Human-in-the-Loop (HITL) Patterns
SkillAI & modelsUse when designing human approval gates for high-stakes agent actions. Keywords: human-in-the-loop, HITL, approval gate, checkpoint, confirmation, risk-tiered, action review.
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Then ask your AI: use the Human-in-the-Loop (HITL) Patterns skill
What this skill tells your AI
The instructions your AI receives, as published by vodailocz/kilo-kit-mcp in skills/productivity/human-in-the-loop/SKILL.md and read by ahel’s review.
Overview
The "Human-in-the-Loop" (HITL) skill provides a standardized framework for integrating human oversight into agentic workflows. By tiering actions based on risk, we ensure autonomy is utilized safely for low-impact tasks while maintaining rigorous human control over high-impact operations. This skill aligns with the C4 Runtime Protocol to prevent "black box" agent behavior.
When To Use
- Before performing destructive file operations (e.g.,
rm -rf, bulk overwrites). - Before triggering deployment pipelines or infrastructure changes.
- Before making financial or security-impacting decisions.
- When an agent's confidence in a plan or outcome is below a critical threshold.
- When the user requires explicit auditability of agent intent.
Risk-Tiered Action Matrix
To manage friction, apply the appropriate gate based on the action category:
| Tier | Category | Mechanism | User UX |
|---|---|---|---|
| 0 | Informational | Auto-Approve | Logged in background/console. |
| 1 | Standard Edit | Warn/Confirm | Inline diff preview + "Proceed". |
| 2 | Destructive/Critical | Hard Gate | Explicit approval required; blocked until sign-off. |
| 3 | Financial/Deployment | Multi-Factor/Formal Audit | Requires explicit sign-off via UI/Artifact link. |
Checkpoint Design Patterns
- The Plan Preview: Agents must expose the plan artifact before execution.
- Structured Clarification: Use tool-based, multi-choice queries to reduce ambiguity, avoiding open-ended questions that fatigue users.
- Delta Validation: Always present a
diffor specific "what is changing" summary before writing. - Resumption Points: Save state tokens to ensure that if a session drops, the human can review the exact state, modify if needed, and resume.
Implementation Workflow
- Identify Risk: Evaluate the proposed task against the Risk-Tiered Action Matrix.
- Surface Intent: Generate an "Action Summary" using the
ask_questiontool or an artifact. - Await Authorization: Use non-blocking pauses (or asynchronous messaging) to wait for approval.
- Execute with Trace: Perform the action under a logging wrapper that records the authorized state ID.
- Verify: Immediately follow with a verification check to confirm the expected outcome.
C4 Integration
HITL checkpoints are first-class citizens in C4:
- Brainstorming Gate: Agents must have their proposed path confirmed by the user before transitioning to
ready. - Verification Gate: After execution, the agent must present the "result vs. expectation" for user sign-off to close the cycle.
UX Patterns
- Transparency: Clearly display why a decision was made.
- Micro-interactions: Keep confirmation dialogs context-aware (e.g., provide links to the specific files being modified).
- Rollback Safety: Always provide an "Undo/Rollback" pathway for any high-risk action taken.
Anti-patterns
- Over-gating: Asking for permission on routine/low-impact tasks (causes "alert fatigue").
- Under-gating: Proceeding with high-risk/destructive actions without explicit, documented user consent (unsafe autonomy).
- Vague Prompts: "Is this okay?" (inadequate description of change). Always use: "I am about to replace X with Y. Do you approve?"
References
Signals
- GitHub stars
- 26
- Forks
- 2
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
human-in-the-loop-vodailocz- Source
- github.com/vodailocz/kilo-kit-mcp