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Agent Skill · 研究检索

ocas-weave(奥卡斯编织)

ocas-weave 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

ocas-weave 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为需要联网;许可证为 MIT-0,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 16,417。

总安装 7,197周安装 306GitHub Stars 公开资料未说明下载 2,521核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
2.3.0

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:ocas-weave(奥卡斯编织)
来源仓库:https://github.com/indigokarasu/ocas-weave
安装命令:
openclaw skills install ocas-weave
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 OpenClaw 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

ClawHubOpenClaw
openclaw skills install ocas-weave

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

维护私人社交图谱,记录人员关系与共享经历。适合回忆提醒、礼物推荐和招待安排。ocas-weave 属于研究检索类 Skill,可作为该场景下的辅助能力补充。安装后可添加联系人并关联偏好与历史事件。适用宿主包括 OpenClaw,接入前应确认版本、权限和运行环境要求。数据存储于本地或私有实例,不支持云端同步。

涉及个人信息时应加密存储并限制访问权限。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install ocas-weave;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

ocas-weave 怎么安装?

在终端执行 openclaw skills install ocas-weave。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

ocas-weave 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

ocas-weave 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

ocas-weave 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

ocas-weave 用的人多吗?

公开数据是累计安装 7,197 次,近一周安装 306 次,下载 2,521 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

ocas-weave 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。

先想清楚的地方

  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
ocas-weave

奥卡斯编织 · 本页

7,197—需要联网MIT-0有提醒

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
ocas-weave
source
https://github.com/indigokarasu/weave
install
openclaw skill install https://github.com/indigokarasu/weave
description
Use when storing or retrieving facts about people, recording relationships, preparing for meetings, finding gift ideas, discovering connections between people, or syncing contacts. Maintains a private provenance-backed social graph (LadybugDB). Trigger phrases: 'who do I know in', 'what does X like', 'add this person', 'relationship with', 'gift ideas for', 'sync contacts', 'prepare for meeting with', 'update weave'. Do not use for OSINT investigations (use Scout) or general web research (use Sift).
metadata
{"openclaw":{"emoji":"🕸️"}}

Weave

Weave maintains a private, provenance-backed social graph of people, relationships, preferences, and shared experiences — queryable for meeting prep, gift ideas, hosting, introductions, city connections, and serendipity discovery. Every stored fact carries source type, reference, timestamp, and confidence score; the graph never silently merges two person records and never writes back to external systems without explicit per-sync approval. All queries use Cypher — no SQL. The database initializes automatically on first use.

When to use

  • Store or update information about a person, relationship, or preference
  • Look up who someone is, how they relate to others, or what they like
  • Prepare for a meeting, dinner, or introduction
  • Find who you know in a given city
  • Generate gift ideas grounded in known preferences
  • Discover serendipity connections between people
  • Sync contacts from Google Contacts or Clay

When not to use

  • Web research without a social graph need — use Sift
  • OSINT investigations on people — use Scout
  • CRM or sales pipeline automation
  • Personality profiling without evidence

Responsibility boundary

Weave owns the private social graph: people, relationships, preferences, and shared experiences.

Weave does not own: general world knowledge (Elephas/Chronicle), OSINT research (Scout), web research (Sift), task management (Triage).

Weave is a standalone database. It does not write to Chronicle and has no runtime dependency on Chronicle. If a person in Weave also exists in Chronicle, Chronicle may store a weave:person_id reference on its Entity node. That is Chronicle's concern, not Weave's.

Storage layout

~/openclaw/db/ocas-weave/
  weave.lbug          — LadybugDB database (auto-created on first use)
  config.json         — connector and sync configuration
  staging/            — temporary import/export files

~/openclaw/journals/ocas-weave/
  YYYY-MM-DD/
    {run_id}.json     — one journal per run

Default config.json:

{
  "skill_id": "ocas-weave",
  "skill_version": "2.3.0",
  "config_version": "1",
  "created_at": "",
  "updated_at": "",
  "writeback": {
    "google_contacts": false,
    "clay": false
  },
  "last_sync": {
    "google_contacts": null,
    "clay": null
  },
  "retention": {
    "days": 0
  }
}

Database rules

LadybugDB is an embedded single-file database. One READ_WRITE process at a time. If another process holds the lock, operations fail immediately with a lock error — do not retry silently, surface the error.

