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Agent Skill · 研究检索

ocas-elephas(奥卡斯埃法斯)

ocas-elephas 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-elephas 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 14,302。

总安装 8,677周安装 351GitHub Stars 公开资料未说明下载 2,724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-elephas(奥卡斯埃法斯)
来源仓库:https://github.com/indigokarasu/ocas-elephas
安装命令:
openclaw skills install ocas-elephas
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-elephas

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。

维护长期知识图谱,解析实体身份并推广已确认事实。适合构建结构化信号库用于后续推理和决策支持。安装后从系统日志中提取信号并更新图谱索引。ocas-elephas 属于研究检索类 Skill,可作为该场景下的辅助能力补充。依赖日志质量,低质量输入可能导致实体识别偏差。输出为内部知识资产,不对外公开具体存储细节。

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-elephas;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-elephas 怎么安装?

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

ocas-elephas 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-elephas 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-elephas 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-elephas 用的人多吗?

公开数据是累计安装 8,677 次,近一周安装 351 次,下载 2,724 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-elephas 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-elephas

奥卡斯埃法斯 · 本页

8,677—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-elephas
source
https://github.com/indigokarasu/elephas
install
openclaw skill install https://github.com/indigokarasu/elephas
description
Use when querying Chronicle (the system's long-term knowledge graph), ingesting signals from skill journals, running consolidation passes, resolving entity duplicates, or promoting candidates to confirmed facts. Trigger phrases: 'what does Chronicle know about', 'query the knowledge graph', 'ingest journals', 'consolidate', 'resolve entity', 'Chronicle status', 'update elephas'. Do not use for social relationship queries (use Weave), web research (use Sift), or person-focused OSINT (use Scout).
metadata
{"openclaw":{"emoji":"🐘"}}

Elephas

Elephas is the system's long-term memory — the sole writer to Chronicle, the authoritative knowledge graph where entities, relationships, events, and inferences live permanently once confirmed. It ingests structured signals from every skill's journals, scores candidate facts for confidence, resolves identity across possible duplicates, and promotes what survives into durable Chronicle facts with full provenance. The Chronicle database initializes automatically on first use — no manual setup required.

When to use

  • Query Chronicle for entities, relationships, events, or inferences
  • Ingest new signals from skill journals
  • Run consolidation passes on pending candidates
  • Resolve entity identity (possible duplicates)
  • Promote or reject candidates
  • Check Chronicle health and pending queue

When not to use

  • Social relationship queries — use Weave
  • Web research — use Sift
  • Person-focused OSINT — use Scout
  • Direct user communication — use Dispatch

Responsibility boundary

Elephas owns Chronicle: the authoritative long-term knowledge graph for entities, places, concepts, things, and their relationships.

Only Elephas writes to Chronicle. All other skills are read-only consumers.

Elephas does not own the social graph (Weave), OSINT briefs (Scout), or web research (Sift).

Elephas and Mentor are parallel journal consumers. Elephas reads journals to extract entity knowledge. Mentor reads journals to evaluate skill performance. Neither blocks the other.

Storage layout

~/openclaw/db/ocas-elephas/
  chronicle.lbug      — Chronicle graph database (auto-created on first use)
  config.json         — consolidation and inference configuration
  staging/            — temporary files during ingestion passes
  intake/             — incoming signals from other skills
    {signal_id}.signal.json
    processed/        — moved here after ingestion

~/openclaw/journals/ocas-elephas/
  YYYY-MM-DD/
    {run_id}.json     — one Action Journal per consolidation or promotion run

Default config.json:

{
  "skill_id": "ocas-elephas",
  "skill_version": "2.3.0",
  "config_version": "1",
  "created_at": "",
  "updated_at": "",
  "consolidation": {
    "immediate_interval_minutes": 15,
    "deep_interval_hours": 24
  },
  "identity": {
    "auto_merge_threshold": 0.90,
    "flag_review_threshold": 0.70
  },
  "inference": {
    "enabled": true,
    "min_supporting_nodes": 3
  },
  "retention": {
    "days": 0
  }
}

Database rules

LadybugDB is an embedded single-file database. One READ_WRITE process at a time. Other skills open chronicle.lbug as READ_ONLY only — Elephas holds the READ_WRITE connection during active passes.

Surface lock errors immediately. Do not retry silently.

Auto-initialization

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

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

Commands

elephas.ingest.journals -- Ingest structured signals from skill journal files and signal intake directory. Read references/ingestion_pipeline.md. Auto-inits on first call. Writes Action Journal.

elephas.consolidate.immediate -- Immediate consolidation pass. Score candidate confidence, promote above threshold, flag possible matches. Writes Action Journal.

elephas.consolidate.deep -- Deep pass: full identity reconciliation, inference generation, graph cleanup. Writes Action Journal.

elephas.identity.resolve -- Attempt to resolve whether two Entity records refer to the same real-world entity. Read references/ingestion_pipeline.md → Deduplication. Never silently collapse records. Writes Action Journal.

elephas.identity.merge -- Merge two confirmed-same Entity records. Always reversible. Append to merge_history. Writes Action Journal.

elephas.candidates.list -- List pending candidates by confidence tier and age.

elephas.candidates.promote -- Manually promote a candidate to a confirmed Chronicle fact. Requires at least one supporting signal. Writes Action Journal.

elephas.candidates.reject -- Reject a candidate with stated reason. Writes Action Journal.

elephas.query -- Query Chronicle for entities, relationships, events, or inferences. Read references/schemas.md for node types and Cypher patterns. All queries are read-only. Returns only confirmed facts unless include_candidates=true specified.

elephas.init -- Diagnostic and repair command. Checks schema, creates missing tables, verifies indexes. Use when troubleshooting — the database initializes automatically on first use.

elephas.status -- Report Chronicle health.

