
Evergreen
io.github.arminazimi由 GitHub 帳號 arminazimi 發布v0.7.3更新於 Nov 7, 2026
Evidence-backed deprecation and end-of-life checks for dependencies, runtimes, and Actions.
概覽
本機 MCP 伺服器,讓助理掃描儲存庫中已終止支援的執行環境、已棄用的套件與已退役的 GitHub Actions,並附上依據與遷移步驟。
- 可以做什麼
- 掃描儲存庫中的生命週期風險,列出問題所在的檔案、行號與嚴重程度
- 解釋單一問題,提供權威來源、替代方案與遷移步驟
- 產生遷移情境包並驗證遷移結果
- 在加入相依套件前單獨檢查某個套件或 Action 的狀態
- 涵蓋 npm、Python、Go、Rust、Java/Kotlin、.NET、Ruby、PHP、Dart/Flutter、Elixir、Scala、Swift、容器映像、CI 執行器映像、Kubernetes API、Terraform 與無伺服器執行環境
- 適用情境
- 適合讓編碼助理在建置失敗前找出儲存庫中已棄用或已終止支援的相依套件、執行環境與 Actions,或在引入某個套件前先確認其生命週期狀態。
- 執行需求
- 透過 npx 從 evergreen-deprecation npm 套件以 stdio 方式在本機執行,需要 Node.js 22 或更新版本。未宣告需要帳號、API 金鑰或環境變數。掃描具確定性且離線進行,生命週期資料可從簽章資料包更新。
安裝
在 SourceWeft 中
- 開啟 儀表板中的 Evergreen,將其新增到工作區。
- 為需要使用其工具的對話啟用該服務。
Desktop only,透過 STDIO。 STDIO 服務會啟動本機處理程序,因此需要 SourceWeft 桌面主機。
其他 MCP 客戶端
參照 儲存庫 中的啟動說明。
README
Evergreen
[Evergreen — Know what breaks next.]
[CI] [Coverage] [npm] [Evergreen] [OpenSSF Scorecard] [OpenSSF Best Practices] [Slipway] [Seaworthy] [CodeQL] [skills.sh]
Evergreen finds end-of-life and deprecated runtimes, packages, and GitHub Actions in your repository, shows the exact file and line, and backs every finding with an authoritative source, a replacement, and migration steps. It runs on your machine as a CLI, a local MCP server, a GitHub Action (with SARIF for code scanning), and an Agent Skill, so people and coding agents can find lifecycle risk before it breaks a build, and check a dependency before adding it. Scans are deterministic and offline, and need no account.
Read this in: English · فارسی.
Read the public documentation, run the 90-second demo, or inspect the validation report. For AI tools, the docs are also published as llms.txt and llms-full.txt.
For coding agents
What it covers
The level in parentheses is the detector's maturity; the full list with each level is the ecosystem coverage matrix, and earned precision and recall per detector are on the accuracy dashboard. Each finding carries its rule's sources, review date, and migration steps; see Lifecycle rules. Other ecosystems are not guessed at: Evergreen reports a package it has no rule for as no-data, never as safe, and new ecosystems start from a generated detector skeleton. The compatibility matrix lists supported environments and hosts.
Why not just Renovate?
Renovate, Dependabot, and endoflife.date each answer a question Evergreen does not, and Evergreen answers one none of them does: what is ending in this repository, and where is it used. Most repositories gain from running one of them with Evergreen, so the table states what each covers and what it does better, and links the source of every claim. Details and sources per tool are in Evergreen compared with other tools.
Product principles
- Local-first: source code stays on the user's machine or CI runner.
- Deterministic core: findings do not require an LLM.
- Evidence-backed: every deprecation claim links to an authoritative source.
- Agent-ready: every human-readable report has a machine-readable equivalent.
- Extensible: ecosystems are added through detectors rather than core rewrites.
Quickstart
The five-step quickstart has copy-paste commands and expected output for each step.
Requirements: Node.js 22 or newer.
For coding agents, install the Agent Skill with one command. It teaches your agent to find, explain, and migrate these findings, and it is listed on skills.sh:
Give an agent a short answer instead of the full report: one line per finding with its id, location, severity, and replacement, most severe first, capped at 25 findings (the rest are counted) and under 8 KiB:
Verify that the CLI, local MCP server, Agent Skill, plugin foundations, and CI workspace are ready without changing configuration or uploading repository data:
See the public compatibility matrix for supported, experimental, and unsupported combinations.
Discover Evergreen's versioned capabilities and entry points programmatically:
The auto-discovery contract defines the shared identifiers used by the CLI, MCP server, Agent Skill, plugins, and CI integrations.
Create a baseline for accepted existing findings, then report only new lifecycle regressions:
Check a single dependency before adding it, without scanning a repository:
The command prints the lifecycle problem, replacement, and evidence, and exits 1 when a rule at or above --fail-on (default high) applies, 0 otherwise, 2 for a wrong command line, and 4 for a Package URL that cannot be parsed (see exit codes). A package Evergreen has no rule for reports no-data, which is not a claim that it is safe. Without a version, a package whose rules only cover some versions reports version-dependent; add a version to get a definite answer.
Lifecycle rules can be refreshed between releases from signed bundles, and scans stay offline unless you ask:
See Lifecycle data for the signing and trust model, pinning, and what happens when a download cannot be verified.
