Skip to content
Agentmart
Submit a tool

debug

Systematic root-cause isolation for test failures, runtime errors, or unexpected behavior.

Skill by epicsagas

IndexedApache-2.0★ 19
Write a review

Chalk Labs

Need help deploying debug?

Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.

Book a call

Install

Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/epicsagas-debug

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

Get the weekly diff

The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.

We use your email only for this newsletter. Privacy

About

Systematic root-cause isolation for test failures, runtime errors, or unexpected behavior. Narrow hypothesis → verify → fix.

Use cases: testing

No reviews yet. Installed it? Reviews come from verified installers only. How reviews work

Permissions

What this skill can do and what it asks for, from its SKILL.md and code. Checked Oct 25, 2026.

Tools
No tools found
Secrets
None asked for
Install scripts
None found

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/debug

What's inside

Skill name
debug
Description
Systematic root-cause isolation for test failures, runtime errors, or unexpected behavior. Narrow hypothesis → verify → fix.
License
Apache-2.0
Instructions
91 lines in SKILL.md · view on GitHub

Files (1)

  • SKILL.md

SKILL.md (first lines)

# Debug — Systematic Debugging

## Iron Law

NO FIXES WITHOUT ROOT CAUSE INVESTIGATION FIRST. Symptom fixes are whack-a-mole debugging.

## Process

### 0. Recall
- Query the knowledge graph: `epic mem search "ERROR_MESSAGE_OR_FILE"` for the error message or file name
- Check if a `resolution` or `pattern` node exists for this error category
- If a past resolution exists, apply it directly instead of re-debugging from scratch

**Why**: Past resolutions save 10-30 minutes of re-investigation. The knowledge graph exists so you don't repeat work.

### 1. Observe
- Read the full error message and stack trace
- Identify: What was expected? What actually happened?
- Note the exact file, line, and function

**Why**: Precise observation prevents misdiagnosis. Most debug loops start from skimming the error instead of reading it fully.

### 2. Hypothesize
Form 2-3 possible causes. Rank by likelihood.

**Why**: Ranked hypotheses prevent random code changes. Even a wrong hypothesis narrows the search space.

### 3. Isolate
- **Narrow the scope**: Binary search through recent changes
- **Reproduce minimally**: Smallest input that triggers the error
- **Check assumptions**: Print/log intermediate values
- **Bisect**: `git log --oneline -10` — when did it last work?

**Why**: Isolation proves the cause before you touch any code. Without it, you're guessing.

### 4. Fix
- Fix the root cause, not the symptom
- If the fix is a workaround, add a TODO with explanation

**Why**: Root cause fixes are permanent. Symptom patches rot and hide the real bug.

### 5. Verify
- Run the failing test — must pass now
- Run the full test suite — no regressions
- If this was a bug, the regression test stays

**Why**: A passing fix without verification is wishful thinking. The full suite catches side effects.

### 6. Record
- If the fix involved 3+ debug steps, record a `resolution` node via `epic mem add --title "..." --type resolution --body "..."`
- Include: error category, root cause, solution approach
- This enables future sessions to skip re-debugging the same class of issues

**Why**: Recording turns one-time debugging into institutional knowledge. Future sessions benefit from your effort.

## When to Trigger
- Any test failure during `/go` execution
- Runtime error in tool output
- "Unexpected" in any output

## Anti-Rationalization

| Excuse | Rebuttal | What to do instead |
|--------|----------|-------------------|
| "Let me just try again" | Retrying without changing anything is not debugging. | Form a new hypothesis before each attempt. |
| "It works on my machine" | Environment differences are bugs too. | Reproduce in the actual target environment first. |
| "I'll just catch the exception" | That hides the bug, doesn't fix it. | Fix the root cause. Only catch what you can handle meaningfully. |
| "It's probably a flaky test" | Flaky tests hide real bugs. Prove it's flaky before dismissing. | Run it 3x in isolation. If it fails consistently, it's real. |
| "I'll add more logging" | Logging without a hypothesis is fishing. | Hypothesize first, then add targeted logging to confirm/deny. |
| "It's probably just a typo" | Assumptions are the enemy of debugging. Reproduce first, then diagnose. | Read the full error, reproduce it, and verify before assuming simplicity. |
| "Let me just try changing this one thing" | Whack-a-mole debugging creates more bugs. Follow the hypothesis → isolate → fix cycle. | Form a hypothesis, isolate the cause, then fix with evidence. |
| "The error message tells me everything" | Error messages describe symptoms, not root causes. Investigate the chain. | Trace the error to its origin. The message is the starting point, not the answer. |

## Evidence Required

Before claiming the bug is fixed, show ALL of these:

- [ ] Root cause identified: one sentence explaining WHY it broke
- [ ] Fix applied: diff showing the change
- [ ] Previously failing test now passes (show output)
- [ ] Full test suite passes (no regressions)
- [ ] If bug came from a pattern, regression test added to prevent recurrence

**"It works now" without root cause = symptom patch, not a fix.**

## Red Flags
- Changing random things hoping something works
- More than 3 retry attempts without forming a new hypothesis
- Suppressing errors instead of fixing them

From epicsagas/epic-harness, Apache-2.0.

More from epicsagas/epic-harness

Signals

Stars
19
Forks
5
Open issues
3
Last commit (this folder)
Jun 25, 2026 (4 months ago)
Last release
Oct 23, 2026 (7 days ago)

From GitHub (fetched Oct 24, 2026).

Details

License
Apache-2.0
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

More from epicsagas

Done for you

Rather not set it up yourself?

Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.

See how we build AI agents →Read the case studies

Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.

launches shipped
50+
launches shipped
media placements
500+
media placements
founders on every account
2
founders on every account

Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block

Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.

Get debug running in your business

Tell us what you want to automate. A founder replies within one working day with a plan, not a pitch deck.

Goes to the Chalk Labs founders, not the newsletter. Privacy

Need help deploying debug?

CallGet help
Cite this page

debug skill. Agent Mart. https://agentmart.dev/skills/epicsagas-debug (last updated 2026-10-24)