CALL show_tables() RETURN *;
MATCH (e:Entity) RETURN count(e) AS entities;
MATCH (p:Place) RETURN count(p) AS places;
MATCH (c:Concept) RETURN count(c) AS concepts;
MATCH (s:Signal {status: 'active'}) RETURN count(s) AS pending_signals;
MATCH (c:Candidate {status: 'pending'}) RETURN count(c) AS pending_candidates;
MATCH ()-[r]->() RETURN count(r) AS relationships;
CALL show_warnings() RETURN *;

Also report: last consolidation timestamps, pending identity reviews, inference count, intake queue depth.

elephas.journal -- Write Action Journal for the current run. Read references/journal.md. Called at end of every consolidation, promotion, merge, or rejection run.

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

Run completion

After every Elephas command that modifies Chronicle or processes signals:

  1. Process all files in ~/openclaw/db/ocas-elephas/intake/; move processed files to intake/processed/
  2. Persist ingestion results, promotion decisions, and merge records
  3. Log material decisions to decisions.jsonl (if data directory exists)
  4. Write journal via elephas.journal

Memory lifecycle

Skill Journal / Signal Intake
  → Signal (immutable after creation)
    → Candidate (pending until confirmed, rejected, or merged)
      → Chronicle Fact (persists indefinitely)
      → Inference (separate, never overwrites facts)

Consolidation passes

Immediate (every 15 min) -- creates candidates, scores confidence, promotes high-confidence. Scheduled -- promotes remaining, deduplicates. Deep (every 24 hr) -- full identity reconciliation, inference generation, graph cleanup.

Identity resolution rules

States: distinct (default), possible_match, confirmed_same. Merges are always reversible.

Resolution precedence: exact identifier match → name+location with corroboration → behavioral pattern match.

Ambiguous cases preserve separation. Never silently collapse records.

Write authority

Only Elephas writes to Chronicle. Other skills open chronicle.lbug as READ_ONLY only.

Elephas does not write to any other skill's database.

OKRs

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

skill_okrs:
  - name: promotion_precision
    metric: fraction of promoted candidates uncontradicted after 30 days
    direction: maximize
    target: 0.90
    evaluation_window: 30_runs
  - name: identity_merge_accuracy
    metric: fraction of auto-merges not subsequently reversed by human review
    direction: maximize
    target: 0.95
    evaluation_window: 30_runs
  - name: candidate_queue_age
    metric: median age of pending candidates in hours
    direction: minimize
    target: 24
    evaluation_window: 30_runs
  - name: ingestion_coverage
    metric: fraction of journal files ingested within one consolidation cycle
    direction: maximize
    target: 0.99
    evaluation_window: 30_runs

Optional skill cooperation

  • All skills — ingest structured signals from skill journals and signal intake
  • Weave — read-only cross-DB queries for social graph enrichment
  • Mentor — Mentor reads Chronicle (read-only) for evaluation context

Journal outputs

Action Journal — every consolidation, promotion, merge, rejection, and ingestion run.

Initialization

On first invocation of any Elephas command, run elephas.init:

  1. Create ~/openclaw/db/ocas-elephas/ and subdirectories (staging/, intake/, intake/processed/)
  2. Write default config.json with ConfigBase fields if absent
  3. Create ~/openclaw/journals/ocas-elephas/
  4. Open database with _open_db() which auto-creates chronicle.lbug and runs DDL if needed
  5. Register cron jobs elephas:ingest, elephas:deep, and elephas:update if not already present (check openclaw cron list first)
  6. Log initialization as a DecisionRecord

Background tasks

Job nameMechanismScheduleCommand
elephas:ingestcron*/15 * * * * (every 15 min)elephas.ingest.journals then elephas.consolidate.immediate
elephas:deepcron0 4 * * * (daily 4am)elephas.consolidate.deep — full identity reconciliation, inference, cleanup
elephas:updatecron0 0 * * * (midnight daily)elephas.update

Cron options: sessionTarget: isolated, lightContext: true, wakeMode: next-heartbeat.

Registration during elephas.init:

openclaw cron list
# If elephas:ingest absent:
openclaw cron add --name elephas:ingest --schedule "*/15 * * * *" --command "elephas.ingest.journals && elephas.consolidate.immediate" --sessionTarget isolated --lightContext true --wakeMode next-heartbeat --timezone America/Los_Angeles
# If elephas:deep absent:
openclaw cron add --name elephas:deep --schedule "0 4 * * *" --command "elephas.consolidate.deep" --sessionTarget isolated --lightContext true --wakeMode next-heartbeat --timezone America/Los_Angeles
# If elephas:update absent:
openclaw cron add --name elephas:update --schedule "0 0 * * *" --command "elephas.update" --sessionTarget isolated --lightContext true --timezone America/Los_Angeles

Self-update

elephas.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 Elephas from version {old} to {new}

Visibility

public

Support file map

FileWhen to read
references/schemas.mdBefore any DDL, query, or data write; before elephas.init
references/init_pattern.mdWhen implementing _open_db or troubleshooting initialization
references/ontology.mdWhen evaluating entity types, relationship types, or identity rules
references/ingestion_pipeline.mdBefore elephas.ingest.journals or any consolidation pass
references/journal.mdBefore elephas.journal; at end of every run

平台分布

OpenClaw

72.61%
按下载量换算1,978

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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