OpenClaw Plugin Intelligence for Openclaw

OpenClaw Plugin Intelligence helps agents identify, select, securely execute, validate, and recover from external plugin workflows.

pmuhammadagus-byte
v1.0.0
Aug 23, 2026
0
150
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install plugin-intelligence

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install plugin-intelligence using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).

Prefer to download?

Get the raw skill files in a ZIP archive.

What is OpenClaw Plugin Intelligence?

OpenClaw Plugin Intelligence is a brain-core extension for OpenClaw that provides capability-first plugin reasoning. Instead of selecting tools simply because they are installed, the skill identifies the capability a task requires, discovers suitable plugins, evaluates compatibility and availability, checks connection and authorization status, and selects the safest effective option.

This skill also supports multi-plugin orchestration, dependency-aware execution, result validation, failure recovery, fallback planning, security controls, and anti-hallucination safeguards. These Openclaw Skills principles help agents use plugins as reliable external capabilities while keeping task reasoning, permissions, and final verification under control.

OpenClaw Plugin Intelligence Use Cases

  • Determine whether a task actually requires an external plugin or can be completed with native reasoning and tools.
  • Discover plugins by capability for email, calendars, databases, GitHub, Slack, Telegram, web search, files, cloud services, analytics, payments, and automation.
  • Compare multiple plugins with similar capabilities using compatibility, authorization, reliability, security, and simplicity criteria.
  • Check whether a plugin is installed, connected, authorized, and available before performing authenticated operations.
  • Build workflows that move through discovery, processing, action, storage, and verification stages.
  • Coordinate dependent plugins such as retrieving data, transforming it, saving the result, and validating the final output.
  • Recover from authentication errors, permission failures, rate limits, timeouts, network failures, invalid inputs, and unavailable services.
  • Select safe alternatives when a primary plugin fails, including another plugin, a native tool, or a manual procedure.
  • Prevent plugin hallucinations by reporting unknown names, capabilities, parameters, permissions, endpoints, and connection states as unverified.
  • Apply minimum-data, minimum-permission, and minimum-access controls when transferring information between plugins.
  • Review plugin limitations and successful fallback paths for future strategy improvements when real memory storage is available.

How OpenClaw Plugin Intelligence Works

  1. Understand the task through the Brain Core and identify the external capability, if any, that is required.
  2. Decide whether native reasoning or existing tools are sufficient; avoid unnecessary plugin calls.
  3. Discover available plugins by capability rather than assuming a plugin name or inventing an unavailable integration.
  4. Evaluate candidates for exact capability, compatibility, availability, connection state, authorization, reliability, security, limitations, and simplicity.
  5. Check installation, connectivity, authorization, and required permissions such as read, write, delete, send, modify, or admin access.
  6. Select the best plugin or define a dependency graph for a multi-plugin workflow, such as Plugin A → Plugin B → Plugin C.
  7. Execute only the required operation with the minimum relevant data and the narrowest appropriate permissions.
  8. Validate returned data for format, completeness, correctness, privacy, encoding, required fields, and alignment with the user request.
  9. If execution fails, classify the error, determine whether retrying is safe, and apply bounded retries only when appropriate.
  10. Use a suitable fallback, such as an alternative plugin, native tool, or safe manual process, without silently changing the task objective.
  11. Report the actual connection, authorization, execution, validation, fallback, and next-action status.
  12. Run the final self-check covering capability identification, discovery, permissions, validation, recovery, security, non-hallucinated status, and task completion.

OpenClaw Plugin Intelligence Setup

Installation and activation

This skill declares no required binaries and does not specify a package installation command. It is designed to run on Linux, macOS, and Windows through the OpenClaw skill environment. Install or register the skill using the standard OpenClaw Skills mechanism for your deployment, then enable it as part of the Brain Core workflow.

# Verify the skill files are present in your OpenClaw skills directory
ls -la /path/to/openclaw/skills/openclaw-plugin-intelligence

Configuration checklist

  • Confirm the skill metadata is available to OpenClaw.
  • Make the relevant external plugins discoverable through the OpenClaw plugin registry or supported discovery mechanism.
  • Configure each plugin's connection and authorization separately; this skill does not provide credentials or fabricate connection states.
  • Grant only the permissions required for the task.
  • Define a fallback path for important workflows.
  • Test plugin compatibility and dependency relationships before production use.
  • Preserve a rollback path when updating plugin versions.

For Termux or Android environments, verify package availability, storage access, network restrictions, background-process limits, permission behavior, and ARM64 compatibility before assuming a desktop plugin will work.

OpenClaw Plugin Intelligence Data Schema & Taxonomy

Skill metadata

Field Value
Name openclaw-plugin-intelligence
Version 1.1.0
Runtime binaries None required
Supported operating systems Linux, macOS, Windows
Primary role Brain Core plugin discovery, selection, orchestration, validation, and recovery
Repository GitHub: pmuhammadagus-byte/openclaw-settings

Runtime decision data

The skill organizes plugin decisions around these fields:

  • Task: concise description of the user goal.
  • Capability needed: the external function required, such as search, email, storage, or analytics.
  • Plugin selected: verified plugin name or native tool.
  • Availability: installed and discoverable status.
  • Connection: connected or failed.
  • Authorization: authorized or failed.
  • Permissions: read, write, delete, send, modify, or admin scope.
  • Dependencies: ordered or parallel relationships between plugins.
  • Data flow: source, data, transformation, and destination.
  • Execution: success, failure, timeout, or error.
  • Result validation: pass or fail based on completeness, validity, and task alignment.
  • Fallback used: yes or no, with the selected alternative.
  • Next action: complete, retry, fallback, or stop.

Error taxonomy

Supported classifications include not installed, not connected, authentication error, permission error, rate limit, network error, timeout, invalid input, plugin error, service unavailable, environment error, output error, and unknown error.

Files and persistence

The skill is instructional and does not define generated output files, a database schema, or automatic memory storage. Learning from plugin outcomes should only be persisted when a real memory or knowledge-storage mechanism is available; the agent must not claim that information was saved otherwise.

OpenClaw Plugin Intelligence Advanced Features

  • Capability-first discovery prevents unnecessary plugin calls and reduces tool-selection bias.
  • Multi-plugin orchestration supports explicit dependency graphs and parallel execution for genuinely independent operations.
  • Connection and permission gates help prevent unauthorized, destructive, or incorrectly targeted actions.
  • Result validation checks whether plugin output is complete, valid, correctly formatted, private, and relevant to the original request.
  • Bounded retry logic distinguishes safe retries from authentication, permission, and invalid-input failures that require changes first.
  • Fallback chaining can move from a primary plugin to an alternative plugin, native tool, or safe manual procedure.
  • Anti-plugin-hallucination rules require unknown status until plugin names, capabilities, parameters, permissions, endpoints, and connection states are verified.
  • Security controls enforce minimum data, minimum permission, and minimum access across plugin boundaries.
  • Brain Core integration keeps reasoning and decisions with the agent while plugins provide execution capabilities.
  • Dependency conflict awareness supports compatibility audits, rollback-safe updates, and version-change testing.
  • Termux and Android mode accounts for platform-specific permissions, storage, networking, background execution, and ARM64 constraints.
  • Structured execution reporting exposes capability, plugin, connection, authorization, execution, validation, fallback, and next-action status.
  • Self-check and quality-gate procedures assess architecture, reliability, clarity, security, compatibility, maintainability, extensibility, and verification readiness.

SKILL.md


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