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/oh-my-openagent --skill debugginggit clone --depth 1 https://github.com/code-yeongyu/oh-my-openagentWrote 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/oh-my-openagent/debugging)<a href="https://agentmods.dev/skills/code-yeongyu/oh-my-openagent/debugging"><img src="https://agentmods.dev/badge/skills/code-yeongyu/oh-my-openagent/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/oh-my-openagent/debugging"><img src="https://agentmods.dev/badge/skills/code-yeongyu/oh-my-openagent/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 102 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 15d 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 The source is not reproduced here
A licence we could not identify
The repository carries a LICENSE file, but it is custom or dual enough that GitHub cannot name it and neither can this catalogue. Unknown terms are not permission, so the body is not copied here. Read the licence at the source and decide for yourself.
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.
- 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/dap.test.ts 4.5 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.
- 15d ago Changed 0c519973809b
- 22d ago Changed 1c14255f7294
- 1mo ago Changed · -195 tokens per session 49fb22e0a1ad
- 1mo ago First seen · 120 lines · 248 tokens per session scan A 5649fb879966
debugging is a skill published in the GitHub repository code-yeongyu/oh-my-openagent (70,077 stars, last pushed today), with no licence file. 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
debugging-strategies
Master systematic debugging techniques, profiling tools, and root cause analysis to efficiently track down bugs across any codebase or technology stack. Use when investigating bugs, performance issues, or unexpected behavior.
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sql-optimization-patterns
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parallel-debugging
Debug complex issues using competing hypotheses with parallel investigation, evidence collection, and root cause arbitration. Use this skill when debugging bugs with multiple potential causes, performing root cause analysis, or organizing parallel investigation workflows.
error-handling-patterns
Master error handling patterns across languages including exceptions, Result types, error propagation, and graceful degradation to build resilient applications. Use when implementing error handling, designing APIs, or improving application reliability.
spark-optimization
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