Xpersona

Crawler Summary

cerebras answer-first brief

Fast LLM inference via Cerebras Cloud. Use as a "junior coder" for well-defined tasks like boilerplate generation, refactoring, test writing, documentation, and format conversions. Triggers when a task is clearly specified and needs fast execution rather than deep reasoning. GLM-4.7 at 1000 tok/s. --- name: cerebras description: Fast LLM inference via Cerebras Cloud. Use as a "junior coder" for well-defined tasks like boilerplate generation, refactoring, test writing, documentation, and format conversions. Triggers when a task is clearly specified and needs fast execution rather than deep reasoning. GLM-4.7 at 1000 tok/s. --- Cerebras Skill Fast inference workhorse for well-defined tasks. When to Use ✅ **Good Capability contract not published. No trust telemetry is available yet. Last updated 2/25/2026.

Freshness

Last checked 2/25/2026

Best For

cerebras 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

CardFactsSnapshotContractTrust
Claim this agent
Agent DossierGitHubSafety: 89/100

cerebras

Fast LLM inference via Cerebras Cloud. Use as a "junior coder" for well-defined tasks like boilerplate generation, refactoring, test writing, documentation, and format conversions. Triggers when a task is clearly specified and needs fast execution rather than deep reasoning. GLM-4.7 at 1000 tok/s. --- name: cerebras description: Fast LLM inference via Cerebras Cloud. Use as a "junior coder" for well-defined tasks like boilerplate generation, refactoring, test writing, documentation, and format conversions. Triggers when a task is clearly specified and needs fast execution rather than deep reasoning. GLM-4.7 at 1000 tok/s. --- Cerebras Skill Fast inference workhorse for well-defined tasks. When to Use ✅ **Good

OpenClawself-declared

Public facts

4

Change events

1

Artifacts

0

Freshness

Feb 25, 2026

Verifiededitorial-contentNo verified compatibility signals

Capability contract not published. No trust telemetry is available yet. Last updated 2/25/2026.

Trust evidence available

Trust score

Unknown

Compatibility

OpenClaw

Freshness

Feb 25, 2026

Vendor

Machine Machine

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Unpublished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. Last updated 2/25/2026.

View Source

Setup snapshot

git clone https://github.com/machine-machine/openclaw-cerebras-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

Machine Machine

profilemedium
Observed Feb 25, 2026Source linkProvenance
Compatibility (1)

Protocol compatibility

OpenClaw

contractmedium
Observed Feb 25, 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

5

Snippets

0

Languages

typescript

Parameters

Executable Examples

bash

# Simple completion
python3 scripts/cerebras_client.py complete "Write a Python function to reverse a string"

# Code task with context
python3 scripts/cerebras_client.py code "Add error handling" --context "$(cat myfile.py)"

# Chat mode
python3 scripts/cerebras_client.py chat "Explain this code" --context "$(cat myfile.py)"

python

from scripts.cerebras_client import CerebrasClient

client = CerebrasClient()

# Simple completion
result = await client.complete("Write pytest tests for a calculator class")

# With system prompt
result = await client.chat(
    messages=[{"role": "user", "content": "Convert this to TypeScript"}],
    system="You are a code translator. Output only code, no explanations."
)

# Streaming
async for chunk in client.stream("Write a long function..."):
    print(chunk, end="")

bash

export CEREBRAS_API_KEY="your-api-key"

text

CEREBRAS_API_KEY=your-api-key
CEREBRAS_MODEL=glm-4.7

python

# Senior (Claude) decides what to do
plan = await claude.think("How should we refactor this module?")

# Junior (Cerebras) executes
for task in plan.tasks:
    result = await cerebras.complete(task.prompt)
    await save_file(task.path, result)

Docs & README

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

Self-declaredGITHUB OPENCLEW

Docs source

GITHUB OPENCLEW

Editorial quality

ready

Fast LLM inference via Cerebras Cloud. Use as a "junior coder" for well-defined tasks like boilerplate generation, refactoring, test writing, documentation, and format conversions. Triggers when a task is clearly specified and needs fast execution rather than deep reasoning. GLM-4.7 at 1000 tok/s. --- name: cerebras description: Fast LLM inference via Cerebras Cloud. Use as a "junior coder" for well-defined tasks like boilerplate generation, refactoring, test writing, documentation, and format conversions. Triggers when a task is clearly specified and needs fast execution rather than deep reasoning. GLM-4.7 at 1000 tok/s. --- Cerebras Skill Fast inference workhorse for well-defined tasks. When to Use ✅ **Good

Full README

name: cerebras description: Fast LLM inference via Cerebras Cloud. Use as a "junior coder" for well-defined tasks like boilerplate generation, refactoring, test writing, documentation, and format conversions. Triggers when a task is clearly specified and needs fast execution rather than deep reasoning. GLM-4.7 at 1000 tok/s.

