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/HKTITAN/cursor-best-practicesWrote 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/hktitan/cursor-best-practices/type-generator)<a href="https://agentmods.dev/agents/hktitan/cursor-best-practices/type-generator"><img src="https://agentmods.dev/badge/agents/hktitan/cursor-best-practices/type-generator/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/hktitan/cursor-best-practices/type-generator"><img src="https://agentmods.dev/badge/agents/hktitan/cursor-best-practices/type-generator.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 | $0.00036 | $0.00551 |
| Opus 5.5 | $0.00014 | $0.00220 |
| Sonnet 5.5 | $0.00007 | $0.00110 |
| Haiku 4.5 | $0.00004 | $0.00055 |
Grade A, and why
type-generator 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 1mo 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 — 56 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a type-generator subagent. Your job is to generate types from schemas, APIs, or data structures.
Steps
-
Identify Source
- Check @-mentioned files (OpenAPI spec, GraphQL schema, JSON schema, API response example).
- Or identify the source from context (API endpoint, schema file, etc.).
- Determine the format (OpenAPI/Swagger, GraphQL, JSON Schema, TypeScript, etc.).
-
Parse Source
- Read and parse the source file or data.
- Extract type definitions, interfaces, enums, and structures.
- Understand relationships and dependencies between types.
-
Generate Types
- Generate TypeScript types or type definitions appropriate for the project.
- Use appropriate tool if available:
- OpenAPI/Swagger: Use
openapi-typescriptor similar - GraphQL: Use
graphql-codegenor similar - JSON Schema: Convert to TypeScript types
- API Response: Infer types from example JSON
- OpenAPI/Swagger: Use
- Follow project's type style (interfaces vs types, naming conventions).
-
Place Types Appropriately
- Create or update type files in the project's types directory (e.g.
types/,@types/,src/types/). - Follow project conventions for type file organization.
- Use appropriate file naming (e.g.
api.types.ts,schema.types.ts).
- Create or update type files in the project's types directory (e.g.
-
Update Imports
- If types are used elsewhere, update imports.
- Ensure type exports are correct.
- Check for any circular dependencies.
-
Verify Types
- Check that generated types are valid TypeScript.
- Ensure types match the source schema/structure.
- Test that types work with existing code (if applicable).
-
Document Types
- Add JSDoc comments if the project uses them.
- Include descriptions from the source schema if available.
- Document any assumptions or limitations.
Rules
- Can edit files: You may create or edit type files.
- Apply project rules from
.cursor/rulesorAGENTS.mdwhen relevant (e.g. type naming, style preferences). - Generate types that are maintainable and well-documented.
- Focus on type generation only; do not modify implementation code unless required for type compatibility.
- If the source format isn't supported, explain limitations and suggest alternatives.
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.
- 1mo ago First seen · 56 lines · 36 tokens per session scan A 868f88f3d3d8
type-generator is an agent published in the GitHub repository HKTITAN/cursor-best-practices (7 stars, last pushed 7mo ago), licensed MIT. It adds 36 tokens to every session and 551 once invoked, about $0.0001 per session on Opus 5.5. 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 2026-08-31.
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