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 tolgakisaogullari/SumelaOS --skill systematic-debugginggit clone --depth 1 https://github.com/tolgakisaogullari/SumelaOSWrote 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/tolgakisaogullari/sumelaos/systematic-debugging)<a href="https://agentmods.dev/skills/tolgakisaogullari/sumelaos/systematic-debugging"><img src="https://agentmods.dev/badge/skills/tolgakisaogullari/sumelaos/systematic-debugging.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 | $0.00023 | $0.00726 |
| Opus 5 | $0.00012 | $0.00363 |
| Sonnet 5 | $0.00005 | $0.00145 |
| Haiku 4.5 | $0.00002 | $0.00073 |
Grade A, and why
systematic-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.
What it actually says
<debugging_workflow> Execute these 4 phases sequentially:
-
ROOT CAUSE INVESTIGATION:
- SECOND BRAIN CHECK: Before deep-diving, scan
wiki/tech-debt-and-known-issues.mdfor related TD entries — the bug may already be documented as known debt. Also checkwiki/architecture-decisions.mdfor constraints that may explain the behavior. This prevents re-discovering problems the wiki already tracks. - Read full error messages and stack traces.
- Reproduce the issue consistently in the current state.
- For multi-layer systems: Add diagnostic logs at component boundaries to isolate the failing layer.
- Trace data flow backward to find where the bad value originated (see
./root-cause-tracing.md).
- SECOND BRAIN CHECK: Before deep-diving, scan
-
PATTERN ANALYSIS:
- Find similar working code in the codebase as a reference.
- Identify exact differences between the working reference and the broken code.
-
HYPOTHESIS & ISOLATION:
- Formulate a single, specific hypothesis.
- Make the SMALLEST possible isolated change to test it. Do not bundle multiple fixes.
-
IMPLEMENTATION & VERIFICATION (ADAPTIVE TDD & STAGED WORKFLOW):
- Check the
TDD Mode.- IF Enabled: Create a failing test case first that reproduces the issue.
- IF Skipped: Proceed to fix directly, UNLESS the bug involves AuthN, AuthZ, or security boundaries. Security bugs ALWAYS require a failing test to prove the vulnerability before fixing.
- Implement the single fix. You MUST ensure the fix strictly adheres to the
secure-coding-standard. Never bypass security layers (e.g., wildcards, disabling auth) just to make a bug disappear. - MANDATORY: Invoke the
verification-before-completionskill to strictly verify the fix works and no regressions occurred. - Once verified, ONLY stage the fixed files (
git add <files>). DO NOT usegit commit. - Inform the orchestrator/user that the fix is STAGED and ready for the
requesting-code-reviewskill. </debugging_workflow>
- Check the
<architectural_escalation> CRITICAL RULE: If your fix does not work, REVERT IT safely before trying another. Do not pile fixes on top of failed fixes.
- SAFE REVERT: Use
git restore <file>orgit checkout -- <file>to discard unstaged failed attempts. NEVER usegit reset --hardas it will destroy other successfully staged work.
If you attempt 3 separate isolated fixes and ALL fail:
- STOP IMMEDIATELY. Do not attempt a 4th fix.
- Revert your last failed attempt to keep the working tree clean.
- This is an architectural problem, not a simple bug.
- Escalate to the human partner to rethink the fundamental architecture or pattern. </architectural_escalation>
<supporting_techniques> Reference these if applicable:
./defense-in-depth.md(Add validation at multiple layers)./condition-based-waiting.md(Replace arbitrary timeouts with condition polling) </supporting_techniques>
What ships with it
5 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 · 53 lines · 23 tokens per session scan A 78b64d144a9d
systematic-debugging is a skill published in the GitHub repository tolgakisaogullari/SumelaOS (4 stars, last pushed 13d ago), licensed MIT. It adds 23 tokens to every session and 726 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 2026-08-31.
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.
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…
byted-util-volcengine-detect-retry
An orchestration workflow for Volcengine Cloud Detect, a service that checks websites or network endpoints from test locations.