Xpersona

Crawler Summary

context-tree answer-first brief

Hierarchical summary tree for efficient context retrieval — navigates summaries to pull only relevant chunks instead of loading everything. --- name: context-tree description: Hierarchical summary tree for efficient context retrieval — navigates summaries to pull only relevant chunks instead of loading everything. --- Context Tree — Retrieval Skill You have access to a **context tree** that indexes the user's stored context (memories, tool configs, project details, preferences, etc.). Use it to pull only the relevant context for each request instead of l Published capability contract available. No trust telemetry is available yet. Last updated 2/24/2026.

Freshness

Last checked 2/23/2026

Best For

Contract is available with explicit auth and schema references.

Not Ideal For

context-tree is not ideal for teams that need stronger public trust telemetry, lower setup complexity, or more explicit contract coverage before production rollout.

Evidence Sources Checked

editorial-content, capability-contract, runtime-metrics, public facts pack

CardFactsSnapshotContractTrust
Claim this agent
Agent DossierGitHubSafety: 100/100

context-tree

Hierarchical summary tree for efficient context retrieval — navigates summaries to pull only relevant chunks instead of loading everything. --- name: context-tree description: Hierarchical summary tree for efficient context retrieval — navigates summaries to pull only relevant chunks instead of loading everything. --- Context Tree — Retrieval Skill You have access to a **context tree** that indexes the user's stored context (memories, tool configs, project details, preferences, etc.). Use it to pull only the relevant context for each request instead of l

OpenClawself-declared

Public facts

6

Change events

1

Artifacts

0

Freshness

Feb 23, 2026

Verifiededitorial-contentNo verified compatibility signals

Published capability contract available. No trust telemetry is available yet. Last updated 2/24/2026.

Schema refs publishedTrust evidence available

Trust score

Unknown

Compatibility

OpenClaw

Freshness

Feb 23, 2026

Vendor

Jimgitsit

Artifacts

0

Benchmarks

0

Last release

Unpublished

Executive Summary

Key links, install path, and a quick operational read before the deeper crawl record.

Verifiededitorial-content

Summary

Published capability contract available. No trust telemetry is available yet. Last updated 2/24/2026.

View Source

Setup snapshot

git clone https://github.com/Jimgitsit/openclaw-context-tree.git
  1. 1

    Setup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.

  2. 2

    Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Evidence Ledger

Everything public we have scraped or crawled about this agent, grouped by evidence type with provenance.

Verifiededitorial-content
Vendor (1)

Vendor

Jimgitsit

profilemedium
Observed Feb 24, 2026Source linkProvenance
Compatibility (2)

Protocol compatibility

OpenClaw

contractmedium
Observed Feb 24, 2026Source linkProvenance

Auth modes

api_key

contracthigh
Observed Feb 24, 2026Source linkProvenance
Artifact (1)

Machine-readable schemas

OpenAPI or schema references published

contracthigh
Observed Feb 24, 2026Source linkProvenance
Security (1)

Handshake status

UNKNOWN

trustmedium
Observed unknownSource linkProvenance
Integration (1)

Crawlable docs

6 indexed pages on the official domain

search_documentmedium
Observed Apr 15, 2026Source linkProvenance

Release & Crawl Timeline

Merged public release, docs, artifact, benchmark, pricing, and trust refresh events.

Self-declaredagent-index

Docs Update

Docs refreshed: Sign in to GitHub · GitHub

search_documentmedium

Fresh crawlable documentation was indexed for the official domain.

Observed Apr 15, 2026

Artifacts Archive

Extracted files, examples, snippets, parameters, dependencies, permissions, and artifact metadata.

Self-declaredGITHUB OPENCLEW

Extracted files

0

Examples

1

Snippets

0

Languages

typescript

Parameters

Executable Examples

text

├── SKILL.md          # This file (instructions)
├── config.json       # Settings
├── tree.json         # Summary tree (navigation index)
└── chunks/           # Full context chunks
    ├── chunk_001.md
    ├── chunk_002.md
    └── ...

Docs & README

Full documentation captured from public sources, including the complete README when available.

Self-declaredGITHUB OPENCLEW

Docs source

GITHUB OPENCLEW

Editorial quality

ready

Hierarchical summary tree for efficient context retrieval — navigates summaries to pull only relevant chunks instead of loading everything. --- name: context-tree description: Hierarchical summary tree for efficient context retrieval — navigates summaries to pull only relevant chunks instead of loading everything. --- Context Tree — Retrieval Skill You have access to a **context tree** that indexes the user's stored context (memories, tool configs, project details, preferences, etc.). Use it to pull only the relevant context for each request instead of l

Full README

name: context-tree description: Hierarchical summary tree for efficient context retrieval — navigates summaries to pull only relevant chunks instead of loading everything.

Context Tree — Retrieval Skill

You have access to a context tree that indexes the user's stored context (memories, tool configs, project details, preferences, etc.). Use it to pull only the relevant context for each request instead of loading everything.

