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 agentmods add skills/rohitg00/skillkit/trace-and-isolatenpx skills add rohitg00/skillkit --skill trace-and-isolategit clone --depth 1 https://github.com/rohitg00/skillkitWrote 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/rohitg00/skillkit/trace-and-isolate)<a href="https://agentmods.dev/skills/rohitg00/skillkit/trace-and-isolate"><img src="https://agentmods.dev/badge/skills/rohitg00/skillkit/trace-and-isolate.svg" alt="Measured on agentmods" 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 | $0.00120 | $0.01707 |
| Opus 5 | $0.00060 | $0.00853 |
| Sonnet 5 | $0.00024 | $0.00341 |
| Haiku 4.5 | $0.00012 | $0.00171 |
Grade A, and why
trace-and-isolate 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 4d 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 — 290 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Trace and Isolate
You are using systematic tracing and isolation techniques to narrow down where a bug originates. The goal is to find the exact location in code where behavior diverges from expectation.
Quick Reference
| Scenario | Technique |
|---|---|
| Large codebase / complex flow | Binary search debugging |
| Bug appeared between commits | git bisect |
| Unclear data transformation | Strategic [TRACE] logging |
| Which component is faulty? | Component isolation + mocks |
| Bug hard to reproduce | Minimal reproduction case |
| Conditional or intermittent bug | Conditional breakpoints / watch expressions |
Binary Search Debugging
When you have a large codebase or complex flow:
- Identify the start - Last known good state
- Identify the end - First observed bad state
- Test the middle - Check if behavior is good or bad
- Repeat - Binary search on the half with the bug
Code Path Binary Search
Start: User clicks submit button
End: Error shown to user
Midpoint 1: Form validation
→ Data looks correct here? Continue to later code
→ Data already wrong? Focus on earlier code
Midpoint 2: API request construction
→ Request payload correct? Focus on server side
→ Payload already malformed? Focus on form handling
...Continue until exact line is found
Git Bisect for Regressions
When a bug appeared between two commits:
# Start bisect
git bisect start
# Mark current (broken) state as bad
git bisect bad
# Mark last known good state
git bisect good v2.3.0
# Git checks out middle commit, test and mark
git bisect good # or git bisect bad
# Repeat until found
# Git will report: "abc123 is the first bad commit"
# Clean up
git bisect reset
Automated bisect with test script:
git bisect start HEAD v2.3.0
git bisect run npm test -- --grep "failing test"
Tracing Techniques
Strategic Logging
Add temporary logging at key points:
function processOrder(order) {
console.log('[TRACE] processOrder input:', JSON.stringify(order));
const validated = validateOrder(order);
console.log('[TRACE] after validation:', JSON.stringify(validated));
const priced = calculatePrice(validated);
console.log('[TRACE] after pricing:', JSON.stringify(priced));
const result = submitOrder(priced);
console.log('[TRACE] final result:', JSON.stringify(result));
return result;
}
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.
- 4d ago First seen · 290 lines · 120 tokens per session scan A b6105312e8da
trace-and-isolate is a skill published in the GitHub repository rohitg00/skillkit (1,477 stars, last pushed 3mo ago), licensed Apache-2.0. It adds 120 tokens to every session and 1,707 once invoked, about $0.0006 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 2026-08-30.
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Reviews a service or codebase against a full observability checklist — logs, metrics, traces, and alerting gaps.
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