Cerebras Skill

Fast inference workhorse for well-defined tasks.

When to Use

✅ Good fit:

  • Boilerplate code generation
  • Simple refactoring
  • Test case writing
  • Documentation generation
  • Format conversions (JSON↔YAML, etc.)
  • Code translation between languages
  • Regex/pattern generation
  • Simple CRUD operations

❌ Not ideal for:

  • Complex architectural decisions
  • Ambiguous requirements
  • Multi-step reasoning chains
  • Security-sensitive code review

Quick Start

# Simple completion
python3 scripts/cerebras_client.py complete "Write a Python function to reverse a string"

# Code task with context
python3 scripts/cerebras_client.py code "Add error handling" --context "$(cat myfile.py)"

# Chat mode
python3 scripts/cerebras_client.py chat "Explain this code" --context "$(cat myfile.py)"

Python API

from scripts.cerebras_client import CerebrasClient

client = CerebrasClient()

# Simple completion
result = await client.complete("Write pytest tests for a calculator class")

# With system prompt
result = await client.chat(
    messages=[{"role": "user", "content": "Convert this to TypeScript"}],
    system="You are a code translator. Output only code, no explanations."
)

# Streaming
async for chunk in client.stream("Write a long function..."):
    print(chunk, end="")

Models

| Model | Speed | Best For | |-------|-------|----------| | glm-4.7 | 1000 tok/s | Coding tasks, agents | | llama-3.3-70b | 2000 tok/s | General tasks | | qwen-3-32b | 2500 tok/s | Fast general |

Default: glm-4.7 (best coding performance)

Configuration

export CEREBRAS_API_KEY="your-api-key"

Or store in ~/.config/cerebras/config:

CEREBRAS_API_KEY=your-api-key
CEREBRAS_MODEL=glm-4.7

Integration with m2

Use Cerebras as junior coder in your workflow:

# Senior (Claude) decides what to do
plan = await claude.think("How should we refactor this module?")

# Junior (Cerebras) executes
for task in plan.tasks:
    result = await cerebras.complete(task.prompt)
    await save_file(task.path, result)

References

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://xpersona.co/api/v1/agents/machine-machine-openclaw-cerebras-skill/snapshot"
curl -s "https://xpersona.co/api/v1/agents/machine-machine-openclaw-cerebras-skill/contract"
curl -s "https://xpersona.co/api/v1/agents/machine-machine-openclaw-cerebras-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.

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": "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/machine-machine-openclaw-cerebras-skill/snapshot",
    "contractUrl": "https://xpersona.co/api/v1/agents/machine-machine-openclaw-cerebras-skill/contract",
    "trustUrl": "https://xpersona.co/api/v1/agents/machine-machine-openclaw-cerebras-skill/trust"
  },
  "curlExamples": [
    "curl -s \"https://xpersona.co/api/v1/agents/machine-machine-openclaw-cerebras-skill/snapshot\"",
    "curl -s \"https://xpersona.co/api/v1/agents/machine-machine-openclaw-cerebras-skill/contract\"",
    "curl -s \"https://xpersona.co/api/v1/agents/machine-machine-openclaw-cerebras-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": "2026-04-16T23:34:45.794Z"
    }
  },
  "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": "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": "Machine Machine",
    "href": "https://github.com/machine-machine/openclaw-cerebras-skill",
    "sourceUrl": "https://github.com/machine-machine/openclaw-cerebras-skill",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-02-25T02:27:12.705Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://xpersona.co/api/v1/agents/machine-machine-openclaw-cerebras-skill/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/machine-machine-openclaw-cerebras-skill/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-02-25T02:27:12.705Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://xpersona.co/api/v1/agents/machine-machine-openclaw-cerebras-skill/trust",
    "sourceUrl": "https://xpersona.co/api/v1/agents/machine-machine-openclaw-cerebras-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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Ads related to cerebras and adjacent AI workflows.