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 strikersam/autonomous-ai-agency --skill debug-tracergit clone --depth 1 https://github.com/strikersam/autonomous-ai-agencyWrote 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/strikersam/autonomous-ai-agency/debug-tracer)<a href="https://agentmods.dev/skills/strikersam/autonomous-ai-agency/debug-tracer"><img src="https://agentmods.dev/badge/skills/strikersam/autonomous-ai-agency/debug-tracer/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/strikersam/autonomous-ai-agency/debug-tracer"><img src="https://agentmods.dev/badge/skills/strikersam/autonomous-ai-agency/debug-tracer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00000 | $0.00711 |
| Opus 5 | $0.00000 | $0.00356 |
| Sonnet 5 | $0.00000 | $0.00142 |
| Haiku 4.5 | $0.00000 | $0.00071 |
Grade A, and why
debug-tracer 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 11d 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 — 101 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill: debug-tracer
Purpose
Systematically trace and resolve bugs using hypothesis-driven debugging. Prevents random trial-and-error and ensures the root cause is found, not just the symptom.
Trigger
Use when:
- A bug report needs investigation
- Tests are failing unexpectedly
- Behavior is wrong but the cause is unknown
- "It worked before" situations
Process
Step 1: Reproduce First
Before any investigation, reproduce the bug:
# Document exact reproduction steps:
1. [exact command or action]
2. [expected behavior]
3. [actual behavior]
4. [error message or output]
If you cannot reproduce it, stop. A bug you can't reproduce cannot be safely fixed.
Step 2: Gather Evidence
Collect all available information:
- Full error message and stack trace
- Relevant log output
- When it started occurring (if known)
- What changed recently (
git log --oneline -20) - Environment details if relevant
Step 3: Form Hypotheses
Based on the evidence, list 2-5 hypotheses ranked by likelihood:
## Hypotheses
1. [Most likely] The input validation in X is not handling Y case
2. [Likely] Race condition in async handler Z
3. [Possible] Dependency version mismatch after recent update
4. [Unlikely] Infrastructure/environment issue
Step 4: Test Hypotheses (Cheapest First)
For each hypothesis, starting with the easiest to test:
- What evidence would confirm or deny this hypothesis?
- What is the minimal test to check it?
- Run the test
- Update hypothesis list based on results
Never fix before confirming hypothesis.
Step 5: Identify Root Cause
Once a hypothesis is confirmed:
- Find the exact line(s) causing the issue
- Understand WHY it causes the issue (not just that it does)
- Check if the same pattern exists elsewhere in the codebase
Step 6: Fix
Apply the minimal fix that addresses the root cause:
- Do not "fix" symptoms
- Do not add defensive code around the bug without fixing it
- The fix should make the reproduction steps work correctly
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.
- 11d ago First seen · 101 lines · 0 tokens per session scan A 758c767c6d41
debug-tracer is a skill published in the GitHub repository strikersam/autonomous-ai-agency (8 stars, last pushed today), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 711 tokens. 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.
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behavior-contract
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quality-hooks
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systematic-debugging
Structured debugging methodology using hypothesis-driven investigation, log analysis, and bisection to isolate and resolve defects.
debugging-patterns
Root cause analysis frameworks including log-first investigation, git bisect correlation, and pattern-based diagnosis with confidence scoring.
hotfix-triage
Urgent issue classification, root cause analysis, and fast-path routing for production hotfixes.