Multiple READ_ONLY connections are safe simultaneously. COPY FROM is for bulk import (>100 rows). MERGE is for sporadic single-record upserts. Never loop MERGE over bulk data.

Auto-initialization

Every command that opens the database runs _ensure_init() first. No manual init command is needed on first use.

Read references/init_pattern.md for the _open_db implementation pattern. Full DDL is in references/schemas.md.

Commands

weave.upsert.person -- Add or update a person. Auto-inits DB on first call. MERGE on id. Read back after write; report failure if no row returned — never claim success unconfirmed.

weave.upsert.relationship -- Add or update a Knows edge. Confirm both Person nodes exist first. Halt and report which is missing.

weave.upsert.preference -- Store a provenance-backed preference. Each preference is a distinct CREATE (not merged). Link to Person via HasPreference edge.

weave.import.csv -- Bulk import contacts via COPY FROM. Read references/import_export.md. Pre-process CSV to staging dir first. Check CALL show_warnings() RETURN * after. Report: N imported, N skipped (with reasons), N failed.

weave.query -- Query the graph. Read references/query_patterns.md. Modes: lookup, connection, serendipity, city, summarize, gift. Return only stored facts with provenance. Never speculate.

weave.attach -- Query an external skill database read-only. Read references/cross_db.md.

weave.export -- Export data to staging dir via COPY TO. Read references/import_export.md.

weave.sync.google-contacts -- Bidirectional sync with Google Contacts. Read references/connectors.md. Inbound before outbound. Outbound requires writeback.google_contacts: true AND explicit per-sync approval.

weave.sync.clay -- Bidirectional sync with Clay. Read references/connectors.md. Clay is enrichment source — Weave provenance wins conflicts. Outbound requires writeback.clay: true AND explicit approval.

weave.project.vcard -- Generate vCard 4.0 draft. Read references/vcard_projection.md. Omit fields with confidence below 0.7. Label DRAFT. Requires explicit approval before writeback.

weave.writeback.contacts -- Push records to Google Contacts or Clay. Disabled by default. Requires config enablement AND per-action user approval.

weave.init -- Diagnostic and repair command. Checks schema, creates missing tables, verifies indexes. Use when troubleshooting, not as a prerequisite — the database initializes automatically on first use.

weave.status -- Report graph health and config state.

CALL show_tables() RETURN *;
MATCH (p:Person) RETURN count(p) AS people;
MATCH ()-[r:Knows]->() RETURN count(r) AS relationships;
MATCH (pref:Preference) RETURN count(pref) AS preferences;
CALL show_warnings() RETURN *;

weave.journal -- Write journal for the current run. Read references/journal.md. Called at end of every run. Journals are immutable after write.

weave.update -- Pull latest skill package from GitHub source. Preserves journals and data.

Run completion

After every Weave command that reads or writes data:

  1. Persist any new or updated records to the database
  2. Log material decisions to decisions.jsonl
  3. Write journal via weave.journal — Observation Journal for queries/upserts/imports, Action Journal for syncs/writebacks

Provenance

Every written fact requires: source_type (direct / inferred / imported / user-stated), source_ref, record_time (ISO 8601), confidence (0.0–1.0). Use event_time when the real-world occurrence has a distinct time. Never write facts without provenance.

Constraints

  • Never use SQL.
  • Never report a write as successful before read-back confirms it.
  • Never parse or modify .lbug, .wal, .shadow, or .tmp files directly.
  • Never write to Chronicle or any other skill's database.
  • Never silently collapse two Person records into one.
  • Use ontology standard relationship types in Knows.rel_type.
  • Store useful, durable, socially actionable facts only.
  • No outbound sync without explicit per-sync user approval.
  • Surface lock errors immediately.
  • Write a journal at the end of every run. Runs missing journals are invalid.

