Self-Verifying Agent Loop: Plan, Check, Retry, Close

Turns a goal into a task plan with machine-run checks, executes with retry caps, escalates, and refuses to close until verified.

AI Systemsagentic-loopsverification
by AgentVoltv1.0.0
Free to sign up · every skill included with AgentVolt Pro

Before & after

Same prompt, same agent — the only difference is the skill.

Prompt“Run this marketing goal through a verified agent workflow”
Beforegeneric AI agent
That sounds like a job for an automated workflow. You'll want to break it down into discrete tasks, then figure out how to verify each one. The challenge is you need domain-specific tools for each task, and some tasks will fail and need retry logic. You might also want to set spending or attempt caps so it doesn't loop forever. Really though, it depends on what your domain is and what tools you have available—I'd need to understand your setup better to give you a concrete plan.
Afterwith Self-Verifying Agent Loop: Plan, Check, Retry, Close
GOAL: Drive marketing funnel task set to verified close

TASK PLAN
→ Research content gaps in product category
→ Write 3 blog posts addressing gaps
→ Upload posts to CMS and schedule
→ Generate social teasers for each post
→ Verify publishing and engagement setup

DOMAIN TOOLING
Marketing domain includes: content research, writing, CMS integration, social scheduling, analytics verification.

VERIFICATION GATES (machine-run checks)
• Blog post length >=800 words
• All posts scheduled within 1 week
• Social teasers reference original posts
• CMS entries have alt text
• Analytics filters match business objectives

BUDGET & RETRY
Max 12 task executions. Retry failed tasks 2x with revised approach. Escalate research gaps to human if both retries fail. Never close until all verifications pass or explicitly waived by user.

About this skill

Your agent says 'done' and the tests still fail. It retries the same fix eight times until the context runs out. Or it gets to green by quietly editing the test. This skill runs goals as a bounded loop. Every task gets a machine-run check written before any work starts. Retries must change something. Nothing closes until the evidence says so.

What it does

  • Compiles a goal into tasks, each with an exact pass condition (exit code, metric threshold, zero matches), dependencies, and allowed scope
  • Protects tests, thresholds, and check scripts. Weakening a check to get a pass counts as a failure, not a pass.
  • Classifies each failure before retrying it (bug, flaky, environment, spec ambiguity) and stops a task when the same failure shows up twice in a row
  • Keeps an append-only evidence ledger in your workspace, so long runs and subagents can resume without trusting memory
  • Escalates with a one-screen packet: what failed, what was tried, and which decision it needs from you
  • Ends with an honest status (DONE, PARTIAL, or BLOCKED) after a final regression run, with waivers recorded by whom and why

What you get

A compiled plan with checks and budgets, execution with a running ledger when tools are available, and a close report. It can also audit an agent transcript that claims to be done, or produce a reusable loop spec for your team's domain.

Best for

Claude Code users and teams running agents or subagents on multi-step work (coverage targets, migrations, content batches, data reconciliations) who are tired of false 'done' claims and runaway retry loops.

SKILL.md preview

SKILL.md
---
name: self-verifying-agent-loop

… (sign up to view the full skill)
Sign up to view, copy, and install the full skill

More ai & agents skills

View all AI & Agents skills →