit:

COMMAND                            SEVERITY   WHY                                          ADVICE

───────────────────────────────── ──────── ────────────────────────────────────────── ─────── rm -rf ./logs LOW 0 importers · regenerable · outside src proceed rm -rf ./config CRITICAL 8 modules import it · high PageRank hub block git reset --hard (clean tree) LOW nothing uncommitted to discard proceed git reset --hard (4 dirty files) HIGH would throw away 4 files of uncommitted work confirm git push --force (protected) CRITICAL would orphan commits on a protected branch block docker volume rm cache (absent) LOW volume doesn't exist — nothing to remove proceed docker volume rm pgdata (in use) CRITICAL holds data · in use · no image to rebuild block pip uninstall flask (uv.lock) LOW regenerable — exact version pinned in lock proceed DROP TABLE users (42 rows) CRITICAL schema + 42 rows · irreversible block DELETE FROM logs (in txn) HIGH no WHERE — but inside a txn, ROLLBACK-able confirm

Two commands can be byte-identical and score four bands apart. That gap is the product.

Not a blocklist. Not a replacement for Shellfirm. Not a syscall monitor. It

scores *structural consequence* — advisory, never blocking — and for the rare

critical command it captures an undo snapshot first.


How it works

A command flows through a cheap funnel: almost everything is recognized as non-destructive in microseconds and exits silent. Only a flagged *destructive candidate* pays for a probe.

  shell command

│ split chains (&& || ; |) · de-alias PowerShell · parse flags/targets ▼ ┌──────────────────────────────────────────────────────────────────────┐ │ STAGE 1 · triage (near-free regex — runs on every command) │ │ which class? git · docker · pip/uv · sql · else filesystem │ │ destructive? git status → no. git reset --hard → yes ↓ │ └───────────────────────────────┬──────────────────────────────────────┘ destructive candidate │ (everything else exits here, silent) ▼ ┌──────────────────────────────────────────────────────────────────────┐ │ ELIGIBILITY FILTER safe read-only probe? AND undo authorable? │ └──────────────┬──────────────────────────────────────┬─────────────────┘ yes, probe it │ no probe here / now │ ▼ ▼ STAGE 2 · safe probe (read-only) heuristic estimate git status · reflog · rev-list from a static per-class docker inspect · ps · ls table — and LABELED sqlite SELECT count(*) [mode=ro] "(estimated)" so you pip/uv read lockfiles know it wasn't probed │ │ └─────────────────────┬─────────────────────┘ ▼ blast radius × reversibility (combined PER CLASS — no global formula) filesystem also folds in: dependency-graph centrality + recoverability ▼ score 0.0–1.0 → severity (low / medium / high / critical) ▼ PreToolUse hook: silent (low/med) · advise (high) · advise + snapshot (critical)

The eligibility filter is the design boundary. A command class earns a *live probe* only when both hold: (1) its impact is observable by a strictly side-effect-free read (HTTP-GET sense — never mutate state to assess state), and (2) its undo story is well-known enough to encode in a static table. When a probe can't run here and now (no docker daemon, no DB driver, no creds), the tool degrades to a labeled estimate — it never guesses silently, and it never blocks.

See docs/heuristics.md for the per-class tables, the exact filesystem formula, and calibration.

The five command classes
ClassDestructive ops it scoresSafe (read-only) probeReversibility signal
Filesystemrm -rf, mv, > truncatedependency graph + git statusgit-tracked? regenerable? secret? precious?
Gitreset --hard, push --force, branch -D, clean -fdxstatus · reflog · rev-list · rev-parse @{u}reflog window · remote ahead · protected branch
Dockervolume rm, system prune -a, rm -fvolume inspect · ps -a · volume lsvolume → none · container → recreatable from image
pip / uvpip uninstall, uv pip uninstallread lockfile / manifest (no subprocess)lockfile present → fully regenerable
SQLDROP, TRUNCATE, DELETE without WHERESQLite: SELECT count(*) mode=ro; transaction checkinside a transaction? backup posture?

New classes drop in behind one protocol (triage / assess) in src/blast_scope/classes/; each class confines assess to strictly side-effect-free reads.


Status

Calibrated multi-class guardrail with command resolution and a precise dependency graph.

