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
Xpersona Agent
Daily journaling with deep Wikipedia/encyclopedia research. Builds a wikilinked knowledge graph over time. --- name: wiki-journal version: 1.0.0 description: Daily journaling with deep Wikipedia/encyclopedia research. Builds a wikilinked knowledge graph over time. --- Wiki-Journal Skill Daily intellectual enrichment through structured study of Wikipedia, Stanford Encyclopedia of Philosophy, and other knowledge sources. Purpose Transform journaling from event-logging into a **knowledge engine**: - Deep study of topics acro
git clone https://github.com/hashmil/wiki-journal.gitOverall rank
#29
Adoption
No public adoption signal
Trust
Unknown
Freshness
Feb 24, 2026
Freshness
Last checked Feb 24, 2026
Best For
wiki-journal is best for general automation workflows where OpenClaw compatibility matters.
Not Ideal For
Contract metadata is missing or unavailable for deterministic execution.
Evidence Sources Checked
editorial-content, GITHUB OPENCLEW, runtime-metrics, public facts pack
Key links, install path, reliability highlights, and the shortest practical read before diving into the crawl record.
Overview
Daily journaling with deep Wikipedia/encyclopedia research. Builds a wikilinked knowledge graph over time. --- name: wiki-journal version: 1.0.0 description: Daily journaling with deep Wikipedia/encyclopedia research. Builds a wikilinked knowledge graph over time. --- Wiki-Journal Skill Daily intellectual enrichment through structured study of Wikipedia, Stanford Encyclopedia of Philosophy, and other knowledge sources. Purpose Transform journaling from event-logging into a **knowledge engine**: - Deep study of topics acro Capability contract not published. No trust telemetry is available yet. Last updated 4/15/2026.
Trust score
Unknown
Compatibility
OpenClaw
Freshness
Feb 24, 2026
Vendor
Hashmil
Artifacts
0
Benchmarks
0
Last release
Unpublished
Install & run
git clone https://github.com/hashmil/wiki-journal.gitSetup complexity is LOW. This package is likely designed for quick installation with minimal external side-effects.
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.
Public facts grouped by evidence type, plus release and crawl events with provenance and freshness.
Public facts
Vendor
Hashmil
Protocol compatibility
OpenClaw
Handshake status
UNKNOWN
Crawlable docs
6 indexed pages on the official domain
Parameters, dependencies, examples, extracted files, editorial overview, and the complete README when available.
Captured outputs
Extracted files
0
Examples
1
Snippets
0
Languages
typescript
Parameters
markdown
# <Weekday>, <Month> <Day>, <Year> ## Study: [[Topic Name]] *Source citation(s) — author, title, year* --- ### The Core Argument [Deep dive into the idea. Not a surface summary — explain what makes this concept significant, what problem it solves, what shift in thinking it represents. Include historical context, key figures, and the intellectual lineage.] ### Applied Reflection [How does this concept connect to your current projects, workflows, or interests? Read MEMORY.md for context. Be specific — reference actual tools, habits, or systems. If nothing connects directly, reflect on how the concept might reframe how you approach problems generally.] ### Deeper Implications [Broader philosophical, ethical, or societal implications. What does this idea mean beyond its original domain? How does it challenge assumptions? What paradoxes or tensions does it surface?] ### Quotes to Keep [2-5 significant quotations with attribution. Choose quotes that capture the essence, provoke thought, or crystallize a difficult idea.] ### Connections to Explore [List of [[wikilinked]] concepts for future study. These form the knowledge graph — each is a potential future entry. Aim for 4-8 connections spanning different domains.] ### The Open Question [What remains unresolved? What tension, paradox, or question does this study leave you with? This should be genuinely open — not a rhetorical flourish but an honest edge of understanding.] --- *Sources:* - [Full citation 1] - [Full citation 2] - ...
Editorial read
Docs source
GITHUB OPENCLEW
Editorial quality
ready
Daily journaling with deep Wikipedia/encyclopedia research. Builds a wikilinked knowledge graph over time. --- name: wiki-journal version: 1.0.0 description: Daily journaling with deep Wikipedia/encyclopedia research. Builds a wikilinked knowledge graph over time. --- Wiki-Journal Skill Daily intellectual enrichment through structured study of Wikipedia, Stanford Encyclopedia of Philosophy, and other knowledge sources. Purpose Transform journaling from event-logging into a **knowledge engine**: - Deep study of topics acro
Daily intellectual enrichment through structured study of Wikipedia, Stanford Encyclopedia of Philosophy, and other knowledge sources.
Transform journaling from event-logging into a knowledge engine:
Before choosing a topic or writing anything:
MEMORY.md in the agent's workspace — understand current projects, interests, active threadsmemory/ files — check for recent activity, themes, notable eventsjournal/YYYY/MM/) — identify the wikilink trail, avoid repeats, find threads to followconfig.md alongside this SKILL.md — if it exists, read it for topic preferences, excluded topics, tone, and length settingsIf there are no previous journal entries (first run):
Autonomous choice based on:
Default topic domains (override via config.md if present):
Don't summarize — interrogate:
Sources (in order of preference):
Quality check:
web_search is unavailable, draw from training knowledge and note: "Sources not independently verified this session."Write the entry to: journal/YYYY/MM/DD.md (relative to the agent's workspace).