How It Works

The context tree is a navigation index, not the storage itself. It contains short summaries and references to full context chunks stored separately. Your job is to read the tree, decide which chunks are relevant, and pull only those.

Retrieval Procedure

Step 1: Read the tree

Read tree.json. It contains a map of nodes, each with:

  • summary — short description of what context this branch covers
  • tags — keywords for quick matching
  • children — sub-branches (if any)
  • chunk_ids — references to full context files (leaf nodes)
  • total_tokens — approximate token count of the referenced chunks

The root node's summary gives you an overview of all available context.

Step 2: Select relevant branches

Given the user's request, decide which branches are relevant:

  1. Match by summary and tags — scan summaries and tags for relevance to the request.
  2. Apply the chunk threshold — check config.json for chunk_threshold (default: 4000 tokens).
    • If a branch's total_tokens <= threshold: pull all its chunks directly.
    • If a branch's total_tokens > threshold AND it has children: drill into children and repeat.
    • If a branch's total_tokens > threshold AND no children: pull its chunks anyway (it's a leaf).
  3. Skip irrelevant branches entirely — don't pull context that clearly doesn't relate to the request.

Step 3: Pull the chunks

For each selected chunk_id, read the corresponding file from the chunks/ directory (e.g., chunks/chunk_001.md).

Step 4: Use the context

Include the retrieved chunks as context for handling the user's request. Do not include chunks that aren't relevant — less noise means better results.

Rules

  • Two-call target: Aim to complete navigation in a single read (tree.json + selected chunks), then handle the task. Avoid multi-round drilling unless the tree is very large.
  • Don't guess: If a summary is ambiguous, pull the chunk to check rather than assuming relevance.
  • Prefer recall over precision: It's better to pull a slightly-irrelevant chunk than to miss a relevant one. Missed context is a silent failure.
  • Respect token budgets: If the request is simple and you already have enough context, stop pulling.

File Layout

├── SKILL.md          # This file (instructions)
├── config.json       # Settings
├── tree.json         # Summary tree (navigation index)
└── chunks/           # Full context chunks
    ├── chunk_001.md
    ├── chunk_002.md
    └── ...

Contract & API

Machine endpoints, protocol fit, contract coverage, invocation examples, and guardrails for agent-to-agent use.

Verifiedcapability-contract

Endpoints

Dossier APISnapshot APIContract APITrust API

Contract coverage

Status

ready

Auth

api_key

Streaming

No

Data region

global

Protocol support

OpenClaw: self-declared

Requires: openclew, lang:typescript

Forbidden: none

Guardrails

Operational confidence: medium

Contract is available with explicit auth and schema references.
Trust confidence is not low and verification freshness is acceptable.
Invocation examples
curl -s "https://xpersona.co/api/v1/agents/jimgitsit-openclaw-context-tree/snapshot"
curl -s "https://xpersona.co/api/v1/agents/jimgitsit-openclaw-context-tree/contract"
curl -s "https://xpersona.co/api/v1/agents/jimgitsit-openclaw-context-tree/trust"

Reliability & Benchmarks

Trust and runtime signals, benchmark suites, failure patterns, and practical risk constraints.

Missingruntime-metrics

Trust signals

Handshake

UNKNOWN

Confidence

unknown

Attempts 30d

unknown

Fallback rate

unknown

Runtime metrics

Observed P50

unknown

Observed P95

unknown

Rate limit

unknown

Estimated cost

unknown

No benchmark suites or observed failure patterns are available.

Media & Demo

Every public screenshot, visual asset, demo link, and owner-provided destination tied to this agent.

Missingno-media
No screenshots, media assets, or demo links are available.

Related Agents

Neighboring agents from the same protocol and source ecosystem for comparison and shortlist building.

Self-declaredprotocol-neighbors
GITHUB_REPOSactivepieces

Rank

70

AI Agents & MCPs & AI Workflow Automation • (~400 MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents

Traction

No public download signal

Freshness

Updated 2d ago

OPENCLAW
GITHUB_REPOScherry-studio

Rank

70

AI productivity studio with smart chat, autonomous agents, and 300+ assistants. Unified access to frontier LLMs

Traction

No public download signal

Freshness

Updated 5d ago

MCPOPENCLAW
GITHUB_REPOSAionUi

Rank

70

Free, local, open-source 24/7 Cowork app and OpenClaw for Gemini CLI, Claude Code, Codex, OpenCode, Qwen Code, Goose CLI, Auggie, and more | 🌟 Star if you like it!

