Xpersona

Crawler Summary

minimax-prompt answer-first brief

MiniMax M2.5 for one-shot LLM prompts, summaries, and generation. Uses the MiniMax Anthropic-compatible API via the minimax-prompt CLI wrapper. Fast (~2s), included in MiniMax Coding Plan subscription. --- name: minimax-prompt description: MiniMax M2.5 for one-shot LLM prompts, summaries, and generation. Uses the MiniMax Anthropic-compatible API via the minimax-prompt CLI wrapper. Fast (~2s), included in MiniMax Coding Plan subscription. homepage: https://www.minimaxi.com/ metadata: { "openclaw": { "emoji": "🤖", "requires": { "bins": ["minimax-prompt"], "env": ["MINIMAX_CODING_PLAN_API_KEY"] }, }, } --- MiniMax Pr Capability contract not published. No trust telemetry is available yet. Last updated 2/25/2026.

Freshness

Last checked 2/25/2026

Best For

minimax-prompt 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

minimax-prompt

MiniMax M2.5 for one-shot LLM prompts, summaries, and generation. Uses the MiniMax Anthropic-compatible API via the minimax-prompt CLI wrapper. Fast (~2s), included in MiniMax Coding Plan subscription. --- name: minimax-prompt description: MiniMax M2.5 for one-shot LLM prompts, summaries, and generation. Uses the MiniMax Anthropic-compatible API via the minimax-prompt CLI wrapper. Fast (~2s), included in MiniMax Coding Plan subscription. homepage: https://www.minimaxi.com/ metadata: { "openclaw": { "emoji": "🤖", "requires": { "bins": ["minimax-prompt"], "env": ["MINIMAX_CODING_PLAN_API_KEY"] }, }, } --- MiniMax Pr

OpenClawself-declared

Public facts

3

Change events

0

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

Minimaxi

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Unpublished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 SourceHomepage

Setup snapshot

git clone https://github.com/kesslerio/minimax-prompt-openclaw-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

Minimaxi

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

Release & Crawl Timeline

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

Self-declaredagent-index

Artifacts Archive

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

Self-declaredGITHUB OPENCLEW

Extracted files

0

Examples

4

Snippets

0

Languages

typescript

Parameters

Executable Examples

bash

# Simple prompt
minimax-prompt "Explain quantum computing in one paragraph"

# With -p flag (gemini-compatible)
minimax-prompt -p "Summarize this text"

# Pipe content + prompt
echo "Raw data here" | minimax-prompt -p "Summarize the above"

# Pipe content only (content becomes the prompt)
echo "What is 2+2?" | minimax-prompt

bash

curl -sS https://api.minimax.io/anthropic/v1/messages \
  -H "x-api-key: $MINIMAX_CODING_PLAN_API_KEY" \
  -H "content-type: application/json" \
  -H "anthropic-version: 2023-06-01" \
  -d '{

bash

curl -sS https://api.minimax.io/anthropic/v1/messages \
  -H "x-api-key: $MINIMAX_CODING_PLAN_API_KEY" \
  -H "content-type: application/json" \
  -H "anthropic-version: 2023-06-01" \
  -d '{
    "model": "MiniMax-M2.5",
    "max_tokens": 8192,
    "messages": [{"role": "user", "content": "Your prompt here"}]
  }'

json

{
  "content": [{"type": "text", "text": "Response here"}],
  "model": "MiniMax-M2.5",
  "stop_reason": "end_turn"
}

Docs & README

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

Self-declaredGITHUB OPENCLEW

Docs source

GITHUB OPENCLEW

Editorial quality

ready

MiniMax M2.5 for one-shot LLM prompts, summaries, and generation. Uses the MiniMax Anthropic-compatible API via the minimax-prompt CLI wrapper. Fast (~2s), included in MiniMax Coding Plan subscription. --- name: minimax-prompt description: MiniMax M2.5 for one-shot LLM prompts, summaries, and generation. Uses the MiniMax Anthropic-compatible API via the minimax-prompt CLI wrapper. Fast (~2s), included in MiniMax Coding Plan subscription. homepage: https://www.minimaxi.com/ metadata: { "openclaw": { "emoji": "🤖", "requires": { "bins": ["minimax-prompt"], "env": ["MINIMAX_CODING_PLAN_API_KEY"] }, }, } --- MiniMax Pr

Full README

name: minimax-prompt description: MiniMax M2.5 for one-shot LLM prompts, summaries, and generation. Uses the MiniMax Anthropic-compatible API via the minimax-prompt CLI wrapper. Fast (~2s), included in MiniMax Coding Plan subscription. homepage: https://www.minimaxi.com/ metadata: { "openclaw": { "emoji": "🤖", "requires": { "bins": ["minimax-prompt"], "env": ["MINIMAX_CODING_PLAN_API_KEY"] }, }, }

MiniMax Prompt

Use MiniMax M2.5 for one-shot LLM tasks. Two execution methods available:

CLI Usage (minimax-prompt)

Shell wrapper at ~/.local/bin/minimax-prompt. Drop-in replacement for gemini -p.

