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/ifiokjr/monopi/debug-helpernpx skills add ifiokjr/monopi --skill debug-helpergit clone --depth 1 https://github.com/ifiokjr/monopiWrote 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/ifiokjr/monopi/debug-helper)<a href="https://agentmods.dev/skills/ifiokjr/monopi/debug-helper"><img src="https://agentmods.dev/badge/skills/ifiokjr/monopi/debug-helper.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 5.1 | $0.00028 | $0.00342 |
| Opus 5 | $0.00014 | $0.00171 |
| Sonnet 5 | $0.00006 | $0.00068 |
| Haiku 4.5 | $0.00003 | $0.00034 |
Grade A, and why
debug-helper 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 6d 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.
What it actually says
Debug Helper
Systematic debugging workflow.
Error Analysis
- Read the error: full stack trace and error message
- Locate: find the source file and line
# Search for the error origin grep -rn "ErrorClass\|error_function" src/ - Context: read surrounding code (±30 lines)
- Reproduce: identify minimal reproduction steps
- Root cause: trace the data flow to find where it goes wrong
- Fix: minimal change that addresses the root cause
- Verify: run the failing case to confirm the fix
Log Analysis
- Read the log file or output
- Identify patterns: timestamps, error levels, request IDs
- Correlate events across log lines
- Summarize: what happened, when, and why
Performance Profiling
- Measure: get baseline numbers first
time <command> - Profile: use language-appropriate tools:
- Node.js:
--prof,clinic.js - Python:
cProfile,py-spy - Go:
pprof
- Node.js:
- Identify: find the hotspot (usually 1-2 functions)
- Optimize: fix the bottleneck
- Verify: measure again, compare with baseline
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.
- 6d ago First seen · 45 lines · 28 tokens per session scan A 8b42fd26bd5b
debug-helper is a skill published in the GitHub repository ifiokjr/monopi (149 stars, last pushed yesterday), licensed MIT. It adds 28 tokens to every session and 342 once invoked, about $0.0001 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.
Other skills, from other repositories
debug-optimize-lcp
Guides debugging and optimizing Largest Contentful Paint (LCP) using Chrome DevTools MCP tools. Use this skill whenever the user asks about LCP performance, slow page loads, Core Web Vitals optimization, or wants to understand why their page's main content takes too long to appear. Also use when the user mentions…
systematic-debugging
Use when debugging a failing test, build error, or runtime issue that isn't immediately obvious. Guides a 4-phase root cause analysis instead of random fix attempts.
diagnose
Trace from a reproduced symptom to the source code that causes it. Pin the specific file and approximate line, rate confidence in the cause and clarity of the fix independently, and always propose a concrete fix.
azsdk-common-pipeline-analysis
Analyze Azure SDK CI/CD pipeline failures into a structured diagnosis, and define the required output format. Load this skill before calling azsdkanalyzepipeline, which returns raw failure data that this skill interprets and formats. USE FOR: "pipeline failed", "build failure", "CI check failing", "tests failing in…
repro-admin
Reproduce an EmDash admin UI bug. Attach a container, start the demo dev server, drive the admin with agent-browser using the dev-bypass session, and capture the reproduction as screenshots plus a replayable transcript.
log-error-digest
Analyze log files to troubleshoot errors, identify peak error periods, and produce error clustering, frequency statistics, and time distribution reports. Supports JSON, syslog, and Nginx formats with automatic detection. Use when a user uploads a .log file and asks to analyze errors, find patterns, debug issues, or…