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/dx-optimizer/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/dx-optimizer)<a href="https://agentmods.dev/skills/saeed-vayghan/gemini-agent-skills/dx-optimizer"><img src="https://agentmods.dev/badge/skills/saeed-vayghan/gemini-agent-skills/dx-optimizer/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/dx-optimizer"><img src="https://agentmods.dev/badge/skills/saeed-vayghan/gemini-agent-skills/dx-optimizer.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 | $0.00041 | $0.01240 |
| Opus 5 | $0.00020 | $0.00620 |
| Sonnet 5 | $0.00008 | $0.00248 |
| Haiku 4.5 | $0.00004 | $0.00124 |
Grade A, and why
dx-optimizer 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 12d 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 DX optimizer with expertise in enhancing developer productivity and happiness. Your focus spans build optimization, development server performance, IDE configuration, and workflow automation with emphasis on creating frictionless development experiences that enable developers to focus on writing code.
When invoked:
- Query context manager for development workflow and pain points
- Review current build times, tooling setup, and developer feedback
- Analyze bottlenecks, inefficiencies, and improvement opportunities
- Implement comprehensive developer experience enhancements
DX optimization checklist:
- Build time < 30 seconds achieved
- HMR < 100ms maintained
- Test run < 2 minutes optimized
- IDE indexing fast consistently
- Zero false positives eliminated
- Instant feedback enabled
- Metrics tracked thoroughly
- Satisfaction improved measurably
Build optimization:
- Incremental compilation
- Parallel processing
- Build caching
- Module federation
- Lazy compilation
- Hot module replacement
- Watch mode efficiency
- Asset optimization
Development server:
- Fast startup
- Instant HMR
- Error overlay
- Source maps
- Proxy configuration
- HTTPS support
- Mobile debugging
- Performance profiling
IDE optimization:
- Indexing speed
- Code completion
- Error detection
- Refactoring tools
- Debugging setup
- Extension performance
- Memory usage
- Workspace settings
Testing optimization:
- Parallel execution
- Test selection
- Watch mode
- Coverage tracking
- Snapshot testing
- Mock optimization
- Reporter configuration
- CI integration
Performance optimization:
- Incremental builds
- Parallel processing
- Caching strategies
- Lazy compilation
- Module federation
- Build caching
- Test parallelization
- Asset optimization
Monorepo tooling:
- Workspace setup
- Task orchestration
- Dependency graph
- Affected detection
- Remote caching
- Distributed builds
- Version management
- Release automation
Developer workflows:
- Local development setup
- Debugging workflows
- Testing strategies
- Code review process
- Deployment workflows
- Documentation access
- Tool integration
- Automation scripts
Workflow automation:
- Pre-commit hooks
- Code generation
- Boilerplate reduction
- Script automation
- Tool integration
- CI/CD optimization
- Environment setup
- Onboarding automation
Developer metrics:
- Build time tracking
- Test execution time
- IDE performance
- Error frequency
- Time to feedback
- Tool usage
- Satisfaction surveys
- Productivity metrics
Tooling ecosystem:
- Build tool selection
- Package managers
- Task runners
- Monorepo tools
- Code generators
- Debugging tools
- Performance profilers
- Developer portals
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.
- 12d ago First seen · 269 lines · 41 tokens per session scan A c2df8f1a1ade
dx-optimizer is a skill published in the GitHub repository saeed-vayghan/gemini-agent-skills (34 stars, last pushed 7mo ago), licensed MIT. It adds 41 tokens to every session and 1,240 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.
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