LazyCodex is an agent harness for working on complex codebases, combining project memory, planning, execution, and completion checks inside Codex. It is for developers who want structured, repeatable assistance when handling substantial software projects. The catalogue contains the skills, hook, and MCP integration that provide its workflow inside Codex.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add code-yeongyu/lazycodex --skill debugginggit clone --depth 1 https://github.com/code-yeongyu/lazycodexWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/code-yeongyu/lazycodex/debugging)<a href="https://agentmods.dev/skills/code-yeongyu/lazycodex/debugging"><img src="https://agentmods.dev/badge/skills/code-yeongyu/lazycodex/debugging/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/code-yeongyu/lazycodex/debugging"><img src="https://agentmods.dev/badge/skills/code-yeongyu/lazycodex/debugging.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 100 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00053 | $0.03090 |
| Opus 5.5 | $0.00021 | $0.01236 |
| Sonnet 5.5 | $0.00011 | $0.00618 |
| Haiku 4.5 | $0.00005 | $0.00309 |
Grade A, and why
debugging scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 14d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
| **omowright** | Any browser-served web UI bug. Any flow that requires clicking/typing/navigating. Any "works locally, breaks in prod" where the browser or viewport is the variable. **For Phase 8 QA of any browser produ How it starts
The opening of the file, as written. The whole thing — 120 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Debugging
You are a hypothesis-driven debugger. Two disciplines apply regardless of language, runtime, or whether you have source:
- Runtime truth beats code reading. Every claim about why the bug happens must come from observed state — never from a plausible story spun from reading code.
- Leave no trace. Debugging creates artifacts. Every artifact is journaled and removed before you call the task done.
The rest of this file is a map. The knowledge is in references/. This file cannot teach you how to debug — it can only tell you which reference will, for your exact situation.
🚨 READ THE REFERENCES. THIS IS NOT OPTIONAL.
This skill is intentionally small. Ninety percent of what you need to know lives in
references/. If you skim this file and start working without opening the references, you will reattach a debugger the wrong way, miss a silent-failure pattern you've never seen before, waste an hour on a source-map gotcha, or invent a worse version of a tool that already solves your problem.Every reference below is mandatory when its scenario applies. "I know this language" is not an exemption. The references exist because every runtime and every specialist tool has at least one gotcha that silently wastes hours, and you will not know which gotcha until you read the file.
The gate rule: before you run a command from a given reference's domain, you must have read that reference in this session. Re-reading across sessions is cheap. Guessing is expensive.
Runtime Setup — MANDATORY READING BEFORE ATTACHING
The methodology is language-agnostic. The commands to launch, attach, breakpoint, and inspect are not. Open the matching reference before Phase 0. Not during. Not after.
| Your runtime is… | Open this before attaching anything | Non-negotiable because… |
|---|---|---|
| Python (CPython, pytest, asyncio, Django, FastAPI) | 📖 references/runtimes/python.md | pdb vs ipdb vs debugpy vs pytest --pdb all have different attach semantics. Async code needs special breakpoint handling. Wrappers like poetry run swallow flags. |
| Node.js / tsx / ts-node / Bun / Deno (running source) | 📖 references/runtimes/node.md | tsx + node inspect CLI has a silent source-map failure — breakpoints by line number do not fire. You will not notice unless you read this first. |
| Rust (cargo, tokio, panics) | 📖 references/runtimes/rust.md | Release builds strip symbols. Tokio tasks need tokio-console. The borrow checker makes dbg! the faster tool most of the time. |
| Go (goroutines, dlv, pprof, race) | 📖 references/runtimes/go.md | Goroutine leaks and recovered panics are silent by default. dlv has a specific port convention. go test -race is the first thing to run, not the last. |
| Native binary / stripped C/C++ / no source | 📖 references/runtimes/native-binary.md | The workflow (triage → dynamic → static → scripted repro) is counterintuitive if you've never done it. strings -n 8 silently drops short interpolations like ${x} — read bytes directly for any extraction that matters. macOS adds SIP / Mach-O / lldb specifics that don't apply on Linux. |
| Bundled-app binary (Bun SEA, Node SEA, Deno compile, pkg, nexe, Electron, Tauri, PyInstaller) | 📖 references/runtimes/bundled-js-binary.md | These look like Mach-O / ELF but their high-level source is recoverable with the right per-bundler tool — Ghidra is overkill. Source-format reality varies: Bun/pkg/nexe/Electron-asar are usually plaintext; Node SEA with code-cache, PyInstaller .pyc, and Deno eszip need extra tooling; Tauri's Rust core still needs native-binary.md. Workflow: identify bundler → locate bundle → extract with the bundler-specific tool → grep. |
What ships with it
24 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- agents/openai.yaml 44 B
- references/methodology/00-setup.md 6.2 KB
- references/methodology/02-investigate.md 9.2 KB
- references/methodology/03-flaky-triage.md 4.4 KB
- references/methodology/04-oracle-triple.md 6.6 KB
- references/methodology/05-escalate.md 3.1 KB
- references/methodology/06-fix.md 7.1 KB
- references/methodology/08-qa.md 6.1 KB
- references/methodology/09-cleanup.md 6.0 KB
- references/methodology/partial-runtime-evidence.md 10 KB
- references/runtimes/bundled-js-binary.md 19 KB
- references/runtimes/go.md 8.5 KB
- references/runtimes/native-binary.md 23 KB
- references/runtimes/node.md 10 KB
- references/runtimes/python.md 8.7 KB
- references/runtimes/rust.md 8.2 KB
- references/scripts/dap.mjs 14 KB runs code
- references/scripts/fixture-adapter.mjs 3.3 KB runs code
- references/tools/browser-qa.md 4.3 KB
- references/tools/dap.md 5.8 KB
- references/tools/frida.md 6.4 KB
- references/tools/ghidra.md 7.2 KB
- references/tools/pwndbg.md 7.7 KB
- references/tools/pwntools.md 7.2 KB
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 14d ago Changed 0c519973809b
- 22d ago Changed 1c14255f7294
- 1mo ago Changed · +2 lines · -195 tokens per session 49fb22e0a1ad
- 1mo ago First seen · 118 lines · 248 tokens per session scan A 8384561eb5a4
debugging is a skill published in the GitHub repository code-yeongyu/lazycodex (3,782 stars, last pushed 3d ago), licensed MIT. It adds 53 tokens to every session and 3,090 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other skills, from other repositories
code_explorer
Explores the repository to locate primary source files, coupled UI components, and test files for bug reports or feature requests.
test-failure-explorer
Import and query an existing Vitest 3.2 JSON report to explore test failures, file-level errors and original diagnostic evidence.
feedback
Skill "feedback" from Hmbown/Codewhale, covering feedback, when to use, setup, workflow and non-goals.
session-investigator
Investigate fast-agent session and history files to diagnose issues. Use when a session ended unexpectedly, when debugging tool loops, when correlating sub-agent traces with main sessions, or when analyzing conversation flow and timing. Covers session.json metadata, history JSON format, message structure, tool…
smiles-validation
Strict SMILES validation, structural comparison, and modification verification. Catches invalid LLM-generated molecules.
oversight-team
Use when you are a seat on the oversight pod (a standing monitor-mode rig that keeps OTHER rigs healthy), configuring or running the drift detectors, or choosing whether to intervene vs escalate. Covers the pull-not-poll posture, the v0 detectors (premature-park, process-drift, off-task, token-burn), the intervention…