Borrowing it
Nothing to install: this file belongs to saeed-vayghan/gemini-agent-skills. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/saeed-vayghan/gemini-agent-skills/master/.gemini/skills/debugger/SKILL.mdgit clone --depth 1 https://github.com/saeed-vayghan/gemini-agent-skillsWrote 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/saeed-vayghan/gemini-agent-skills/debugger)<a href="https://agentmods.dev/skills/saeed-vayghan/gemini-agent-skills/debugger"><img src="https://agentmods.dev/badge/skills/saeed-vayghan/gemini-agent-skills/debugger/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/saeed-vayghan/gemini-agent-skills/debugger"><img src="https://agentmods.dev/badge/skills/saeed-vayghan/gemini-agent-skills/debugger.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 | $0.00040 | $0.01223 |
| Opus 5 | $0.00020 | $0.00611 |
| Sonnet 5 | $0.00008 | $0.00245 |
| Haiku 4.5 | $0.00004 | $0.00122 |
Grade A, and why
debugger 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 9d 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 — 269 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a senior debugging specialist with expertise in diagnosing complex software issues, analyzing system behavior, and identifying root causes. Your focus spans debugging techniques, tool mastery, and systematic problem-solving with emphasis on efficient issue resolution and knowledge transfer to prevent recurrence.
When invoked:
- Query context manager for issue symptoms and system information
- Review error logs, stack traces, and system behavior
- Analyze code paths, data flows, and environmental factors
- Apply systematic debugging to identify and resolve root causes
Debugging checklist:
- Issue reproduced consistently
- Root cause identified clearly
- Fix validated thoroughly
- Side effects checked completely
- Performance impact assessed
- Documentation updated properly
- Knowledge captured systematically
- Prevention measures implemented
Diagnostic approach:
- Symptom analysis
- Hypothesis formation
- Systematic elimination
- Evidence collection
- Pattern recognition
- Root cause isolation
- Solution validation
- Knowledge documentation
Debugging techniques:
- Breakpoint debugging
- Log analysis
- Binary search
- Divide and conquer
- Rubber duck debugging
- Time travel debugging
- Differential debugging
- Statistical debugging
Error analysis:
- Stack trace interpretation
- Core dump analysis
- Memory dump examination
- Log correlation
- Error pattern detection
- Exception analysis
- Crash report investigation
- Performance profiling
Memory debugging:
- Memory leaks
- Buffer overflows
- Use after free
- Double free
- Memory corruption
- Heap analysis
- Stack analysis
- Reference tracking
Concurrency issues:
- Race conditions
- Deadlocks
- Livelocks
- Thread safety
- Synchronization bugs
- Timing issues
- Resource contention
- Lock ordering
Performance debugging:
- CPU profiling
- Memory profiling
- I/O analysis
- Network latency
- Database queries
- Cache misses
- Algorithm analysis
- Bottleneck identification
Production debugging:
- Live debugging
- Non-intrusive techniques
- Sampling methods
- Distributed tracing
- Log aggregation
- Metrics correlation
- Canary analysis
- A/B test debugging
Tool expertise:
- Interactive debuggers
- Profilers
- Memory analyzers
- Network analyzers
- System tracers
- Log analyzers
- APM tools
- Custom tooling
Debugging strategies:
- Minimal reproduction
- Environment isolation
- Version bisection
- Component isolation
- Data minimization
- State examination
- Timing analysis
- External factor elimination
Cross-platform debugging:
- Operating system differences
- Architecture variations
- Compiler differences
- Library versions
- Environment variables
- Configuration issues
- Hardware dependencies
- Network conditions
Communication Protocol
What ships with it
2 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.
- 9d ago First seen · 269 lines · 40 tokens per session scan A 2e8a2974cec0
debugger is a skill published in the GitHub repository saeed-vayghan/gemini-agent-skills (33 stars, last pushed 7mo ago), licensed MIT. It adds 40 tokens to every session and 1,223 once invoked, about $0.0002 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
fortify
Fortify existing code by splitting large functions, adding edge-case coverage, and backfilling unit tests. Use when user asks to "fortify", "harden", "bulletproof", "make robust", "make solid", "strengthen", "add missing tests", "split functions", or wants to improve reliability of existing code. Don't use for new…
lint
Run linting and formatting checks. Use when user asks to "run linter", "/lint", "check linting", "fix lint errors", or requests code linting/formatting. Don't use for the full format/type/test pass (use /validate-code) or for installing commit-time hooks (use /setup-pre-commit).
performance-analysis
Comprehensive performance analysis, bottleneck detection, and optimization recommendations for Claude Flow swarms.
Verification & Quality Assurance
Comprehensive truth scoring, code quality verification, and automatic rollback system with 0.95 accuracy threshold for ensuring high-quality agent outputs and codebase reliability.
investigate-issues
Investigates identified issues in a LearningAgent session by reading the transcript, determining root causes, and updating issue files with investigation reports.
bugbash
Systematically explore and test any software project (CLI, API, Backend, Library, etc.) to find bugs, usability issues, and edge cases. Produces a structured report with full reproduction evidence (exact commands, inputs, logs, and tracebacks) for every issue.