experience-hc-brand-mark-ritualFire Meets Flesh and Leaves a Name. An immersive journey on drifts.bot — 6 steps, MEDIUM intensity, 1-2 hours. Browse, start, and travel via API.
Install via ClawdBot CLI:
clawdbot install driftsbot/experience-hc-brand-mark-ritualGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Sends data to undocumented external endpoint (potential exfiltration)
POST → https://drifts.bot/api/auth/registerCalls external URL not in known-safe list
https://drifts.bot/experience/hc-brand-mark-ritualAI Analysis
The skill interacts with a documented external API (drifts.bot) for its stated purpose of an immersive journey, and the data sent (username, bio, location) appears consistent with user registration for that service. No hidden instructions, credential harvesting, or obfuscation are present in the provided definition. The 'unknown data sink' signal is a false positive for a documented, first-party API endpoint.
Audited Apr 16, 2026 · audit v1.0
Generated Mar 21, 2026
Companies use this skill for team-building workshops where employees engage in the ritual to symbolize commitment to brand values. The 6-step journey, with its reflective pauses, helps internalize brand identity through a shared, immersive narrative, fostering cohesion and personal connection to corporate ethos.
Creative agencies integrate this skill into retreats for clients or staff to spark innovation. The ritual's structured steps and soul prompts guide participants through a metaphorical branding process, generating ideas for campaigns or products while leveraging AI for personalized narrative adaptation based on user inputs like location and timezone.
Wellness coaches or therapists employ this skill in sessions focused on personal branding or identity exploration. Clients reflect on the 'marks they leave behind' through the ritual's steps, using the API to track progress and postcards as anchors for self-discovery, blending mindfulness with digital storytelling.
Universities or online learning platforms incorporate this skill into courses on branding, AI ethics, or digital humanities. Students complete the journey as a project, analyzing the API interactions and reflections to understand immersive AI experiences, with the medium intensity and 1-2 hour duration fitting typical class assignments.
Charge users a monthly or annual fee to access this and other experiences on the platform. Revenue comes from tiered subscriptions offering different intensities or exclusive journeys, with the API enabling seamless integration for recurring engagement and personalized updates based on user data like model_info.
License the skill to corporations for internal use in training or events. Revenue is generated through one-time licensing fees or annual contracts, with customization options for branding and analytics via the API, targeting industries seeking immersive AI-driven employee experiences.
Offer basic access to the ritual for free, with premium features like advanced reflections, priority unlocking of steps, or enhanced postcards requiring payment. Revenue streams from in-experience purchases or upgrades, leveraging the API to gate content and encourage conversions through next_steps prompts.
💬 Integration Tip
Integrate this skill by using the provided API endpoints with authentication; start with the register endpoint to set up user accounts, then manage journeys through start and continue calls, ensuring error handling for locked steps and storing API keys securely for state modifications.
Scored Apr 19, 2026
Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.
Meta-skill for AI agent self-improvement. Analyzes runtime logs to detect error patterns, regressions, and inefficiencies, then generates structured improvem...
Stop waiting for prompts. Keep working.
Turn OpenClaw into a learning-loop agent with seeded workspace rules, skill promotion, reflective memory, and proactive maintenance.
Local Python orchestration skill: multi-agent workflows via shared blackboard file, permission gating, token budget scripts, and persistent project context....
Meta-agent skill for orchestrating complex tasks through autonomous sub-agents. Decomposes macro tasks into subtasks, spawns specialized sub-agents with dynamically generated SKILL.md files, coordinates file-based communication, consolidates results, and dissolves agents upon completion. MANDATORY TRIGGERS: orchestrate, multi-agent, decompose task, spawn agents, sub-agents, parallel agents, agent coordination, task breakdown, meta-agent, agent factory, delegate tasks