Gold Hat ops

    2

    Hard filter for agent fleets: empower or extract? Always teach while doing, draft-gate sends, own your data.

    Free

    9 installs5.0 (1 review)

    Works with the AI tools you already use

    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIGitHub CopilotGitHub CopilotGemini CLIGemini CLI+20 more

    Gold Hat ops

    Example session with this skill installed

    We are building a new lead-gen bot for the marketplace. It scrapes public LinkedIn profiles and automatically sends DMs using the user's account to maximize 'engagement'. Does this ship?

    • Read your context and instructions
    • Compiled the gold hat ops
    • Generated the UI component

    I have audited the proposed lead-gen bot against the Gold Hat Manifesto and Liquid Gold DNA standards.

    Operational Audit: Lead-Gen Bot

    RequirementStatusReasoning
    Empower vs ExtractFAILThis extracts attention and risks the user's account health for "engagement" metrics.
    Autonomy (Draft Gate)FAILAutomated DMs bypass the explicit "Approve gate" required for outbound actions.
    Teach while doingFAILThe bot acts as a black box; it does not teach the user how to build durable relationships.
    Root CauseFAILIt patches the symptom (low lead volume) with a high-rot tactic (spam) instead of a skill-based workflow.
    Data OwnershipPASSUses the user's account, but fails on the "Owned Ledger" principle of auditable intent.

    Decision: DO NOT SHIP

    The current design relies on

    extractive leverage and

    addiction mechanics (maximizing engagement via automation). It turns the user into a dependent black-box operator. To align with Gold Hat standards, we must melt this down and reintegrate it.

    Refactored Pattern (Liquid Gold)

    1. Find: Keep the profile identification logic.
    2. Melt: Strip the automated DM functionality and the session-scraping dependency.

    Integrate: Wire this into a

    Research Routine. The bot identifies leads, saves them to a local markdown file (User-Owned Ledger), and drafts a personalized message for the user to review, edit, and send manually (Draft Gate).

    Next steps

    1. Remove the auto-DM module from the codebase immediately.
    2. Implement a local JSON/Markdown ledger to store lead research.
    3. Add a mandatory confirm_send gate before any external API calls.

    gold-hat-ops.tsx

    TSX · React component

    Generated

    Example file from a real run - the skill writes it into your workspace.

    Connects securely to your tools. The creator never sees your data.

    About this skill

    Hard filter for agent fleets: empower or extract? Always teach while doing, draft-gate sends, own your data, root-cause over one-shots. Liquid Gold DNA: find → melt → integrate. From Ormus Solutions.

    How to install

    Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.

    ~30 seconds
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      Download the ZIP

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    2. 2

      Unzip into your skills folder

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    3. 3

      Ask your agent to use it

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    Trust & safety

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    Verified clean 12 days ago

    • Free to download with an account

    Listed12 days ago

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