🤖 AI Engineering · AI Agents

Add guardrails to autonomous agent loops

Bound agent autonomy with step budgets, spend caps, human gates, and checkpointing so failures stay cheap and debuggable.

advanced~45 minAI EngineersML EngineersLLM App Developers

Steps

1Set hard max-step and max-token budgets; treat exhaustion as a normal outcome
2Checkpoint full state after every step so runs resume or replay cleanly
3Require explicit human approval before irreversible external actions
4Detect loops: identical tool+args twice means intervene or abort
5Emit structured events per step for tracing and postmortems
6Run a canary suite of risky tasks nightly and alert on behavior drift

Common Pitfalls

▲Unbounded retry loops burning budget on a failing subgoal
▲Approving via broad allowlists instead of per-action gates

Success Signals

✓Mean steps-to-completion trending down
✓100% of destructive actions behind approval

Commands

Install with skills CLI

$ npx skills add aniruddhaadak80/skills --skill agents-agent-loop-guardrails

Install globally

$ npx skills add aniruddhaadak80/skills --skill agents-agent-loop-guardrails -g

Tags

#agents#safety#orchestration#ai-engineering

Install this skill

$ npx skills add aniruddhaadak80/skills --skill agents-agent-loop-guardrails -a opencode

SKILL.md

# Add guardrails to autonomous agent loops

> Bound agent autonomy with step budgets, spend caps, human gates, and checkpointing so failures stay cheap and debuggable.

## When to Use This Skill

Bound agent autonomy with step budgets, spend caps, human gates, and checkpointing so failures stay cheap and debuggable.

## Steps

1. Set hard max-step and max-token budgets; treat exhaustion as a normal outcome
2. Checkpoint full state after every step so runs resume or replay cleanly
3. Require explicit human approval before irreversible external actions
4. Detect loops: identical tool+args twice means intervene or abort
5. Emit structured events per step for tracing and postmortems
6. Run a canary suite of risky tasks nightly and alert on behavior drift

## Common Pitfalls

- Unbounded retry loops burning budget on a failing subgoal
- Approving via broad allowlists instead of per-action gates

View source on GitHub ↗

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