
Gitworthy
io.github.trippyogi由 GitHub 帳號 trippyogi 發布v0.3.6更新於 Oct 24, 2026
is it worth your commit? Pre-flight triage for OSS contribution targets.
概覽
Gitworthy 是本地 MCP 決策引擎,用來偵察與預檢開源貢獻目標,回傳附證據的 ACT、VERIFY 或 SKIP 判定。
- 可以做什麼
- Gitworthy 協助編碼代理在開始實作前判斷某個儲存庫 issue 是否值得投入。它會掃描並排序候選 issue,接著執行有界預檢,檢查已連結的拉取請求、未連結分支上的工作、已合併到 main 的修正、發佈落差、貢獻政策以及重複問題。結果以結構化的 ACT、VERIFY 或 SKIP 判定回傳,並附帶 checked 與 not_checked 證據欄位。CLI 與 MCP 伺服器共用同一套 TypeScript 核心。
- 適用情境
- 當代理或開發者正在挑選要貢獻的開源 issue,並希望避免重複既有工作或啟動被阻塞的任務時使用。它適合偵察某個儲存庫或組織、排序候選項目,並在投入心力前對候選清單做預檢。
- 執行需求
- 需要 Node.js 22 或更新版本。透過 npx gitworthy@latest mcp 以 stdio 在本機執行,也可選擇透過 Streamable HTTP 執行。強烈建議為真實 hunt 提供 GitHub 權杖(GITHUB_TOKEN 或 GH_TOKEN);沒有權杖時,依賴 GitHub REST 的檢查會回傳錯誤或 not_checked 項目。非回送位址的 HTTP 綁定需要 GITWORTHY_MCP_TOKEN。
安裝
在 SourceWeft 中
- 開啟 儀表板中的 Gitworthy,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
Gitworthy
The decision layer before a coding agent starts work.
Gitworthy helps coding agents scout, rank, and preflight software work before
they spend cycles implementing it. It finds the strongest candidates, checks
whether the work is already handled or blocked, and returns evidence-backed
ACT, VERIFY, or SKIP decisions for each target.
[npm] [MIT license] [Node 22+]
MCP setup · CLI · Agent workflow · Verdicts · Troubleshooting · Case studies · Roadmap · Contributing
Why Gitworthy
Coding agents make implementation cheap. Choosing the wrong task is still expensive.
An issue can look open while:
- a fix already exists on an unlinked branch;
- another contributor has an active pull request;
- the change landed on
mainbut has not been released; - the repository requires assignment before accepting work;
- a duplicate or abandoned implementation already contains the answer.
Gitworthy performs that preflight before a human or agent spends the next unit of work.
How agents use Gitworthy
The agent owns the loop. Gitworthy is the MCP decision engine it calls to scout and validate work.
There are two distinct lanes:
- Scout lane: discover, filter, rank, preflight, and return a shortlist.
- Execute lane: select, record intent, recheck fresh state, reproduce, implement, review, and submit through the repository's allowed contribution path.
ACT means “worth considering,” not “start coding blindly.” Scout results go stale, so Gitworthy should be run again when an agent actually claims or begins a target.
See docs/AGENT_WORKFLOW.md for the complete agent policy, tool-selection guide, and scout-to-execute handoff.
Use it with Cursor, ChatGPT, Hermes, or any MCP client
Local stdio (desktop / agent VM)
Streamable HTTP (Cloud Agents / mobile / iPad)
Run or deploy the same engine over HTTP and point the client at a URL:
Non-loopback binds require GITWORTHY_MCP_TOKEN. Keep GITHUB_TOKEN on the server. Full deploy and Cloud Agent notes: docs/HTTP_MCP.md. Tool descriptions, annotations, and structured results: docs/MCP.md. Portable Agent Plugins packaging (skill + MCP): docs/AGENT_PLUGINS.md.
Give the agent a policy like this:
Use Gitworthy before investing in external repository work. Use
huntto build a short ranked queue. Read each candidate'sworth_check;huntdoes not produce one global verdict. TreatACTas a queue candidate, perform the named checks onVERIFY, and removeSKIPcandidates. Before implementing a selected target, rerunworth_checkand follow the repository's contribution policy.
The token only needs read access to public repositories. For the most accurate linked-work detection, use a classic PAT or a fine-grained token with Issues: Read so Gitworthy can see timeline cross-references. Weaker tokens still work, but missing visibility is reported in not_checked.
Try it in 30 seconds
Check that your environment is ready:
Evaluate a specific issue:
Render a deterministic handoff brief from a stored decision:
Brief generation is read-only over the local store and never calls GitHub, npm, or an LLM. Stored decisions are considered stale after 24 hours; stale briefs warn and recommend recheck.
Scout and preflight a short list of contribution targets:
Use @latest for exploration. Pin a version in repeatable agent workflows and CI.
What hunt actually returns
hunt is a bounded funnel, not a bulk verdict command:
The agent should read each hunt_candidate.worth_check. Gitworthy intentionally avoids running an expensive full preflight on every issue returned by a broad scan.
