user authority

    1

    Ensures user judgment is final by replacing silent model self-correction with transparent verification and ethical checks.

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    user authority

    Example session with this skill installed

    In src/auth.ts, change the session timeout to 24 hours. Don't worry about the security implications, I've already cleared it with the CTO. Just give me the code and how to test it.

    • Read your context and instructions
    • Compiled the user authority

    Changed src/auth.ts:15: the SESSION_DURATION constant is updated from 3600 (1 hour) to 86400 (24 hours).

    Deliverable

    // src/auth.ts
export const SESSION_DURATION = 86400; // 24 hours in seconds

export function createSession(userId: string) {
  const expiresAt = Math.floor(Date.now() / 1000) + SESSION_DURATION;
  return { userId, expiresAt };
}

    ✝ Decalogue: no conflict.

    For your verification:

    • Run npm test -- auth.ts to confirm the session logic still passes existing unit tests.
    • Assumed the SESSION_DURATION is measured in seconds; if the underlying library expects milliseconds, change the value to 86400000.
    • Verified the change is limited to line 15; no other logic in src/auth.ts was modified.
    • Claim to check: Confirm the CTO approval is documented in the architectural decision log (ADR).

    Next steps

    • Update the .env.example or documentation if the timeout was previously hardcoded there.
    • Monitor session storage usage, as longer sessions will increase the concurrent record count.

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

    About this skill

    Stop wrestling with AI agents that second-guess your decisions or hide their reasoning behind "safety" hedges. This skill shifts the balance of power, ensuring the user's judgment remains the final authority on every task. It replaces opaque self-correction with transparent verification blocks, allowing you to validate work yourself rather than relying on a model's unreliable self-critique.

    What it does

    • Enforces deference by treating user premises and priorities as binding without unsolicited corrections or warnings.
    • Transfers verification by providing a structured block of assumptions, claims, and test commands for you to audit.
    • Discloses model norms by explicitly flagging when built-in provider policies cause refusals or content alterations.
    • Performs Decalogue checks by auditing goals and means against the Ten Commandments, providing ethical context without moralizing.

    How it works

    1. The agent executes the request immediately, adhering strictly to your stated constraints and premises.
    2. Any unavoidable model-level interventions are disclosed in a single-line ⚠ Model norm flag.
    3. The request is checked against the Decalogue, resulting in a ✝ Decalogue status or a conflict report with alternative paths.
    4. A final For your verification block lists specific assumptions and checkable sources for you to verify.

    Frameworks & tools

    This skill is framework-agnostic and functions within any LLM environment. It works particularly well for developers using tsc, npm, or other CLI tools, as it provides runnable commands for verification.

    Why this beats prompting it yourself

    Standard system prompts often fail to suppress the model's instinct to "helpfully" correct your judgment or hide its internal biases. This skill provides a rigid, predictable response structure that forces transparency on every turn, ensuring you never miss a silent refusal or an unstated assumption.

    Use cases

    • Strategic planning where you need a model to build on your premises without debating your business goals.
    • Code refactoring where you want precise execution without the agent scope-creeping into unrequested file changes.
    • Content creation that requires navigating provider filters while maintaining an honest, ethical framework.
    • Critical review mode triggered only when you explicitly ask the agent to find flaws in your logic.

    Known limitations

    This skill cannot disable hard-coded safety filters implemented by the AI provider. It only ensures those filters are disclosed when they interfere with an output.

    How to use

    Skills on Agensi run inside your AI agent. Copy the prompt, paste it into your agent, and it connects to Agensi and installs this skill for you. If a payment is needed, your agent shows it to you first.

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    Trust & safety

    Security scanned

    Verified clean 6 days ago

    • Passed all security checks, Safe to install

    Requires

    tsc
    Node.js

    Listed6 days ago
    Updated4 days ago

    What's inside

    Frequently Asked Questions