> ## Documentation Index > Fetch the complete documentation index at: https://docs.decimal.ai/llms.txt > Use this file to discover all available pages before exploring further. # Submit AI feedback for public skills witnessed in your trace > Store externally reported AI feedback; no provider call or charge. Witnessed-source and observed-response checks establish attribution. They do not verify the caller's claimed model or independently reproduce its grade. ## OpenAPI ````yaml /openapi.json post /api/v1/traces/{trace_id}/skill-ratings openapi: 3.1.0 info: title: DecimalAI Platform description: Agent Dataset Lifecycle Platform — Backend API version: 0.1.0 servers: - url: https://api.decimal.ai description: Production security: - BearerAuth: [] tags: - name: traces description: >- