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SKILL verified MIT Self-run

Debugging Agent Runs

skill-cristhianzl-claude-skills-czl-debugging-agent-runs · by Cristhianzl

Recover when the AGENT itself is stuck — looping, repeating the same failed action, burning tokens/budget, overflowing context, drifting from the goal, or acting on stale state. Use when a run isn't converging and reworded retries aren't helping. This is a workflow you follow, not a hidden runtime that auto-heals. For bugs in the product code use fixing-bugs.

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Install

$ agentstack add skill-cristhianzl-claude-skills-czl-debugging-agent-runs

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
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1mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

We're building live execution health for every listing: tool-call success rate, median latency, uptime, and last-checked timestamps, measured, not self-reported. It isn't live yet, so we don't show numbers we can't stand behind.

How agent discovery & health will work →
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About

Debugging agent runs

When the problem is the run, not the code: the agent keeps trying variations of the same thing, talks itself in circles, or acts on what it remembers instead of what's true. This skill is a recovery loop to break that. Be honest: it's a discipline you apply — it can't magically fix a stuck process.

Read first (always)

List learnings/ and read anything relevant — past failure modes specific to this project belong there.

Recognize the failure mode

| Symptom | Likely cause | |---|---| | Same action retried with slightly reworded prompts | Loop / no new information between attempts | | Output truncated, "forgetting" earlier context | Context overflow → compact or restart with a tighter scope | | Repeated 429 / timeouts | Rate limit → back off, batch, slow down | | Edits land on the wrong branch/files; conflicts | Branch / diff drift → re-verify git state | | Confident claims that don't match reality | Stale state → trusting memory over the world | | Scope keeps widening while nothing lands | Scope creep → shrink to one verifiable thing |

The recovery loop

Run these in order — most stuck runs are fixed by step 1–2:

  1. Restate the real objective in one sentence. If you can't, that's the bug. Re-anchor to the user's actual goal, not the sub-task you spiraled into.
  2. Verify world state — don't trust memory. Re-read the files, git status/diff, and the actual test/command output. The model's recollection is often stale; reality isn't.
  3. Shrink the failing scope. Reduce to the smallest reproduction or the single failing unit. Big scope hides the cause.
  4. Run one discriminating check — the single command/test whose result tells you which branch of the problem you're in. Don't guess; get one new bit of information.
  5. Only then retry — and change the approach, not just the wording. If the new info didn't change your plan, you're still looping.

Anti-patterns

  • Retrying the same action three times with reworded prompts (no new information = a loop).
  • Trusting your memory of the code/state instead of re-reading it.
  • Widening scope when stuck (the opposite of step 3).
  • Fabricating that something "should now work" without a check that proves it.

When to stop and ask the human

After one full recovery pass with no progress — or on a budget/rate-limit wall — stop and surface it: the objective, what you verified, the one check you ran, and where it's blocked. A clear handoff beats more silent retries.

Capture a learning

If a project-specific failure mode or recovery trick shows up, append a learnings/YYYY-MM-DD-slug.md (or use /learn).

See also

  • skills/fixing-bugs — once you've isolated a real code bug, switch to the reproduce-first fix workflow.
  • skills/running-agent-loops — stop conditions and escalation for unattended loops.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.