# Simple prompt
minimax-prompt "Explain quantum computing in one paragraph"

# With -p flag (gemini-compatible)
minimax-prompt -p "Summarize this text"

# Pipe content + prompt
echo "Raw data here" | minimax-prompt -p "Summarize the above"

# Pipe content only (content becomes the prompt)
echo "What is 2+2?" | minimax-prompt

Timeout: 180s default. Output: plain text to stdout. Errors go to stderr.

Direct API Usage (from scripts)

For Python/shell scripts that can't depend on the CLI (e.g., Docker containers):

curl -sS https://api.minimax.io/anthropic/v1/messages \
  -H "x-api-key: $MINIMAX_CODING_PLAN_API_KEY" \
  -H "content-type: application/json" \
  -H "anthropic-version: 2023-06-01" \
  -d '{
    "model": "MiniMax-M2.5",
    "max_tokens": 8192,
    "messages": [{"role": "user", "content": "Your prompt here"}]
  }'

Response format (Anthropic Messages API):

{
  "content": [{"type": "text", "text": "Response here"}],
  "model": "MiniMax-M2.5",
  "stop_reason": "end_turn"
}

API Endpoints

| Endpoint | Format | Speed | |----------|--------|-------| | https://api.minimax.io/anthropic/v1/messages | Anthropic Messages | ~2s (preferred) | | https://api.minimax.io/v1/chat/completions | OpenAI Completions | ~6s |

The Anthropic endpoint is 3x faster and separates thinking tags natively.

Model

  • MiniMax-M2.5 — Only model available on Coding Plan
  • MiniMax-M2.5-lightning is NOT available on Coding Plan
  • 204K context window, 131K max output tokens

Setup

Requires MINIMAX_CODING_PLAN_API_KEY environment variable. Set via:

  • OpenClaw: ~/.config/systemd/user/secrets.conf (referenced as ${MINIMAX_CODING_PLAN_API_KEY} in openclaw.json)
  • Shell: export MINIMAX_CODING_PLAN_API_KEY="your-key"
  • Docker: -e MINIMAX_CODING_PLAN_API_KEY

Notes

  • Coding Plan is a subscription — API calls are included, no per-token billing
  • Replaces the retired gemini skill (Gemini CLI banned, Feb 2026)
  • For structured agent turns, prefer openclaw agent --local instead
  • Stateless — no state files or caching needed

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/kesslerio-minimax-prompt-openclaw-skill/snapshot"
curl -s "https://xpersona.co/api/v1/agents/kesslerio-minimax-prompt-openclaw-skill/contract"
curl -s "https://xpersona.co/api/v1/agents/kesslerio-minimax-prompt-openclaw-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 6d 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/kesslerio-minimax-prompt-openclaw-skill/snapshot",
    "contractUrl": "https://xpersona.co/api/v1/agents/kesslerio-minimax-prompt-openclaw-skill/contract",
    "trustUrl": "https://xpersona.co/api/v1/agents/kesslerio-minimax-prompt-openclaw-skill/trust"
  },
  "curlExamples": [
    "curl -s \"https://xpersona.co/api/v1/agents/kesslerio-minimax-prompt-openclaw-skill/snapshot\"",
    "curl -s \"https://xpersona.co/api/v1/agents/kesslerio-minimax-prompt-openclaw-skill/contract\"",
    "curl -s \"https://xpersona.co/api/v1/agents/kesslerio-minimax-prompt-openclaw-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": "2026-04-17T05:11:08.029Z"
    }
  },
  "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": "Minimaxi",
    "href": "https://www.minimaxi.com/",
    "sourceUrl": "https://www.minimaxi.com/",
    "sourceType": "profile",
    "confidence": "medium",
    "observedAt": "2026-02-25T02:24:04.889Z",
    "isPublic": true
  },
  {
    "factKey": "protocols",
    "category": "compatibility",
    "label": "Protocol compatibility",
    "value": "OpenClaw",
    "href": "https://xpersona.co/api/v1/agents/kesslerio-minimax-prompt-openclaw-skill/contract",
    "sourceUrl": "https://xpersona.co/api/v1/agents/kesslerio-minimax-prompt-openclaw-skill/contract",
    "sourceType": "contract",
    "confidence": "medium",
    "observedAt": "2026-02-25T02:24:04.889Z",
    "isPublic": true
  },
  {
    "factKey": "handshake_status",
    "category": "security",
    "label": "Handshake status",
    "value": "UNKNOWN",
    "href": "https://xpersona.co/api/v1/agents/kesslerio-minimax-prompt-openclaw-skill/trust",
    "sourceUrl": "https://xpersona.co/api/v1/agents/kesslerio-minimax-prompt-openclaw-skill/trust",
    "sourceType": "trust",
    "confidence": "medium",
    "observedAt": null,
    "isPublic": true
  }
]

Change Events JSON

[]

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