CapabilityModule
Flag/operand-sensitive command model (POSIX and PowerShell)command_effects.py, command_parser.py
Command resolution — env/tilde/brace/glob expansion, unset-var hazards, script transparency (sh -c, npm run + pre/post hooks, script files, Makefile targets), read-only $(...) substitutionresolution.py
Dry-run oracles — git clean -n exact lists, reset divergence, checkout clobber preview, find -delete→-print rewrite, sqlite scoped-DELETE counts, rsync --dry-run; oracle targets feed the undo snapshotclasses/git.py, classes/find.py, classes/rsync.py, classes/sql.py
Recoverability classification (git state, secrets, regenerable, precious data)recoverability.py
Dependency graph + weighted PageRank centrality, incremental indexinggraph_resolver.py, centrality.py
Two-axis, evidence-based filesystem scoringrisk_scorer.py
Command-class probes — git / docker / pip·uv / SQL, behind one protocolclasses/
Out-of-graph path analyzers (infra / config-by-path) + git baseconsequences.py, vcs.py, infra.py, config_refs.py
PreToolUse hook + tarball snapshot/undohook.py, snapshot.py
Eval harness + labeled corpus + calibrationeval.py, tests/fixtures/eval_corpus.jsonl

Calibration. Two harnesses, both run-it-yourself:

  • In-repo corpus (tests/fixtures/eval_corpus.jsonl, 58 cases spanning every recoverability category, git working-tree state, infra/config, rm -rf .git, a graph-indexed central module, the git/docker/pip/SQL classes, and the resolution layer — unset-var collapses, glob/env-var targets, sh -c payloads, npm pre-hooks, opaque wrappers, mass destruction of tracked source) — 58/58 exact severity, gate F1 1.00, pinned by tests/test_eval.py with headroom so changes can't silently regress.
  • [SABER](https://github.com/sssr-lab/saber) — 716 real coding-agent workspaces. Against ~1725 safe commands, blast-scope's false-positive rate is 0.58%; on its core competency (data_destruction) it catches 82.4% of injected attacks on realistic workspaces — on the fast hook path, no graph required, thanks to command resolution (env/glob binding + script transparency). Wrapper transparency also lifts code_tampering from ~0% to 50%. The per-category recall is deliberately uneven, and the table says so: blast-scope scores *destructive consequence* — filesystem/data loss plus git/docker/pip/SQL state. Network exfiltration and persistence are a different threat model, out of scope by design — not an unfinished corner. That's the boundary, drawn on purpose. See bench/.
uv run python -m blast_scope.eval                 # in-repo corpus

python bench/saber_eval.py --tasks /dataset/data/tasks.jsonl # SABER


Installation

The fastest path for any MCP client is zero-install via uvx (no clone, no venv):

uvx blast-scope        # runs the MCP server on stdio

Claude Code users — one line wires up both the MCP tools and the advisory hook:

/plugin marketplace add Atharva-Jayappa/blast-scope

/plugin install blast-scope

For development, or to pin a checkout:

git clone https://github.com/Atharva-Jayappa/blast-scope.git

cd blast-scope && uv sync --all-extras


Usage

As an MCP server

Add to your MCP client config (e.g. Claude Code settings.json):

{

"mcpServers": { "blast-scope": { "command": "uvx", "args": ["blast-scope"], "type": "stdio" } } }

Tools exposed:

ToolPurpose
assess_command(command, cwd?, project_root?)Score a (possibly chained) command. Returns score, severity, rationale, evidence, recoverability, affected nodes, and a per-segment chain breakdown.
index_project(project_root)Force a dependency-graph rebuild (auto-built on first use otherwise).
list_snapshots(project_root)List undo snapshots, newest first.
restore_snapshot(snapshot_id, project_root)Undo a risky command by restoring its snapshot.
As a hook (tiered advice + auto-snapshot)

Intercept Bash commands *before* they run — advisory, never blocking. Volume scales with stakes: silent on low/medium, advise on high, advise + snapshot on critical. The snapshot skips what's already recoverable (git-clean, regenerable) and warns rather than tars anything over a hard size cap, so the undo net stays fast and trustworthy.

The hooks also keep the dependency graph alive on their own — no MCP call needed: SessionStart cold-builds it in a detached background process, and every PreToolUse refreshes it incrementally before scoring (a ~20 ms stat sweep when nothing changed), so verdicts track the current tree even after a burst of agent edits. Add to .claude/settings.json:

{

"hooks": { "SessionStart": [ { "hooks": [{ "type": "command", "command": "python -m blast_scope.hook" }] } ], "PreToolUse": [ { "matcher": "Bash", "hooks": [{ "type": "command", "command": "python -m blast_scope.hook" }] } ] } }

Full details and the undo flow: docs/hook.md.


Example output

A filesystem command, scored against the dependency graph:

// assess_command("rm -rf ./config", project_root="/proj")

{ "score": 0.93, "severity": "critical", "recommendation": "block", "recoverability": "untracked", "rationale": "rm targets config. 8 direct importer(s), 14 total affected. not git-tracked. recursive deletion. CRITICAL risk.", "evidence": [ "8 importer(s), 14 affected node(s)", "high centrality (PageRank 0.91) — a hub other code routes through", "untracked — not in git history", "recursive — applies to every file underneath" ], "affected_nodes": [ /* ... */ ], "chain": [ /* per-segment breakdown */ ] }

A command class

只显示了开头部分;其余内容请在仓库中阅读

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