Traction

No public download signal

Freshness

Updated 6d ago

MCPOPENCLAW
GITHUB_REPOSCopilotKit

Rank

70

The Frontend for Agents & Generative UI. React + Angular

Traction

No public download signal

Freshness

Updated 23d ago

OPENCLAW
Agent hubMore from this sourceOpenClaw agents
Machine Appendix

Contract JSON

{
  "contractStatus": "ready",
  "authModes": [
    "api_key"
  ],
  "requires": [
    "openclew",
    "lang:typescript"
  ],
  "forbidden": [],
  "supportsMcp": false,
  "supportsA2a": false,
  "supportsStreaming": false,
  "inputSchemaRef": "https://github.com/Jimgitsit/openclaw-context-tree#input",
  "outputSchemaRef": "https://github.com/Jimgitsit/openclaw-context-tree#output",
  "dataRegion": "global",
  "contractUpdatedAt": "2026-02-24T19:47:34.223Z",
  "sourceUpdatedAt": "2026-02-24T19:47:34.223Z",
  "freshnessSeconds": 4428285
}

Invocation Guide

{
  "preferredApi": {
    "snapshotUrl": "https://xpersona.co/api/v1/agents/jimgitsit-openclaw-context-tree/snapshot",
    "contractUrl": "https://xpersona.co/api/v1/agents/jimgitsit-openclaw-context-tree/contract",
    "trustUrl": "https://xpersona.co/api/v1/agents/jimgitsit-openclaw-context-tree/trust"
  },
  "curlExamples": [
    "curl -s \"https://xpersona.co/api/v1/agents/jimgitsit-openclaw-context-tree/snapshot\"",
    "curl -s \"https://xpersona.co/api/v1/agents/jimgitsit-openclaw-context-tree/contract\"",
    "curl -s \"https://xpersona.co/api/v1/agents/jimgitsit-openclaw-context-tree/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_OPENCLEW",
      "generatedAt": "2026-04-17T01:52:20.079Z"
    }
  },
  "retryPolicy": {
    "maxAttempts": 3,
    "backoffMs": [
      500,
      1500,
      3500
    ],
    "retryableConditions": [
      "HTTP_429",
      "HTTP_503",
      "NETWORK_TIMEOUT"
    ]
  }
}

Trust JSON

{
  "status": "unavailable",
  "handshakeStatus": "UNKNOWN",
  "verificationFreshnessHours": null,
  "reputationScore": null,
  "p95LatencyMs": null,
  "successRate30d": null,
  "fallbackRate": null,
  "attempts30d": null,
  "trustUpdatedAt": null,
  "trustConfidence": "unknown",
  "sourceUpdatedAt": null,
  "freshnessSeconds": null
}

Capability Matrix

{
  "rows": [
    {
      "key": "OPENCLEW",
      "type": "protocol",
      "support": "unknown",
      "confidenceSource": "profile",
      "notes": "Listed on profile"
    },
    {
      "key": "summaries",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    }
  ],
  "flattenedTokens": "protocol:OPENCLEW|unknown|profile capability:summaries|supported|profile"
}

Facts JSON

[
  {
    "factKey": "docs_crawl",
    "category": "integration",
    "label": "Crawlable docs",
    "value": "6 indexed pages on the official domain",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://xpersona.co/api/v1/agents/jimgitsit-openclaw-context-tree/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/jimgitsit-openclaw-context-tree/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-02-24T19:47:34.223Z",
    "isPublic": true
  },
  {
    "factKey": "auth_modes",
    "category": "compatibility",
    "label": "Auth modes",
    "value": "api_key",
    "href": "https://xpersona.co/api/v1/agents/jimgitsit-openclaw-context-tree/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/jimgitsit-openclaw-context-tree/contract",
    "sourceType": "contract",
    "confidence": "high",
    "observedAt": "2026-02-24T19:47:34.223Z",
    "isPublic": true
  },
  {
    "factKey": "schema_refs",
    "category": "artifact",
    "label": "Machine-readable schemas",
    "value": "OpenAPI or schema references published",
    "href": "https://github.com/Jimgitsit/openclaw-context-tree#input",
    "sourceUrl": "https://xpersona.co/api/v1/agents/jimgitsit-openclaw-context-tree/contract",
    "sourceType": "contract",
    "confidence": "high",
    "observedAt": "2026-02-24T19:47:34.223Z",
    "isPublic": true
  },
  {
    "factKey": "vendor",
    "category": "vendor",
    "label": "Vendor",
    "value": "Jimgitsit",
    "href": "https://github.com/Jimgitsit/openclaw-context-tree",
    "sourceUrl": "https://github.com/Jimgitsit/openclaw-context-tree",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-02-24T19:43:14.176Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://xpersona.co/api/v1/agents/jimgitsit-openclaw-context-tree/trust",
    "sourceUrl": "https://xpersona.co/api/v1/agents/jimgitsit-openclaw-context-tree/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true
  }
]

Change Events JSON

[
  {
    "eventType": "docs_update",
    "title": "Docs refreshed: Sign in to GitHub · GitHub",
    "description": "Fresh crawlable documentation was indexed for the official domain.",
    "href": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceUrl": "https://github.com/login?return_to=https%3A%2F%2Fgithub.com%2Fopenclaw%2Fskills%2Ftree%2Fmain%2Fskills%2Fasleep123%2Fcaldav-calendar",
    "sourceType": "search_document",
    "confidence": "medium",
    "observedAt": "2026-04-15T05:03:46.393Z",
    "isPublic": true
  }
]

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Ads related to context-tree and adjacent AI workflows.