arcrun — AI workflow execution engine (clean history)
Self-hosted 開源:WASM 零件 + recipe + cypher-executor,跑在你自己的 Cloudflare。 此為重建的乾淨歷史起點(移除曾誤 commit 的 GCP SA 金鑰,舊歷史保留在 richblack/arcrun 與本地 backup 分支)。含: - acr init --self-hosted installer(建 KV/R2 + codeload 拉預編譯 wasm + wrangler deploy + seed recipe) - recipe push 把關(資料外流提醒 + 打通檢查) - 19 個正當零件預編譯 wasm(claude_api/km_writer/kbdb_upsert_block 排除:違反 DECISIONS §1) - CLI / cypher-executor / registry / 完整 SDD Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
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# github-issue-bot
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## 解決什麼問題
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開源專案維護苦:每天好幾個 issue 進來,要先看 → 分流 → 引導用戶補資訊。
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這個 bot 自動做第一輪:分類 / 評估嚴重度 / 留有意義的 comment / 加 label。
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## 前置
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1. 在 GitHub repo settings → Webhooks → 加 webhook:
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- URL: `https://cypher.arcrun.dev/webhooks/named/github_issue_bot/trigger`
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- Content type: `application/json`
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- Events: `Issues (opened)`
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- 加 secret header `X-Arcrun-API-Key: ak_xxx`
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2. 設 credential `GITHUB_BOT_TOKEN`(一支 PAT 或 GitHub App token)
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## 預期結果
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新 issue 開出來 30 秒後,bot 就 comment + 加標籤了。
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## 改成你自己的
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- prompt 改為你的專案 conventions(用詞、語氣)
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- severity / category enum 改為你的分類
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- 加 conditional:critical 自動 telegram 通知 maintainer
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- 加 KBDB 存歷史 issue + claude 分析 → 用 RAG 找重複 issue
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- 加 `if_control`:若 issue body 有 `traceback` 自動 reproduce
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## 為什麼這 pattern 重要
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- LLM 做「結構化判斷」比寫 if-else 強:能讀人類自然語言、抓上下文、判斷模糊邊界
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- GitHub webhook → workflow 是最常見「外部 event → 處理」場景,所有 SaaS webhook 都類似
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## 學到什麼
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- 多步串聯(analyze → comment → label)每步都有 next,ON_SUCCESS 串
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- `{{analyze.X}}` 從 claude_api JSON 自動展開到下游
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- 同一個 API(GitHub)多次 call 共享 `Authorization` header
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- 嚴重度 / 類別這類 LLM 判斷,用 enum + required_fields 確保結構穩定
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["github", "webhook", "llm", "automation", "triage", "external-api"]
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name: github_issue_bot
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description: GH webhook 收新 issue → claude 分析 → 自動留 comment + 加 label
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flow:
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- "input >> ON_SUCCESS >> analyze"
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- "analyze >> ON_SUCCESS >> add_comment"
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- "add_comment >> ON_SUCCESS >> add_labels"
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config:
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analyze:
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component: claude_api
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timeout_ms: 30000
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_recipe_output_format: json
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_recipe_output_required_fields:
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- severity
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- category
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- first_response
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prompt: |
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你是 GitHub issue 第一線分流員。對下列 issue 給出:
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- severity: "critical" | "high" | "medium" | "low"
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- category: "bug" | "feature" | "doc" | "question" | "other"
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- first_response: 一段 markdown,禮貌、有用、不假裝是真人
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若是 bug,guide 用戶提供 reproduce steps;若 question 直接回答;
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若 feature 引導去 discussion;若 doc 直接收。
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Issue:
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Title: {{input.issue.title}}
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Body: {{input.issue.body}}
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add_comment:
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component: http_request
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url: "https://api.github.com/repos/{{input.repository.full_name}}/issues/{{input.issue.number}}/comments"
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method: POST
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headers:
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Authorization: "Bearer {{secret.GITHUB_BOT_TOKEN}}"
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Accept: "application/vnd.github+json"
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body_json:
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body: "{{analyze.first_response}}"
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add_labels:
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component: http_request
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url: "https://api.github.com/repos/{{input.repository.full_name}}/issues/{{input.issue.number}}/labels"
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method: POST
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headers:
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Authorization: "Bearer {{secret.GITHUB_BOT_TOKEN}}"
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body_json:
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labels:
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- "auto-triaged"
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- "severity:{{analyze.severity}}"
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- "type:{{analyze.category}}"
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Reference in New Issue
Block a user