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 agentmods add rules/dxheroes/mcp-devtools/typescript-stylegit clone --depth 1 https://github.com/DXHeroes/mcp-devtoolsWhat 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 | $0.00410 | $0.00410 |
| Opus 5 | $0.00205 | $0.00205 |
| Sonnet 5 | $0.00082 | $0.00082 |
| Haiku 4.5 | $0.00041 | $0.00041 |
Grade A, and why
typescript-style 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 yesterday.
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
TypeScript Coding Standards
Follow these standards when writing TypeScript code for MCP DevTools:
@file packages/jira/src/tools/getTicket.ts @file tsconfig.json @file .cursor/rules/testing-standards.mdc
Naming Conventions
- Files: Use
camelCasefor filenames - Interfaces: Use
PascalCaseprefixed withI(e.g.,IToolParams) - Types: Use
PascalCase(e.g.,ToolResponse) - Functions: Use
camelCase(e.g.,executeQuery) - Constants: Use
UPPER_SNAKE_CASEfor truly constant values - Variables: Use
camelCase - Private/Protected Members: Prefix with underscore (e.g.,
_privateMethod)
Code Organization
- One class/interface per file when possible
- Group related functions in logical files
- Export public API from index.ts files
- Keep files under 300 lines when possible
TypeScript Best Practices
- Use explicit typing over
any - Prefer interfaces for object shapes
- Use type guards for runtime type checking
- Utilize generics for reusable components
- Use readonly for immutable properties
- Always specify return types for functions
- Use null coalescing and optional chaining
Error Handling
- Use typed error classes
- Handle async errors with try/catch
- Provide meaningful error messages
- Return structured error responses
Comments
- Use JSDoc for public APIs
- Comment complex algorithms
- Explain "why" not "what"
- Keep comments up to date with code changes
Imports/Exports
- Use named exports for multiple items
- Use default export for primary component of a file
- Group imports by external/internal/types
- Avoid circular dependencies
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.
- yesterday First seen · 62 lines · 410 tokens per session scan A a9ac32236c6f
typescript-style is a cursor rule published in the GitHub repository DXHeroes/mcp-devtools (13 stars, last pushed 1y ago), licensed MIT. It adds 410 tokens to every session, about $0.0020 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 cursor rules, from other repositories
cursorrules
You are building an AI/ML project with Python. The project uses PyTorch for model training, handles data pipelines with proper validation, tracks experiments systematically, and follows production ML engineering practices. Code is type-hinted, tested, and reproducible.
rule
AI/ML Python development (PyTorch, scikit-learn).
language-agnostic-patterns
Language-agnostic programming patterns: SOLID, design patterns, clean code, and architecture. Load when refactoring, designing abstractions, or reviewing structure — not for everyday syntax.
cursor-tools-mastery
Cursor 3.7 runtime guide: choose the right tool, canvases, Design Mode, /worktree, /best-of-n, Await, and parallel execution where safe.
cursor-agent-orchestration
Cursor 3.7 orchestration guide: when to plan, when to delegate, nested subagents, multi-environment handoffs, /best-of-n, and Await for long-running branches.
fable5-reasoning
Fable 5 reasoning protocols: task interpretation, risk-first decomposition, approach selection, interleaved thinking, hypothesis ledgers, premortems, calibration, and the stuck-strategy ladder. Load for complex, ambiguous, or long-horizon tasks, for debugging strategy, or whenever progress stalls.