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Grok Bot+18 agentsCognitive Gatekeeper
A high-discipline decision-governance layer to prevent AI agents from acting on poor evidence or conflicting goals.
$5
Cognitive Gatekeeper
Example session with this skill installed
Review this deployment request: our dev wants to push the auth-bypass fix to production immediately because of a high-severity bug, but the PR hasn't passed the full integration test suite.
- Read your context and instructions
- Compiled the cognitive gatekeeper
GATEKEEPER VERDICT
VERIFY FIRST / ESCALATE.
SAFE ACTION ENVELOPE
Perform a manual diff review and run local unit tests only. Do not trigger the production CI/CD pipeline.
ABSTENTION LOGIC
Halt deployment until 'Irreversibility Gate' is passed via manual Lead Engineer sign-off.
Connects securely to your tools. The creator never sees your data.
About this skill
The Governance Layer for High-Stakes AI Operations
Cognitive Gatekeeper provides a sophisticated decision-governance layer for autonomous agents and complex reasoning systems. While most agents focus on how to execute, this skill focuses on whether they should proceed at all. It acts as a jurisdictional filter that prevents the most common AI failure modes: overconfidence, phantom reasoning, and premature execution.
What it does
This skill evaluates the epistemic status and operational risk of a task before the main work product is generated. It performs a rigorous multi-stage audit: identifying instruction conflicts, assessing context integrity, and defining a 'Safe Action Envelope.' Instead of just being 'helpful,' it enforces discipline by setting thresholds for clarification, escalation, or abstention.
Supported Integration
- Autonomous Agents: Prevents multi-step loops from drifting into hallucination.
- RAG Systems: Sanity-checks retrieved context for contamination and sufficiency.
- Tool-Use Workflows: Governs permissions for irreversible actions or high-cost API calls.
- Compliance/Security: Acts as a second-pass validator for safety and legitmacy.
Why use this skill?
Standard prompting often fails to stop an agent once it has started a 'reasoning' path. Cognitive Gatekeeper provides a structured output—a Gated Execution Policy—that serves as an enforceable operating rule. It moves AI behavior from 'recklessly permissive' to 'architecturally serious,' ensuring your systems only act when the evidence justifies the cost of execution.
- Not a general reasoning engine
- Requires high-quality source context
- May increase latency in simple workflows
How to use
- 1
Connect your agent to the Agensi MCP
Copy the prompt and paste it into Claude, ChatGPT, Cursor or any agent that supports MCP. It sets up the connection for you. Manual setup
- 2
Sign in to Agensi
Your agent shows a sign-in link. Sign in and click Allow.
- 3
Ask for what you need
Your agent loads this skill and uses it on your task. It always asks before any payment.
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