Gate high-impact agent actions behind human approval and audit logs.
npx skills add https://github.com/thejefflarson/soundcheck --skill excessive-agency
Please help me install this Agent Skill. Skill: excessive-agency Source: https://github.com/thejefflarson/soundcheck/tree/main/.claude/skills/excessive-agency Command: npx skills add https://github.com/thejefflarson/soundcheck --skill excessive-agency
Prevents autonomous agents from taking irreversible or high-impact actions without human oversight, reducing risk when deploying agentic workflows that interact with files, emails, databases, and external services.
Configure an agent workflow to require human approval before executing high-impact actions and log every action before dispatch.
High-intent search queries and answers about installing and using this skill.
You can prevent autonomous agents from modifying production databases without oversight by implementing action-impact classification and gating high-impact actions. This requires explicit human approval before dispatching irreversible database modifications.
Excessive agency in LLM agent pipelines occurs when autonomous agents perform irreversible actions without human oversight. You prevent it by requiring action-impact classification, defining an explicit tool allowlist, and enforcing audit-logging before dispatch.
Set up an allowlist for autonomous agent tools by configuring explicit tool boundaries that restrict actions to defined, safe resources and endpoints. This prevents agents from performing unauthorized file writes or sending external communications.
Yes, you can use audit-logging to trace autonomous agent decisions across multi-step pipelines. It records decision context, approvals, and actions before dispatch, ensuring full traceability and accountability for agent workflows.
Yes, this approach works for gating autonomous agents that interact with external services. It applies to multi-step agent pipelines across development, testing, and production environments that write files, send emails, or modify databases.
You should apply human approval gates to autonomous agent workflows whenever they plan high-impact actions like modifying production data or sending external communications. This safeguards against irreversible actions and ensures accountability.
diegosouzapwEnforce explicit contracts, timeouts, and recovery in multi-step LLM workflows.
bkywksjDocument technology choices and rationale in Architecture Decision Records with enforced templates.
mhismail3Design clear agent tool interfaces with explicit contracts and error handling.
systempromptioPromote or demote users with CLI commands and observe live access decisions.
