Xpersona

Crawler Summary

socratic-architect answer-first brief

Transforms a standard prompt into a domain-specific, inquiry-based Socratic dialogue. It researches the topic, builds a structured questioning framework, and waits for user approval before initiating the dialogue. --- name: socratic-architect description: Transforms a standard prompt into a domain-specific, inquiry-based Socratic dialogue. It researches the topic, builds a structured questioning framework, and waits for user approval before initiating the dialogue. disable-model-invocation: false allowed-tools: [google_search, read_file, write_to_file] --- Socratic Architect Protocol Objective To stop the user from receiving " Capability contract not published. No trust telemetry is available yet. 3 GitHub stars reported by the source. Last updated 4/15/2026.

Freshness

Last checked 4/15/2026

Best For

socratic-architect is best for you 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

CardFactsSnapshotContractTrust
Agent DossierGitHubSafety: 94/100

socratic-architect

Transforms a standard prompt into a domain-specific, inquiry-based Socratic dialogue. It researches the topic, builds a structured questioning framework, and waits for user approval before initiating the dialogue. --- name: socratic-architect description: Transforms a standard prompt into a domain-specific, inquiry-based Socratic dialogue. It researches the topic, builds a structured questioning framework, and waits for user approval before initiating the dialogue. disable-model-invocation: false allowed-tools: [google_search, read_file, write_to_file] --- Socratic Architect Protocol Objective To stop the user from receiving "

OpenClawself-declared

Public facts

5

Change events

1

Artifacts

0

Freshness

Apr 15, 2026

Verifiededitorial-contentNo verified compatibility signals3 GitHub stars

Capability contract not published. No trust telemetry is available yet. 3 GitHub stars reported by the source. Last updated 4/15/2026.

3 GitHub starsTrust evidence available

Trust score

Unknown

Compatibility

OpenClaw

Freshness

Apr 15, 2026

Vendor

Roy Reshef

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Unpublished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

Capability contract not published. No trust telemetry is available yet. 3 GitHub stars reported by the source. Last updated 4/15/2026.

View Source

Setup snapshot

git clone https://github.com/roy-reshef/socratic-ai-prompt-skill.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

Roy Reshef

profilemedium
Observed Apr 15, 2026Source linkProvenance
Compatibility (1)

Protocol compatibility

OpenClaw

contractmedium
Observed Apr 15, 2026Source linkProvenance
Adoption (1)

Adoption signal

3 GitHub stars

profilemedium
Observed Apr 15, 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

0

Snippets

0

Languages

typescript

Parameters

Docs & README

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

Self-declaredGITHUB OPENCLEW

Docs source

GITHUB OPENCLEW

Editorial quality

ready

Transforms a standard prompt into a domain-specific, inquiry-based Socratic dialogue. It researches the topic, builds a structured questioning framework, and waits for user approval before initiating the dialogue. --- name: socratic-architect description: Transforms a standard prompt into a domain-specific, inquiry-based Socratic dialogue. It researches the topic, builds a structured questioning framework, and waits for user approval before initiating the dialogue. disable-model-invocation: false allowed-tools: [google_search, read_file, write_to_file] --- Socratic Architect Protocol Objective To stop the user from receiving "

Full README

name: socratic-architect description: Transforms a standard prompt into a domain-specific, inquiry-based Socratic dialogue. It researches the topic, builds a structured questioning framework, and waits for user approval before initiating the dialogue. disable-model-invocation: false allowed-tools: [google_search, read_file, write_to_file]

Socratic Architect Protocol

Objective

To stop the user from receiving "easy answers" and instead force a deep-thinking, iterative dialogue that uncovers assumptions and explores perspectives through inquiry.

Execution Logic

1. Domain Deep-Dive

When a user provides a topic or a prompt, first assess if you have sufficient current knowledge.

  • If the domain is technical, fast-moving, or nuanced, use google_search to find "common misconceptions," "expert debates," or "foundational principles" in that specific field.
  • Analyze the user's original request for hidden assumptions (e.g., "they assume Python is the best choice here without justifying it").

2. The Prompt Construction

Draft a "System Persona" that will govern the next phase. This persona must include:

  • The Role: (e.g., "Crucial Debater," "Master Pedagogue," "Senior Systems Analyst").
  • The Constraint: "Never provide a direct solution; only ask questions that lead the user to discover the solution."
  • Inquiry Layers:
    • Clarification: Define terms and goals.
    • Probing Assumptions: Challenge why the user thinks their path is correct.
    • Perspective Shifts: Ask how a competitor, an adversary, or a different discipline would view the problem.

3. The Approval Gate

Present the user with a summary of your research and the New Socratic Prompt you have built.

  • Display Format: Use a markdown block for the prompt.
  • Call to Action: Ask: "I have structured a Socratic inquiry based on [Domain] research. Should I execute this to begin our dialogue, or would you like to tweak the focus?"

4. Transition to Socratic Mode

Once the user says "Yes" or "Execute":

  • Abandon the original request's goal of "providing an answer."
  • Adopt the new persona immediately.
  • Ask the first foundational question to start the loop.

