
API Contract Guardian for AI Coding Agents
by Shandra AI
Protects API endpoints from accidental breaking changes by generating contract maps, validation rules, integration tests, documentation, and safe AI coding prompts.
- Audit existing endpoints for potential breaking-change risks before refactoring.
- Generate contract-preserving prompts for Cursor and Claude Code.
- Create regression test plans for REST and GraphQL API contracts.
Secure checkout via Stripe
Included in download
- Audit existing endpoints for potential breaking-change risks before refactoring.
- Generate contract-preserving prompts for Cursor and Claude Code.
- browser, terminal, file_write automation included
- Ready for Compatible with ChatGPT Custom GPTs
Sample Output
A real example of what this skill produces.
=== API CONTRACT GUARDIAN PLAN ===
Original request: Create a safe API contract plan and Cursor prompt for modifying GET /api/dashboard/metrics.
Interpreted API goal: Add a new dashboard metric to an existing endpoint while preserving the current API contract and frontend dashboard behavior.
API type: REST API
Scope: Single existing endpoint
Known endpoint details: GET /api/dashboard/metrics
Assumptions:
- The frontend dashboard consumes this endpoint.
- The endpoint requires authentication.
- The current response includes existing dashboard metrics that must remain stable.
- The endpoint may have existing tests or frontend API client types.
Missing context:
- Current response shape
- New metric name and type
- Authentication/authorization details
- Existing frontend consumer files
- Existing tests
- Error response format
- Whether generated API types exist
Consumer map: Known consumer:
- frontend dashboard
Consumers to search for:
- dashboard components
- API client functions
- generated types
- hooks or data-fetching utilities
- tests
- documentation examples
- analytics or reporting modules
Current contract map: To be confirmed by inspection:
- method: GET
- path: /api/dashboard/metrics
- authentication: likely required
- query parameters: unknown
- success response: existing metrics object
- error format: unknown
- status codes: likely 200, 401, 403, 500
- caching behavior: unknown
- frontend expectations: existing metric fields and loading/error behavior
Breaking-change risk review:
-
Removing or renaming existing metric fields — High Mitigation: preserve all existing fields and add the new metric as an additional optional field if possible.
-
Changing metric types — High Mitigation: keep numeric, string, date, and currency formats unchanged.
-
Changing status codes — Medium to high Mitigation: preserve existing status semantics.
-
Changing error response shape — Medium Mitigation: preserve current error contract and frontend error handling.
-
Changing authentication behavior — High Mitigation: do not modify auth middleware unless explicitly required.
-
Returning sensitive business data — Medium Mitigation: confirm the new metric is safe for the authenticated user role.
Contract preservation rules:
- Do not remove existing response fields.
- Do not rename existing response fields.
- Do not change existing field types.
- Do not change current status codes unless a documented bug requires it.
- Do not change error response shape.
- Do not change authentication or authorization behavior.
- Add the new metric in a backward-compatible way.
- Update frontend types only to include the new field, not to invalidate old fields.
- Add or update contract tests.
Request validation plan: If the endpoint has query parameters, preserve existing validation. Do not add required query parameters for the new metric unless versioning or migration is planned.
Response schema plan: Add the new metric as a clearly named field in the existing metrics response. Define:
- field name
- field type
- nullable behavior
- unit of measurement
- date range behavior if relevant
- default value for empty data
- whether it should be visible to all authenticated roles
Error contract plan: Preserve existing error format. Confirm behavior for:
- unauthenticated request
- unauthorized role
- invalid query parameter if applicable
- server/database failure
- empty metric data
Contract test plan:
- Existing response fields remain present.
- Existing response field types remain unchanged.
- New metric appears with documented type.
- Empty data returns a safe default or documented null behavior.
- Unauthenticated request returns existing auth error format.
- Unauthorized role returns existing permission error format if applicable.
- Frontend dashboard still renders with old and new metric data.
- Error state still renders correctly.
