
RepoRipple
io.github.adiarora06由 GitHub 账号 adiarora06 发布v0.6.0更新于 Nov 11, 2026
Deterministic repository change-impact analysis for engineers and coding agents.
概览
本地只读 MCP 服务器,分析仓库的 Git 变更并报告可能受影响的文件与测试。
- 可以做什么
- 在编辑落地前预测改动的影响范围
- 分析实际工作区、暂存区或分支对比基线的变更
- 按可配置深度追踪反向依赖并列出受影响文件
- 推荐相关测试并标记风险信号,包括敏感区域
- 输出可直接评审的 Markdown、JSON 或独立可视化影响图
- 适用场景
- 适合编码代理需要了解某次改动波及范围的场景,也适合代码评审或在 CI 中按风险等级拦截合并。适用于有 Git 历史的 Python、JavaScript 和 TypeScript 仓库。
- 运行要求
- 以 PyPI 包形式通过 stdio 本地运行(uvx reporipple mcp),也可从源码检出运行;需要 Python 和 Git。启动时必须指定限制工具访问范围的根路径。确定性分析无需 API 密钥或托管服务;可选的 OpenRouter 解释需要 OPENROUTER_API_KEY 环境变量。
安装
在 SourceWeft 中
- 打开 控制台中的 RepoRipple,将其添加到工作区。
- 为需要使用其工具的对话启用该服务。
Desktop only,通过 STDIO。 STDIO 服务会启动本地进程,因此需要 SourceWeft 桌面宿主。
其他 MCP 客户端
参照 仓库 中的启动说明。
README
RepoRipple
Know what a code change can break before you merge it.
[PyPI] [Python versions] [CI] [License: MIT] [MCP Registry]
RepoRipple is a local-first change-impact analyzer for engineers and coding agents. It builds a lightweight dependency graph from a repository, reads the current Git diff, traces reverse dependencies, recommends relevant tests, and emits review-ready Markdown, JSON, or a standalone visual impact map.
The deterministic analyzer requires no API key, hosted service, source upload, or framework integration. An optional, explicitly requested OpenRouter explanation can turn its anonymized evidence into a short narrative without changing the underlying analysis.
PyPI · Portfolio case study · MCP setup · v0.6.0 release
Why RepoRipple?
Code graphs explain how a repository is connected. RepoRipple applies that graph to the change in front of you:
- Which files depend on the code I changed?
- How far does the blast radius travel?
- Which tests are most relevant?
- Did I touch authentication, payments, deployment, or another sensitive area?
- Should this pull request be blocked for additional review?
- What structured context should I give a coding agent?
Install and run
Run it once without installing:
Three product surfaces
Visual impact map
--format html turns the same deterministic evidence into a portable review dashboard. The map
lays out changed files, direct dependents, transitive dependents, and suggested tests from left to
right, then keeps the complete review paths, risk signals, and verification list below it.
Use --format all --output reporipple-reports to create impact.md, impact.json, and
impact.html from one repository scan. Adding --open opens the HTML map after writing the bundle.
The report has no external scripts, fonts, analytics, or network requests. Repository source code
is never embedded; only the file paths and evidence already present in the standard report appear.
Large results keep the full review list while limiting the visual canvas to 80 nodes. See the
impact-map guide or run the
included deterministic demo with ./scripts/demo-impact-map.sh.
Watch the 22-second impact-map demo — a silent, 720p recording generated from the included checkout fixture.
GitHub Action
Add RepoRipple to a pull-request workflow to create impact reports and append the Markdown report to the GitHub job summary. This immutable v0.6.0 example produces Markdown, JSON, and visual HTML:
The Action accepts path, base, max-depth, fail-on, and reports-directory. Version 0.6.0
outputs markdown-report, json-report, html-report, and risk-level. The example is pinned to
the release source commit rather than a mutable tag. When upgrading, replace it with the commit SHA
for the desired release. Use fetch-depth: 0 so the requested base revision is available.
