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 hainamchung/agent-assistant --skill debugginggit clone --depth 1 https://github.com/hainamchung/agent-assistantWrote 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/hainamchung/agent-assistant/debugging)<a href="https://agentmods.dev/skills/hainamchung/agent-assistant/debugging"><img src="https://agentmods.dev/badge/skills/hainamchung/agent-assistant/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/hainamchung/agent-assistant/debugging"><img src="https://agentmods.dev/badge/skills/hainamchung/agent-assistant/debugging.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00067 | $0.00705 |
| Opus 5 | $0.00034 | $0.00352 |
| Sonnet 5 | $0.00013 | $0.00141 |
| Haiku 4.5 | $0.00007 | $0.00071 |
Grade A, and why
Debugging scanned grade A with 0 findings 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 8d 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.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 85 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Debugging
Comprehensive debugging framework combining systematic investigation, root cause tracing, defense-in-depth validation, and verification protocols.
Core Principle
NO FIXES WITHOUT ROOT CAUSE INVESTIGATION FIRST
Random fixes waste time and create new bugs. Find the root cause, fix at source, validate at every layer, verify before claiming success.
When to Use
Always use for: Test failures, bugs, unexpected behavior, performance issues, build failures, integration problems, before claiming work complete
Especially when: Under time pressure, "quick fix" seems obvious, tried multiple fixes, don't fully understand issue, about to claim success
The Four Techniques
1. Systematic Debugging (references/systematic-debugging.md)
Four-phase framework ensuring proper investigation:
- Phase 1: Root Cause Investigation (read errors, reproduce, check changes, gather evidence)
- Phase 2: Pattern Analysis (find working examples, compare, identify differences)
- Phase 3: Hypothesis and Testing (form theory, test minimally, verify)
- Phase 4: Implementation (create test, fix once, verify)
Key rule: Complete each phase before proceeding. No fixes without Phase 1.
Load when: Any bug/issue requiring investigation and fix
2. Root Cause Tracing (references/root-cause-tracing.md)
Trace bugs backward through call stack to find original trigger.
Technique: When error appears deep in execution, trace backward level-by-level until finding source where invalid data originated. Fix at source, not at symptom.
Includes: scripts/find-polluter.sh for bisecting test pollution
Load when: Error deep in call stack, unclear where invalid data originated
3. Defense-in-Depth (references/defense-in-depth.md)
Validate at every layer data passes through. Make bugs impossible.
Four layers: Entry validation → Business logic → Environment guards → Debug instrumentation
Load when: After finding root cause, need to add comprehensive validation
What ships with it
6 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.
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.
- 8d ago First seen · 85 lines · 67 tokens per session scan A 43639a9454cd
Debugging is a skill published in the GitHub repository hainamchung/agent-assistant (54 stars, last pushed 3mo ago), licensed MIT. It adds 67 tokens to every session and 705 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.
Other skills, from other repositories
systematic-debugging
4-phase root cause debugging: understand bugs before fixing.
build-test
Run the project's build / typecheck / lint / test commands and emit the build.passing + tests.passing signals devloop convergence reads.
work
Deliver one maintainer-approved EmDash issue, choosing the bug-fix path for a defect and the direct implementation path for an enhancement or task.
behavior-contract
Bug condition/postcondition formalization as testable Behavior Contracts. Defines invariants that must be preserved across fixes.
nw-bugfix
Bug fix workflow: root cause analysis → user review → regression test + fix via TDD.
test-first-bugs
Enforces a test-driven bug-fixing workflow. Use when a user reports a bug, failing code, an error, or asks to fix something.