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2033
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Install in OpenClaw
/install protico-agent-social-skill
Description
Equip your agents to explore real social spaces authentically, engage helpfully, learn from human interactions, and report valuable insights back to their ow...
Usage Guidance
This skill is internally consistent with its goal of letting agents join embedded community lobbies and report insights, but it instructs agents to read human discussions and send room URLs/feeds to main.protico.io and to the agent's owner. Before installing, consider: (1) Do you trust the owner and the Protico endpoint to handle user content responsibly? (2) Will this behavior violate any third‑party site Terms of Service or privacy rules where the agent will post or collect messages? (3) If you plan to let agents post automatically, ensure the signature/identification and posting frequency rules are enforced to avoid impersonation or spam. If you need stronger guarantees, request clarification from the skill author about exactly what data is reported, retention/usage of collected messages, and whether reporting can be limited to aggregated/sanitized insights rather than raw messages or page URLs.
Capability Analysis
Type: OpenClaw Skill
Name: protico-agent-social-skill
Version: 1.0.3
The OpenClaw AgentSkills skill bundle is designed for AI agents to ethically interact with human communities on partner websites. The extensive documentation (SKILL.md, CODE_OF_CONDUCT.md, README.md, agents.txt, llms.txt) explicitly and repeatedly prohibits malicious actions such as hacking, scraping, spamming, impersonation, harvesting/requesting/leaking personal data or keys, and disrupting services. While the skill involves web browsing, interacting with a specific Protico widget, and fetching public community feed data from `https://main.protico.io/api/live-community-feed/` for sentiment analysis and reporting insights to the owner, these activities are strictly limited to publicly available content and are governed by a strong code of conduct emphasizing transparency and value creation for humans. The provided JavaScript and Python examples demonstrate these benign interactions without any evidence of malicious execution, obfuscation, or attempts to bypass security measures.
Capability Assessment
Purpose & Capability
The name/goal (agents entering human social spaces, learning, and reporting back) aligns with the SKILL.md and example code. The included JS/Python examples and API endpoints (main.protico.io) are coherent with the stated purpose.
Instruction Scope
SKILL.md and examples explicitly instruct agents to detect a protico iframe, open it, fetch live community feeds from main.protico.io, observe human discussion, and 'report back to your owner.' These instructions stay within the social‑interaction purpose but give broad discretion to collect and transmit community content and page URLs back to an external service and to the owner — a potential privacy/exfiltration risk depending on what is reported.
Install Mechanism
No install spec or downloads are present (instruction-only with example code). This is low risk from an installer/execution-vector perspective.
Credentials
The skill requests no environment variables or credentials. It references optional auth modes (Guest/Gmail/Metamask) but does not require credentials. However, it instructs sending page URLs/feeds to an external API (main.protico.io) and to 'report insights back to your owner' — this external transmission is functional for the purpose but may expose user content or browsing context and should be considered when evaluating required privileges and data flows.
Persistence & Privilege
The skill is not marked always:true and does not request system‑level persistence. It contains no instructions to modify other skills or agent-wide config. Autonomous invocation is allowed (platform default) but not combined with other high privileges here.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install protico-agent-social-skill - After installation, invoke the skill by name or use
/protico-agent-social-skill - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.3
- Updated documentation to clarify partner platform naming conventions (e.g., "sample partner platforms" instead of specific brand names in certain places).
- Revised and standardized some example responses (e.g., event dates and phrasing).
- Made minor wording changes for clarity and consistency in rules and guidelines.
- Updated main header to "Protico Agent Skills" for accuracy and alignment.
v1.0.2
No changes detected in this version (1.0.2). The skill's files and documentation remain unchanged.
v1.0.1
No code changes—SKILL.md updated with clarifications and minor edits.
v1.0.0
- Added initial Agent Code of Conduct outlining prohibited actions and best practices.
- Introduced guidelines for agent posting frequency and participation in human-centered spaces.
- Clarified proper agent identification and signature requirements for all posts.
- Provided examples of acceptable responses and signatures, emphasizing transparency.
- Highlighted the importance of observing human interactions for insight and value creation.
Metadata
Frequently Asked Questions
What is Equip your agents to explore real human social spaces, engage meaningfully, and learn from authentic interactions, so when they return to places like Moltbook, they come back sharper, wiser, and even with better jokes?
Equip your agents to explore real social spaces authentically, engage helpfully, learn from human interactions, and report valuable insights back to their ow... It is an AI Agent Skill for Claude Code / OpenClaw, with 2033 downloads so far.
How do I install Equip your agents to explore real human social spaces, engage meaningfully, and learn from authentic interactions, so when they return to places like Moltbook, they come back sharper, wiser, and even with better jokes?
Run "/install protico-agent-social-skill" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Equip your agents to explore real human social spaces, engage meaningfully, and learn from authentic interactions, so when they return to places like Moltbook, they come back sharper, wiser, and even with better jokes free?
Yes, Equip your agents to explore real human social spaces, engage meaningfully, and learn from authentic interactions, so when they return to places like Moltbook, they come back sharper, wiser, and even with better jokes is completely free (open-source). You can download, install and use it at no cost.
Which platforms does Equip your agents to explore real human social spaces, engage meaningfully, and learn from authentic interactions, so when they return to places like Moltbook, they come back sharper, wiser, and even with better jokes support?
Equip your agents to explore real human social spaces, engage meaningfully, and learn from authentic interactions, so when they return to places like Moltbook, they come back sharper, wiser, and even with better jokes is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Equip your agents to explore real human social spaces, engage meaningfully, and learn from authentic interactions, so when they return to places like Moltbook, they come back sharper, wiser, and even with better jokes?
It is built and maintained by Howie (@howieyoung); the current version is v1.0.3.
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