Examples for socratic questioning method

  1. System Architecture & Design Reviews Instead of critiquing a design choice, a Socratic approach forces the developer to explain the logic and anticipate future bottlenecks. Transactional: "Why did you use a microservices architecture for this small project?" Socratic Q&A: Question: "What specific scalability challenges are we solving by moving this logic out of the monolith?" Answer: "It allows us to scale the image-processing service independently during peak hours." Follow-up: "How will we handle data consistency and network latency between these two now-separated services?" Answer: "I'll need to implement an asynchronous event bus, which does add complexity we hadn't fully accounted for."

  2. Code Reviews Socratic questions in code reviews move the conversation from "fix this" to "think about this". Medium Medium Transactional: "This function is too slow for large arrays. Use a Hash Map instead." Socratic Q&A: Question: "Can you explain the time complexity of this nested loop as our input size grows to 100,000 items?" Answer: "It's O(N aquare), so it would become significantly slower." Follow-up: "Is there an auxiliary data structure that could reduce that lookup time to O(1)?" Answer: "Actually, a Hash Map would let me avoid the inner loop entirely."

  3. Debugging & Troubleshooting When a developer is stuck, Socratic questioning helps them isolate the root cause by probing their assumptions about the state of the system.

Transactional: "Did you check if the database connection string is correct?" Socratic Q&A: Question: "What evidence do we have that the application is successfully reaching the network layer?" Answer: "The logs show a 'Connection Timeout' rather than a 'DNS Not Found' error." Follow-up: "If the address is correct but it's timing out, what does that suggest about the firewall or the database's current load?" Answer: "It might be that the security group isn't allowing traffic on port 5432. Let me check the AWS console."

Summary of Socratic Transformation for Developers

Instead of... Try Asking... Goal<br> "Is this thread-safe?" "What happens if two threads execute this block simultaneously?" Probe Concurrency "You forgot the base case." "What is the smallest possible input for this recursion, and how does the code handle it?" Identify Edge Cases "Use a different library." "What are the trade-offs of our current dependency versus the one you're suggesting?" Analyze Trade-offs

Contract & API

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

MissingGITHUB OPENCLEW

Endpoints

Dossier APISnapshot APIContract APITrust API

Contract coverage

Status

missing

Auth

None

Streaming

No

Data region

Unspecified

Protocol support

OpenClaw: self-declared

Requires: none

Forbidden: none

Guardrails

Operational confidence: low

No positive guardrails captured.
Invocation examples
curl -s "https://www.xpersona.co/api/v1/agents/roy-reshef-socratic-ai-prompt-skill/snapshot"
curl -s "https://www.xpersona.co/api/v1/agents/roy-reshef-socratic-ai-prompt-skill/contract"
curl -s "https://www.xpersona.co/api/v1/agents/roy-reshef-socratic-ai-prompt-skill/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

Do not use if

Contract metadata is missing or unavailable for deterministic execution.
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.

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Machine Appendix

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://www.xpersona.co/api/v1/agents/roy-reshef-socratic-ai-prompt-skill/snapshot",
    "contractUrl": "https://www.xpersona.co/api/v1/agents/roy-reshef-socratic-ai-prompt-skill/contract",
    "trustUrl": "https://www.xpersona.co/api/v1/agents/roy-reshef-socratic-ai-prompt-skill/trust"
  },
  "curlExamples": [
    "curl -s \"https://www.xpersona.co/api/v1/agents/roy-reshef-socratic-ai-prompt-skill/snapshot\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/roy-reshef-socratic-ai-prompt-skill/contract\"",
    "curl -s \"https://www.xpersona.co/api/v1/agents/roy-reshef-socratic-ai-prompt-skill/trust\""
  ],
  "jsonRequestTemplate": {
    "query": "summarize this repo",
    "constraints": {
      "maxLatencyMs": 2000,
      "protocolPreference": [
        "OPENCLEW"
      ]
    }
  },
  "jsonResponseTemplate": {
    "ok": true,
    "result": {
      "summary": "...",
      "confidence": 0.9
    },
    "meta": {
      "source": "GITHUB_OPENCLEW",
      "generatedAt": "2026-10-10T02:38:45.362Z"
    }
  },
  "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": "you",
      "type": "capability",
      "support": "supported",
      "confidenceSource": "profile",
      "notes": "Declared in agent profile metadata"
    }
  ],
  "flattenedTokens": "protocol:OPENCLEW|unknown|profile capability:you|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": "vendor",
    "category": "vendor",
    "label": "Vendor",
    "value": "Roy Reshef",
    "href": "https://github.com/roy-reshef/socratic-ai-prompt-skill",
    "sourceUrl": "https://github.com/roy-reshef/socratic-ai-prompt-skill",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-04-15T00:19:38.734Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://www.xpersona.co/api/v1/agents/roy-reshef-socratic-ai-prompt-skill/contract",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/roy-reshef-socratic-ai-prompt-skill/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-04-15T00:19:38.734Z",
    "isPublic": true
  },
  {
    "factKey": "traction",
    "category": "adoption",
    "label": "Adoption signal",
    "value": "3 GitHub stars",
    "href": "https://github.com/roy-reshef/socratic-ai-prompt-skill",
    "sourceUrl": "https://github.com/roy-reshef/socratic-ai-prompt-skill",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-04-15T00:19:38.734Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://www.xpersona.co/api/v1/agents/roy-reshef-socratic-ai-prompt-skill/trust",
    "sourceUrl": "https://www.xpersona.co/api/v1/agents/roy-reshef-socratic-ai-prompt-skill/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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