- No sensitive fields are included.
Documentation plan: Update endpoint documentation with:
- new metric field
- field type
- meaning
- example response
- empty-state behavior
- auth requirements
- error examples if currently documented
Versioning or migration plan: No new version is needed if the change only adds a backward-compatible optional field. If the new metric requires changing existing fields, create a versioned response or temporary compatibility layer.
AI coding agent prompt: Modify GET /api/dashboard/metrics safely to add one new dashboard metric without breaking existing frontend consumers.
Before editing:
- Inspect the endpoint implementation.
- Search for all consumers of /api/dashboard/metrics, including dashboard components, API client functions, hooks, generated types, tests, and documentation.
- Map the current response shape, status codes, error format, authentication behavior, and authorization behavior.
- Identify the existing dashboard rendering assumptions.
- Add or update contract tests before changing behavior when possible.
Requirements:
- Preserve all existing response fields.
- Preserve existing field names and types.
- Preserve existing status code behavior.
- Preserve existing error response shape.
- Preserve authentication and authorization behavior.
- Add the new metric in a backward-compatible way.
- Do not expose sensitive data.
- Update frontend types or API client definitions only as needed.
- Update documentation with the new metric.
Out of scope:
- renaming existing fields
- removing existing fields
- changing database schema unless explicitly required and reviewed
- changing authentication logic
- changing dashboard layout broadly
- broad endpoint refactor
- unrelated API cleanup
Testing:
- Add or update contract tests for the endpoint response shape.
- Verify existing dashboard tests still pass.
- Add a test confirming the new metric appears.
- Add tests or manual checks for empty data, unauthorized access, and error responses.
- Run relevant tests if available.
Return:
- current contract summary
- consumers found
- breaking-change risks identified
- files changed
- tests added or run
- documentation updated
- verification steps
- remaining risks
Verification checklist:
- Existing dashboard still renders.
- Existing metric fields are unchanged.
- New metric appears correctly.
- Auth behavior is unchanged.
- Error behavior is unchanged.
- Contract tests pass.
- No sensitive data is exposed.
- Documentation includes the new metric.
Risks and safety notes: Because the frontend already depends on this endpoint, response shape changes must be treated as high-risk. The safest path is to add the new metric as a backward-compatible field and protect the endpoint with contract tests.
Protects API endpoints from accidental breaking changes by generating contract maps, validation rules, integration tests, documentation, and safe AI coding prompts.
Secure checkout via Stripe
Included in download
- Audit existing endpoints for potential breaking-change risks before refactoring.
- Generate contract-preserving prompts for Cursor and Claude Code.
- browser, terminal, file_write automation included
- Ready for Compatible with ChatGPT Custom GPTs
- Instant install
Sample Output
A real example of what this skill produces.
=== API CONTRACT GUARDIAN PLAN ===
Original request: Create a safe API contract plan and Cursor prompt for modifying GET /api/dashboard/metrics.
Interpreted API goal: Add a new dashboard metric to an existing endpoint while preserving the current API contract and frontend dashboard behavior.
API type: REST API
Scope: Single existing endpoint
Known endpoint details: GET /api/dashboard/metrics
Assumptions:
- The frontend dashboard consumes this endpoint.
- The endpoint requires authentication.
- The current response includes existing dashboard metrics that must remain stable.
- The endpoint may have existing tests or frontend API client types.
Missing context:
- Current response shape
- New metric name and type
- Authentication/authorization details
- Existing frontend consumer files
- Existing tests
- Error response format
- Whether generated API types exist
Consumer map: Known consumer:
- frontend dashboard
Consumers to search for:
- dashboard components
- API client functions
- generated types
- hooks or data-fetching utilities
- tests
- documentation examples
- analytics or reporting modules
Current contract map: To be confirmed by inspection:
- method: GET
- path: /api/dashboard/metrics
- authentication: likely required
- query parameters: unknown
- success response: existing metrics object
- error format: unknown
- status codes: likely 200, 401, 403, 500
- caching behavior: unknown
- frontend expectations: existing metric fields and loading/error behavior
Breaking-change risk review:
-
Removing or renaming existing metric fields — High Mitigation: preserve all existing fields and add the new metric as an additional optional field if possible.