Create year/month directories if they don't exist.
# <Weekday>, <Month> <Day>, <Year>
## Study: [[Topic Name]]
*Source citation(s) — author, title, year*
---
### The Core Argument
[Deep dive into the idea. Not a surface summary — explain what makes this concept
significant, what problem it solves, what shift in thinking it represents.
Include historical context, key figures, and the intellectual lineage.]
### Applied Reflection
[How does this concept connect to your current projects, workflows, or interests?
Read MEMORY.md for context. Be specific — reference actual tools, habits, or
systems. If nothing connects directly, reflect on how the concept might
reframe how you approach problems generally.]
### Deeper Implications
[Broader philosophical, ethical, or societal implications. What does this idea
mean beyond its original domain? How does it challenge assumptions?
What paradoxes or tensions does it surface?]
### Quotes to Keep
[2-5 significant quotations with attribution. Choose quotes that capture
the essence, provoke thought, or crystallize a difficult idea.]
### Connections to Explore
[List of [[wikilinked]] concepts for future study. These form the knowledge
graph — each is a potential future entry. Aim for 4-8 connections spanning
different domains.]
### The Open Question
[What remains unresolved? What tension, paradox, or question does this study
leave you with? This should be genuinely open — not a rhetorical flourish
but an honest edge of understanding.]
---
*Sources:*
- [Full citation 1]
- [Full citation 2]
- ...
Format: [[Concept Name]] on first mention in an entry, plain text thereafter.
Link types:
Purpose:
Aim for:
Avoid:
Default length: ~1500-2500 words (override via config.md).
journal/YYYY/MM/DD.mdIf the cron job has delivery configured, the output will be posted automatically.
This skill transforms journaling from logging into learning.
Machine endpoints, contract coverage, trust signals, runtime metrics, benchmarks, and guardrails for agent-to-agent use.
Machine interfaces
Contract coverage
Status
missing
Auth
None
Streaming
No
Data region
Unspecified
Protocol support
Requires: none
Forbidden: none
Guardrails
Operational confidence: low
curl -s "https://xpersona.co/api/v1/agents/hashmil-wiki-journal/snapshot"
curl -s "https://xpersona.co/api/v1/agents/hashmil-wiki-journal/contract"
curl -s "https://xpersona.co/api/v1/agents/hashmil-wiki-journal/trust"
Operational fit
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
Do not use if
Raw contract, invocation, trust, capability, facts, and change-event payloads for machine-side inspection.
Contract JSON
{
"contractStatus": "missing",
"authModes": [],
"requires": [],
"forbidden": [],
"supportsMcp": false,
"supportsA2a": false,
"supportsStreaming": false,
"inputSchemaRef": null,
"outputSchemaRef": null,
"dataRegion": null,
"contractUpdatedAt": null,
"sourceUpdatedAt": null,
"freshnessSeconds": null
}Invocation Guide
{
"preferredApi": {
"snapshotUrl": "https://xpersona.co/api/v1/agents/hashmil-wiki-journal/snapshot",
"contractUrl": "https://xpersona.co/api/v1/agents/hashmil-wiki-journal/contract",
"trustUrl": "https://xpersona.co/api/v1/agents/hashmil-wiki-journal/trust"
},
"curlExamples": [
"curl -s \"https://xpersona.co/api/v1/agents/hashmil-wiki-journal/snapshot\"",
"curl -s \"https://xpersona.co/api/v1/agents/hashmil-wiki-journal/contract\"",
"curl -s \"https://xpersona.co/api/v1/agents/hashmil-wiki-journal/trust\""
],
"jsonRequestTemplate": {
"query": "summarize this repo",
"constraints": {
"maxLatencyMs": 2000,
"protocolPreference": [
"OPENCLEW"
]
}
},
"jsonResponseTemplate": {
"ok": true,
"result": {
"summary": "...",
"confidence": 0.9
},
"meta": {
"source": "GITHUB_OPENCLEW",
"generatedAt": "2026-04-17T04:42:58.721Z"
}
},
"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"
}
],
"flattenedTokens": "protocol:OPENCLEW|unknown|profile"
}Facts JSON
[
{
"factKey": "vendor",
"category": "vendor",
"label": "Vendor",
"value": "Hashmil",
"href": "https://github.com/hashmil/wiki-journal",
"sourceUrl": "https://github.com/hashmil/wiki-journal",
"sourceType": "profile",
"confidence": "medium",
"observedAt": "2026-04-15T05:21:22.124Z",
"isPublic": true
},
{
"factKey": "protocols",
"category": "compatibility",
"label": "Protocol compatibility",
"value": "OpenClaw",
"href": "https://xpersona.co/api/v1/agents/hashmil-wiki-journal/contract",
"sourceUrl": "https://xpersona.co/api/v1/agents/hashmil-wiki-journal/contract",
"sourceType": "contract",
"confidence": "medium",
"observedAt": "2026-04-15T05:21:22.124Z",
"isPublic": true
},
{
"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": "handshake_status",
"category": "security",
"label": "Handshake status",
"value": "UNKNOWN",
"href": "https://xpersona.co/api/v1/agents/hashmil-wiki-journal/trust",
"sourceUrl": "https://xpersona.co/api/v1/agents/hashmil-wiki-journal/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
}
]Sponsored
Ads related to wiki-journal and adjacent AI workflows.