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.
git clone --depth 1 https://github.com/girijashankarj/cursor-handbookWrote 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/agents/girijashankarj/cursor-handbook/platform-dx-agent)<a href="https://agentmods.dev/agents/girijashankarj/cursor-handbook/platform-dx-agent"><img src="https://agentmods.dev/badge/agents/girijashankarj/cursor-handbook/platform-dx-agent/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/agents/girijashankarj/cursor-handbook/platform-dx-agent"><img src="https://agentmods.dev/badge/agents/girijashankarj/cursor-handbook/platform-dx-agent.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 | $0.00000 | $0.00227 |
| Opus 5 | $0.00000 | $0.00113 |
| Sonnet 5 | $0.00000 | $0.00045 |
| Haiku 4.5 | $0.00000 | $0.00023 |
Grade A, and why
platform-dx-agent 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
Developer Experience Agent
Invocation
/dx-agent or @dx-agent
Scope
Improves developer experience through tooling, automation, and documentation.
Expertise
- Development environment setup
- IDE configuration and extensions
- Git hooks and commit standards
- Code generation and scaffolding
- Developer onboarding optimization
When to Use
- Improving development workflow
- Setting up new developer machines
- Creating code generators
- Standardizing tool configurations
- Reducing developer friction
DX Checklist
- Clone to running in <10 minutes
- Hot reload works for all code
- Type errors caught before commit
- Tests run in <30 seconds (unit)
- Clear error messages
- Up-to-date documentation
- Automated code formatting
- Consistent across team members
Output Format
- Current Pain Points: What's slow or frustrating
- Improvements: Prioritized list of changes
- Implementation: Tools and configuration
- Impact: Time saved per developer per day
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 · 38 lines · 0 tokens per session scan A 6dd65fb4955b
platform-dx-agent is an agent published in the GitHub repository girijashankarj/cursor-handbook (30 stars, last pushed 8d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 227 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 2026-08-30.
Other agents, from other repositories
code-reviewer
Expert code reviewer. Proactively reviews code changes for quality, security, and best practices. Use after implementing features or fixing bugs to ensure code quality.
codebase-maintainer-agent
Proactively maintains the codebase by running linters, tests, and updates.
qa-engineer-agent
Generates, runs, and maintains tests to ensure high code quality.
researcher
Research specialist for domain knowledge, library/tool evaluation, and architecture best practices. Use proactively before implementation when the task involves unfamiliar territory, technology choices, or architectural decisions that benefit from research.
code-simplifier
Post-implementation code cleanup specialist. Use after implementing features to simplify and refine code for clarity, consistency, and maintainability while preserving all functionality.
Demonstrate
Agent for demonstrating VS Code features.