-
Changing metric types — High Mitigation: keep numeric, string, date, and currency formats unchanged.
-
Changing status codes — Medium to high Mitigation: preserve existing status semantics.
-
Changing error response shape — Medium Mitigation: preserve current error contract and frontend error handling.
-
Changing authentication behavior — High Mitigation: do not modify auth middleware unless explicitly required.
-
Returning sensitive business data — Medium Mitigation: confirm the new metric is safe for the authenticated user role.
Contract preservation rules:
- Do not remove existing response fields.
- Do not rename existing response fields.
- Do not change existing field types.
- Do not change current status codes unless a documented bug requires it.
- Do not change error response shape.
- Do not change authentication or authorization behavior.
- Add the new metric in a backward-compatible way.
- Update frontend types only to include the new field, not to invalidate old fields.
- Add or update contract tests.
Request validation plan: If the endpoint has query parameters, preserve existing validation. Do not add required query parameters for the new metric unless versioning or migration is planned.
Response schema plan: Add the new metric as a clearly named field in the existing metrics response. Define:
- field name
- field type
- nullable behavior
- unit of measurement
- date range behavior if relevant
- default value for empty data
- whether it should be visible to all authenticated roles
Error contract plan: Preserve existing error format. Confirm behavior for:
- unauthenticated request
- unauthorized role
- invalid query parameter if applicable
- server/database failure
- empty metric data
Contract test plan:
- Existing response fields remain present.
- Existing response field types remain unchanged.
- New metric appears with documented type.
- Empty data returns a safe default or documented null behavior.
- Unauthenticated request returns existing auth error format.
- Unauthorized role returns existing permission error format if applicable.
- Frontend dashboard still renders with old and new metric data.
- Error state still renders correctly.
- No sensitive fields are included.
Documentation plan: Update endpoint documentation with:
- new metric field
- field type
- meaning
- example response
- empty-state behavior
- auth requirements
- error examples if currently documented
Versioning or migration plan: No new version is needed if the change only adds a backward-compatible optional field. If the new metric requires changing existing fields, create a versioned response or temporary compatibility layer.
AI coding agent prompt: Modify GET /api/dashboard/metrics safely to add one new dashboard metric without breaking existing frontend consumers.
Before editing:
- Inspect the endpoint implementation.
- Search for all consumers of /api/dashboard/metrics, including dashboard components, API client functions, hooks, generated types, tests, and documentation.
- Map the current response shape, status codes, error format, authentication behavior, and authorization behavior.
- Identify the existing dashboard rendering assumptions.
- Add or update contract tests before changing behavior when possible.
Requirements:
- Preserve all existing response fields.
- Preserve existing field names and types.
- Preserve existing status code behavior.
- Preserve existing error response shape.
- Preserve authentication and authorization behavior.
- Add the new metric in a backward-compatible way.
- Do not expose sensitive data.
- Update frontend types or API client definitions only as needed.
- Update documentation with the new metric.
Out of scope:
- renaming existing fields
- removing existing fields
- changing database schema unless explicitly required and reviewed
- changing authentication logic
- changing dashboard layout broadly
- broad endpoint refactor
- unrelated API cleanup
Testing:
- Add or update contract tests for the endpoint response shape.
- Verify existing dashboard tests still pass.
- Add a test confirming the new metric appears.
- Add tests or manual checks for empty data, unauthorized access, and error responses.
- Run relevant tests if available.
Return:
- current contract summary
- consumers found
- breaking-change risks identified
- files changed
- tests added or run
- documentation updated
- verification steps
- remaining risks
Verification checklist:
- Existing dashboard still renders.