OKRs

Universal OKRs from spec-ocas-journal.md apply. Weave-specific:

skill_okrs:
  - name: person_record_completeness
    metric: fraction of Person nodes with name + (email or phone) + record_time
    direction: maximize
    target: 0.80
    evaluation_window: 30_runs
  - name: sync_success_rate
    metric: fraction of sync runs with zero failed records
    direction: maximize
    target: 0.90
    evaluation_window: 30_runs
  - name: import_skip_rate
    metric: fraction of imported rows skipped due to missing required fields
    direction: minimize
    target: 0.05
    evaluation_window: 30_runs
  - name: query_provenance_coverage
    metric: fraction of returned facts carrying source_ref and record_time
    direction: maximize
    target: 1.0
    evaluation_window: 30_runs

Optional skill cooperation

  • Elephas — read Chronicle read-only for entity enrichment (optional, degrades gracefully if absent)
  • Scout — receive OSINT findings about people as upsert candidates
  • Dispatch — provide social graph context for communication drafting

Journal outputs

  • Observation Journal — query runs, upsert runs, import runs
  • Action Journal — sync runs, writeback runs

Initialization

On first invocation of any Weave command, _open_db() handles auto-initialization:

  1. Create ~/openclaw/db/ocas-weave/ and subdirectories (staging/)
  2. Write default config.json with ConfigBase fields if absent
  3. Create ~/openclaw/journals/ocas-weave/
  4. Open database (auto-creates weave.lbug and runs DDL if tables absent)
  5. Register cron job weave:update if not already present (check openclaw cron list first)
  6. Log initialization as a DecisionRecord

Background tasks

Job nameMechanismScheduleCommand
weave:updatecron0 0 * * * (midnight daily)weave.update
openclaw cron add --name weave:update --schedule "0 0 * * *" --command "weave.update" --sessionTarget isolated --lightContext true --timezone America/Los_Angeles

Self-update

weave.update pulls the latest package from the source: URL in this file's frontmatter. Runs silently — no output unless the version changed or an error occurred.

  1. Read source: from frontmatter → extract {owner}/{repo} from URL
  2. Read local version from skill.json
  3. Fetch remote version: gh api "repos/{owner}/{repo}/contents/skill.json" --jq '.content' | base64 -d | python3 -c "import sys,json;print(json.load(sys.stdin)['version'])"
  4. If remote version equals local version → stop silently
  5. Download and install:
   TMPDIR=$(mktemp -d)
   gh api "repos/{owner}/{repo}/tarball/main" > "$TMPDIR/archive.tar.gz"
   mkdir "$TMPDIR/extracted"
   tar xzf "$TMPDIR/archive.tar.gz" -C "$TMPDIR/extracted" --strip-components=1
   cp -R "$TMPDIR/extracted/"* ./
   rm -rf "$TMPDIR"
  1. On failure → retry once. If second attempt fails, report the error and stop.
  2. Output exactly: I updated Weave from version {old} to {new}

Visibility

public

Support file map

FileWhen to read
references/schemas.mdBefore any DDL, upsert, or import; before weave.init
references/init_pattern.mdWhen implementing _open_db or troubleshooting initialization
references/query_patterns.mdBefore any weave.query call
references/import_export.mdBefore any COPY FROM or COPY TO operation
references/cross_db.mdBefore any weave.attach call or Chronicle enrichment query
references/connectors.mdBefore any sync with Google Contacts or Clay
references/vcard_projection.mdBefore weave.project.vcard
references/journal.mdBefore weave.journal; at end of every run

平台分布

OpenClaw

94.79%
按下载量换算2,390

安全审计

VirusTotal

可疑

ClawScan

可疑

Static analysis

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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