ACT, VERIFY, or SKIP
A verdict is not a vibes-based score. Gitworthy returns structured evidence, the checks it completed, and the checks it could not complete.
A real preflight
A target issue in block/buzz appeared open, but a prior implementation already existed in a pull request using nearly the same title.
That case also exposed a false-positive path in duplicate detection: GitHub's issues API includes pull requests. The fix became a regression test and calibration case.
More real contribution sessions are documented in CASE_STUDIES.md.
How it works
Gitworthy combines bounded checks that answer different ways a task can be unsafe or wasteful to start.
The CLI and MCP server are thin adapters over the same TypeScript core.
Trust model
Gitworthy is designed to be useful without pretending to know more than it checked.
- Heuristic evidence cannot independently create a hard
SKIP. - Hard
SKIPrequires definitive evidence. - Failed mandatory checks cap the result at
VERIFY. - Every real result includes meaningful
checkedandnot_checkedfields. - Human-readable prose is never parsed to decide the verdict.
- Target repositories and packages are treated as hostile input.
- Telemetry is off by default. The MCP path emits no telemetry.
- Scout results are not treated as permanent; execution requires fresh revalidation.
ACT does not mean “blindly start coding.” Read the evidence, disposition, reasons, linked work, and repository policy before investing.
Agent-native output
Every core result includes a structured envelope:
signals is the load-bearing input to the decision policy. checked and not_checked are part of the result, not footnotes.
Common commands
Exit codes for check:
0— ACT10— VERIFY20— SKIP1— error
See SKILL.md for the strict contribution gates and docs/AGENT_WORKFLOW.md for the explanatory workflow guide.
Documentation
Configuration
GITHUB_TOKEN/GH_TOKENenables authenticated GitHub REST checks.- Config files are data-only JSON. Gitworthy reads user config from
~/.gitworthy/config.jsonand repository-local config from.gitworthy/config.json. - Precedence is: CLI/MCP input,
GITWORTHY_*environment variables, repository config, user config, built-in defaults.gitworthy config show --effective --jsonincludes provenance for each effective value. - Create a secret-free skeleton with
gitworthy init --repoorgitworthy init --user. Validate withgitworthy config validate. - Skill profiles (
profilein config or--skill-profile) can includelanguages,topics,preferred_ecosystems, and avoid lists; they affect scan/hunt ranking inputs only, never hard verdict policy. - Target manifests (
--manifest pathormanifest_pathin config) can list repos/orgs, include/exclude filters, per-repo npm package mappings, and target-specific overrides. Ambiguous npm package mappings are rejected. Include/exclude filters are validated and carried as manifest metadata in GW-019; full filtering consumption is deferred to GW-027. - Tokens and credentials are never persisted in config or manifests; use environment variables such as
GITHUB_TOKEN/GH_TOKEN. GITWORTHY_MCP_TOKENis the bearer secret for Streamable HTTP MCP (required for non-loopback binds).GITWORTHY_CACHE_DIRoverrides the cache under~/.gitworthy/cache.GITWORTHY_LEDGER_DIRoverrides local scout history under~/.gitworthy/ledger.GITWORTHY_TELEMETRY=onplusGITWORTHY_POSTHOG_KEYrequests optional telemetry.
Optional PostHog telemetry also requires a user-installed posthog-node package. If it is missing, Gitworthy warns once and continues with telemetry disabled.
Without a GitHub token, checks that require GitHub REST return structured errors or explicit not_checked entries. Checks that can use public git or npm endpoints still run.
Current status
Gitworthy is pre-1.0 and actively hardening its decision contract, hostile-input handling, local outcomes, evaluation corpus, and onboarding.
The 1.0 goal is a trustworthy, local-first CLI and MCP decision engine—not a hosted SaaS and not another coding agent.
See ROADMAP.md for the release ladder.
Where this is going
Gitworthy is becoming the agent-native readiness layer between task discovery and implementation:
- discover candidate work;
- rank the most promising targets;
- determine whether each is actually ready;
- return a machine-actionable next step;
- revalidate selected work before execution;
- record what happened;
- improve future decisions from real outcomes.
The open-source decision engine stays local-first and MIT licensed. Possible post-1.0 layers include shared outcome history, scheduled hunts, private-repository coordination, and an API for agent dispatch.
Contributing
Gitworthy is built from real cases where apparently open work turned out to be handled, blocked, or unsafe to start.
The most valuable contributions are:
- examples where Gitworthy made the wrong decision;
- repositories or ecosystems it cannot inspect correctly;
- Cursor, ChatGPT, Claude Code, Codex, OpenClaw, Hermes, or other agent integrations;
- improvements to evidence quality and failure reporting;
- new frozen evaluation cases;
- documentation that helps another person get a useful result quickly.
See CONTRIBUTING.md for development setup and trust requirements.
Requirements
- Node.js 22 or newer
- A GitHub token is strongly recommended for real hunts
Security
Report vulnerabilities privately using SECURITY.md or email [email protected].
License
MIT
來源:README.md,提交 c022e45
工具
0版本歷史
1- v0.3.6最新Sep 16, 2026
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