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write-connector

Add a new built-in OpenWiki source connector. Use when a user asks to create or implement an OpenWiki connector.

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  • SKILL.md3.2 KB

SKILL.md(原文)

インストールする前に、エージェントに与えられる指示の中身を確認できます。

Write An OpenWiki Connector

OpenWiki connectors are built-in TypeScript modules in the OSS repository. Do not create a plugin marketplace, dynamic connector package, or runtime-loaded untrusted connector. Add normal source files and tests.

Prefer Custom MCP For Arbitrary Servers

If the knowledge source already exposes a read-only MCP server (HTTP or stdio), use the built-in custom-mcp connector instead of adding a new ConnectorId:

  • Configure ~/.openwiki/connectors/custom-mcp/config.json with enabled, transport, optional allowedTools, and optional readOnlyOperations.
  • Put secrets in ~/.openwiki/.env and reference them as ${ENV_NAME} in transport headers/env.
  • Agent tools openwiki_list_mcp_tools / openwiki_call_mcp_tool accept custom-mcp.

Add a dedicated built-in connector only when you need provider-specific auth, scoping UI, or deterministic API pulls that MCP cannot express.

Required Shape

  • Add the connector to src/connectors/types.ts and src/connectors/registry.ts.
  • Implement the connector under src/connectors/sources/<connector>.ts.
  • The connector must expose a ConnectorRuntime with id, displayName, description, backend, requiredEnv, supportsAgenticDiscovery, and ingest().
  • Ingestion writes raw JSON/manifests under ~/.openwiki/connectors/<id>/raw/<run-id>/.
  • State lives in ~/.openwiki/connectors/<id>/state.json.
  • Config lives in ~/.openwiki/connectors/<id>/config.json.
  • Secrets live in ~/.openwiki/.env and are referenced only by env var name.

Security Rules

  • Never read, print, log, return, or hardcode secret values.
  • Do not store credentials in connector config, raw files, state, logs, or tests.
  • Validate connector IDs and raw file paths so reads and writes stay inside ~/.openwiki/connectors/<id>/.
  • Use deterministic ingestion code for credentialed external fetching.
  • If wrapping MCP, treat the MCP server as read-only and call only allowlisted read/dump operations from connector config.
  • Do not let untrusted connector manifests instantiate arbitrary commands or arbitrary network endpoints without explicit built-in code review.
  • For custom-mcp, users configure a reviewed built-in wrapper; still require allowedTools and/or MCP readOnlyHint before agentic tool calls (no mutating-tool heuristics beyond Notion's hosted endpoint).

Ingestion Rules

  • Git/local repos should write compact manifests and let the agent inspect the local repo as the source of truth.
  • Sources with timestamps should store per-stream cursors.
  • Sources with object metadata should store IDs, last edited timestamps, and content hashes.
  • Sources with pagination should store enough state to continue without refetching everything.
  • Raw dumps should preserve source IDs, timestamps, URLs, authors, and enough provenance for citations.

User-Facing Finish

When done, tell the user:

  • which connector files changed,
  • which env vars to set in ~/.openwiki/.env,
  • what config file to create or edit,
  • how to run openwiki personal --update to trigger ingestion,
  • which scopes/permissions the source provider requires.

レビュー

まだレビューはありません。使ってみた感想をお寄せください。

同じリポジトリのスキル

概要と使いどころ

Embed Mermaid diagrams in generated wiki pages. Use whenever documenting a runtime or request flow, a call sequence, a state machine or lifecycle, a data model or entity relationships, or non-trivial control flow, since these are clearer as a diagram than as prose. Also use when an update run touches a page that already contains a mermaid fence, or a page that contains a text fence a previous run degraded.

日本語の概要は準備中です。原文の説明を表示しています。

langchain-ai/openwiki1.7万2026年10月11日 更新

openwiki

無料

Search and read an existing repository OpenWiki when requested or needed to resolve a concrete architecture or dependency uncertainty, or initialize and update one through the resumable page-job lifecycle.

日本語の概要は準備中です。原文の説明を表示しています。

langchain-ai/openwiki1.7万2026年10月11日 更新

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