This repository's own pull-request workflow demonstrates a fork-safe commenting design. Analysis runs with read-only contents access. A separate job updates one stable RepoRipple comment only for branches in the same repository; fork pull requests keep their report in the job summary and downloadable artifact without receiving a write-capable token.
Coding-agent tools (MCP)
RepoRipple can expose the same deterministic analysis to Codex, OpenCode, Cursor, Claude Code, and VS Code over a local, read-only MCP server. From a source checkout:
Launch the published package without a clone:
The server provides forecast_change for proposed edits and analyze_worktree for
actual Git changes. See the
MCP setup guide for
client-specific commands and configuration.
The architecture guide explains how the CLI, GitHub Action, MCP server, and optional explanation layer share one deterministic analysis engine.
Example report
How it works
- Discovers Python, JavaScript, and TypeScript source files.
- Extracts Python imports with the standard-library AST and JS/TS imports with a focused parser.
- Resolves JS/TS dependencies in a deterministic order: relative paths, the nearest
tsconfig.jsonorjsconfig.jsonpathsmappings, itsbaseUrl, and then npm/Yarn workspace packages declared by the rootpackage.json. - Records which JS/TS files are governed by project configuration and package manifests.
- Builds forward and reverse dependency relationships across source and metadata.
- Gets added, modified, deleted, and renamed files from an explicit base revision or the local worktree.
- Retains pre-change source and resolver metadata for deleted and renamed files so their remaining dependents can still be traced.
- Traverses dependents to a configurable depth.
- Adds test recommendations, documentation reminders, and deterministic risk signals.
Configuration-only changes now produce a concrete blast radius. Each JS/TS source is linked to its
nearest tsconfig.json or jsconfig.json, that configuration's local extends chain, and its
nearest live package.json. When Git supplies a deleted or renamed manifest, RepoRipple retains
the nearest historical package boundary below the current live boundary as a second impact target
without letting it shadow that live ancestor. A deleted project config likewise remains an impact
target but cannot supply aliases or baseUrl for the current tree, including when a live config
still names it in extends. For extensionless extends, a live fallback is preferred while a
deleted candidate remains direct historical metadata. Deleted config chains are not traversed;
this prevents stale history from consuming work needed for the live graph. Successfully matched
workspace imports are additionally linked to the root workspace manifest and the imported
package's manifest; unrelated external imports are not. Changing any of that metadata reports
directly governed or dependent source files first, then continues through their downstream
importers. Metadata remains outside the source-file inventory, while its deterministic
relationships are included in the reported graph edge count.
Workspace resolution is local and source-aware. RepoRipple matches imports to explicitly declared
package.json workspaces by package name, respects their public export boundaries, and follows
entry points that resolve to source files in the repository. Workspace globs support recursive
patterns, bounded brace alternatives and ranges, and exclusions. Conditional exports distinguish
ES module and CommonJS entry points: .mts/.mjs use the import profile, .cts/.cjs use the
require profile, and ambiguous TypeScript/JavaScript files conservatively inspect both. RepoRipple
also keeps applicable custom conditions declared before a syntax or default fallback so it does
not silently miss browser, platform, or source-only dependency edges.
Custom conditions are evaluated without assuming one runtime condition set. Nested or repeated custom conditions can therefore produce conservative extra edges that no single runtime would select; impact analysis favors that visible over-approximation over silently missing a dependent.