Inspect the evidence and migration direction for one result:
Generate portable migration context for a human or coding agent:
Migration packets contain rule-specific constraints and steps, exact affected files and usages, authoritative sources, and suggested verification commands. Evergreen never executes those commands automatically. See the migration packet guide.
Tell the coding agents working in a repository to check dependencies before adding them. This adds (or refreshes) a clearly marked section in AGENTS.md, or CLAUDE.md if that is the file you have; running it again changes nothing, and nothing outside the markers is touched:
To do this for every coding agent a repository is already set up for, run setup. It detects Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, and Kilo Code configuration, shows the change for each host's instruction file, and writes only after you confirm (or pass --yes). It uses the same marked section as init --agents, so existing rules are never overwritten:
Connect a coding agent through the local MCP server:
The stdio server exposes scan_repository, list_deprecations, explain_deprecation, create_migration_context, verify_migration, and check_dependency (check one package before adding it). See the local MCP guide for host configuration, the intended workflow, and privacy guarantees.
Agent Skill
Install the vendor-neutral Agent Skill from the monorepo:
Pull future revisions with:
The evergreen-deprecation Skill teaches discovery, explanation, migration, and verification while leaving detection and migration logic inside Evergreen. It is discoverable on skills.sh and has been install-validated for Codex, Claude Code, Cursor, GitHub Copilot, and Gemini CLI. See the Agent Skill guide for evaluation, compatibility, limits, and security assumptions.
Codex and Claude plugin packages are generated from that same Skill and MCP workflow. Their packaging architecture keeps host manifests thin and fails CI when either package drifts from the canonical sources.
The cross-host evaluation publishes shared-corpus results, context budgets, permission behavior, and security limitations; the same checks block release regressions in npm run check.
Evergreen runs locally and does not upload repository contents. Which commands read the filesystem, read the environment, spawn processes, or use the network is spelled out in the command and surface access table (also summarized in SECURITY.md).
Development
The initial detector reports unsupported major versions of five first-party actions with exact file and line locations:
actions/checkoutactions/setup-nodeactions/cacheactions/upload-artifactactions/download-artifact
Pinned commit SHAs and dynamic expressions are intentionally left unclassified until Evergreen can resolve them without guessing.
The npm detector also reads package.json, npm/pnpm/Yarn lockfiles, Node.js runtime declarations, and a small evidence-backed registry of deprecated direct dependencies. Use evergreen explain <finding-id> to inspect a finding and its sources. If a finding is wrong, evergreen report-issue <finding-id> prints a Markdown report with the rule, its evidence, and a few redacted lines of the declaring file, and never opens an issue or uses the network.
The Python detector reads PEP 621 and Poetry metadata from pyproject.toml, requirements*.txt, common runtime-version files, and uv/Poetry/PDM/Pipenv lockfiles. It reports unsupported Python declarations and lifecycle risks in direct dependencies while ignoring transitive-only lockfile entries.
Source usage analysis
Package lifecycle findings now include the concrete imports, calls, and configuration keys that make a migration necessary. Matching is language-aware and alias-aware for JavaScript, TypeScript, and Python, with configuration-key support for JSON, YAML, TOML, INI, and Python settings. Each match includes its exact file, line, column, and source excerpt, plus a migration-impact estimate based on affected usages and files.
The analyzer scans the repository once for a batch of detector contracts and ignores generated, dependency, build, and environment directories. Run the repeatable accuracy and scan-time benchmark with:
See the benchmark notes for the corpus and interpretation.
GitHub Action
Evergreen can annotate pull requests, suppress accepted findings with a baseline, fail on a chosen severity, and upload the complete JSON report:
Pin a full commit SHA instead of a version tag when your threat model requires immutable third-party action references. See the GitHub Action guide for setup, inputs, permissions, artifacts, and privacy boundaries.
Detector SDK
External detectors can use the versioned interface exported by evergreen-deprecation/sdk. The scan engine composes compatible detectors without importing any built-in implementation.
See the detector authoring guide and the minimal detector example.
Initial product shape
The CLI is the product. Detectors extend it, GitHub Actions automate it, and the local MCP server exposes it to agents. A hosted backend is intentionally outside the roadmap; lifecycle data updates through a signed, offline-verifiable data channel instead.
See the roadmap, architecture, brand guide, contribution guide, and security policy.
Community
Questions, ideas, and things you built with Evergreen belong in GitHub Discussions: use Q&A to ask, Ideas to propose, and Show and tell to share. Use issues for bugs, lifecycle rule requests, and ecosystem requests. How decisions are made, who reviews what, and what happens when a detector loses its owner is in GOVERNANCE.md. Who owns each detector is in MAINTAINERS.md.
License and brand
Evergreen source code is licensed under the Apache License 2.0. The
lifecycle dataset in packages/data (published as evergreen-data)
is licensed under CC BY 4.0; its attribution notice is in
packages/data/ATTRIBUTION.md. The
Evergreen name, logo, and files in brand/ are proprietary brand assets
and are covered by separate brand asset terms.
來源:README.md,提交 7cdd0e5
工具
0版本歷史
7- v0.7.3最新Nov 7, 2026
- v0.7.2Nov 3, 2026
- v0.7.1Oct 29, 2026
- v0.6.0Oct 25, 2026
- v0.5.0Oct 25, 2026
- v0.3.0Oct 18, 2026
- v0.2.0Oct 18, 2026
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