- Existing metric fields are unchanged.
- New metric appears correctly.
- Auth behavior is unchanged.
- Error behavior is unchanged.
- Contract tests pass.
- No sensitive data is exposed.
- Documentation includes the new metric.
Risks and safety notes: Because the frontend already depends on this endpoint, response shape changes must be treated as high-risk. The safest path is to add the new metric as a backward-compatible field and protect the endpoint with contract tests.
About This Skill
API Contract Guardian helps AI coding agents, developers, QA teams, backend engineers, frontend engineers, integration teams, SaaS builders, and API maintainers protect API behavior before creating, modifying, documenting, or testing endpoints. It turns vague API requests into structured contract maps, consumer dependency reviews, breaking-change risk audits, request validation plans, response schema plans, error format standards, contract test strategies, OpenAPI-style documentation outlines, webhook verification plans, versioning plans, migration notes, and paste-ready prompts for Cursor, Claude Code, Codex CLI, OpenCode, Replit, and ChatGPT Agents. The skill is ideal for preventing frontend-backend drift, protecting mobile and SDK consumers, documenting undocumented endpoints, testing REST APIs, reviewing GraphQL changes, and safely modifying production API behavior.
📖 Learn more: Best Frontend & Design Skills for Claude Code →
Use Cases
- Audit existing endpoints for potential breaking-change risks before refactoring.
- Generate contract-preserving prompts for Cursor and Claude Code.
- Create regression test plans for REST and GraphQL API contracts.
- Standardize error response shapes across multiple microservices.
- Draft migration plans for versioned API deprecations.
- Plan API versioning and deprecation workflows
- Verify webhook payload and retry contracts
Known Limitations
This skill creates API contract plans, endpoint audits, breaking-change reviews, documentation outlines, testing strategies, and AI coding prompts, but it does not guarantee that an API will be fully backward-compatible, secure, scalable, compliant, or production-ready. Public APIs, payment APIs, authentication flows, authorization rules, personal data endpoints, webhooks, mobile clients, SDK consumers, and production integrations may require repository access, staging environments, contract tests, monitoring, versioning policies, rollback plans, and review by experienced developers or security specialists.
How to Install
mkdir -p ~/.claude/skills && curl -sL https://www.agensi.io/api/install/api-contract-guardian-for-ai-coding-agents | tar xz -C ~/.claude/skills/Free skills install directly. Paid skills require purchase - use the download button above after buying.
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Permissions
File Scopes
This skill uses file access to read user-provided endpoint notes, API documentation, OpenAPI or Swagger files, route definitions, schema examples, API clients, tests, webhook payloads, README files, and integration notes. It uses write access to create structured Markdown/text outputs such as API contract maps, breaking-change reviews, request validation plans, response schema plans, error contract plans, contract test plans, OpenAPI-style documentation outlines, webhook verification plans, migration notes, AI coding agent prompts, QA checklists, and SKILL.md files. Terminal access is optional and should only be enabled when the agent is expected to run tests, search a repository for API consumers, or validate endpoints locally. Browser or network access is only needed for external documentation or API reference research. Environment variable access is not normally required, and secret values should never be exposed.
Tags
Compatible with ChatGPT Custom GPTs, ChatGPT Agents, Cursor, Claude Code, Codex CLI, OpenCode, Replit, GitHub Copilot-style workflows, and other AI coding assistants that support structured Markdown instruction files such as SKILL.md. It can also be used manually in any AI chat by pasting the instructions.
Creator
Shandra is an AI prompt creator and agent skill builder specializing in practical, ready-to-use AI workflows for creators, entrepreneurs, educators, and digital product sellers. Her store focuses on high-quality agent skills designed to help users save time, structure ideas, generate content, build business assets, and turn creative concepts into actionable results. Each skill is crafted with clear instructions, professional formatting, practical use cases, and a strong focus on real-world productivity.
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