RepoRipple does not inspect installed node_modules, contact a registry, or run a package manager.
pnpm-workspace.yaml, external packages, and workspace entry points that exist only as ignored or
missing build output are not currently resolved. Pathological workspace glob sets that exceed the
resolver's fixed safety budgets fail closed instead of consuming unbounded scan time. The current
limits are 512 effective patterns, 2,048 aggregate path components across unique patterns, 64 KiB
of raw patterns, and 256 KiB after brace expansion. Project-config traversal is limited to 16
levels, 64 loaded config nodes per root resolution, and 64 config metadata dependencies per
source. A repository scan stores at most 100,000 unique source-to-metadata relationships. Scan
warnings identify every exceeded limit, and completed top-level config resolutions are reused
without bypassing cycle or depth checks inside an extends traversal. Loaded live config paths
have priority in the per-source metadata cap; skipped live targets are next, and direct historical
targets use the remaining capacity. Changes to tsconfig.json, jsconfig.json, and package
manifests are both flagged as configuration risk and traced through their governed or dependent
JS/TS files. Deleted and renamed metadata uses the same bounded in-memory Git overlay as deleted
source. For an in-place workspace-manifest edit that removes an old package name entirely,
RepoRipple can still report files owned by that package, but cannot reconstruct importers of the
removed name without a second full historical scan.
The core intentionally avoids LLM scoring. Results stay reproducible, private, fast, and usable in CI. Optional AI explanations can be layered over the JSON output without making correctness depend on a model.
Optional OpenRouter explanation
AI explanation is off by default and is activated only by --explain. The deterministic risk level, evidence, report, and --fail-on exit status remain authoritative even if OpenRouter is unavailable or returns an invalid response.
First inspect the exact key-free body that would leave your machine:
The preview does not read an API key and does not make a network request. When you are satisfied with the payload, provide the key through the environment and explicitly request an explanation:
There is no command-line key option and RepoRipple does not read a key from a file. The integration uses only the Python standard library and applies all of these controls to every request:
- Repository names, paths, source, diffs, scanner-warning text, and user identifiers are not transmitted.
- Files and risk signals become opaque evidence IDs such as
E001; returned IDs are schema-validated and mapped back to labels locally. - The response must satisfy a strict JSON Schema, and unknown evidence IDs or extra fields are rejected.
- OpenRouter routing requires zero data retention (
zdr: true), denies data collection, and selects only providers that support every requested parameter. - Provider prices are capped at $0.25 per million input tokens and $1 per million output tokens, with a 450-token response limit.
- Requests have a 10-second timeout and retry at most once after an explicit retryable HTTP response; ambiguous network timeouts are not retried.
- Token usage and reported request cost are included in Markdown and JSON output.
The pinned default model is openai/gpt-6-luna. Override it with --explain-model or
REPORIPPLE_OPENROUTER_MODEL; privacy, schema, and price controls remain mandatory. Privacy
filters may reduce provider availability, and the request fails closed when no eligible provider
satisfies them. OpenRouter's ZDR policy prevents eligible providers from retaining prompts and
responses after processing; it does not mean the request stays on your machine. See OpenRouter's
structured outputs,
ZDR controls, and
provider routing controls.
CLI reference
When no base or explicit path is supplied, RepoRipple analyzes staged, unstaged, and untracked files. On a clean checkout it falls back to the latest commit.
--explain and --explain-preview are mutually exclusive. With JSON output, either flag returns a wrapper containing deterministic_report plus the explanation or preview; ordinary JSON output is unchanged.
Supported analysis
Development
See CONTRIBUTING.md for RepoRipple's design contracts, test map, and pull-request expectations.
Privacy and security
RepoRipple's deterministic analysis runs locally and does not transmit repository contents. It
invokes Git using argument arrays rather than a shell and reads only supported, non-symlinked
source files outside common generated and dependency directories. The MCP server constrains every
repository request to its configured --root and exposes read-only tools only. Network access
occurs only when --explain is present; --explain-preview remains fully local so the outbound
body can be audited first.
Report suspected vulnerabilities through GitHub private vulnerability reporting; see SECURITY.md for scope and reporting guidance.
License
MIT
来源:README.md,提交 3d32071
工具
0版本历史
6- v0.6.0最新Nov 11, 2026
- v0.5.1Nov 4, 2026
- v0.5.0Oct 29, 2026
- v0.4.0Oct 8, 2026
- v0.3.0Sep 30, 2026
- v0.2.0Sep 27, 2026
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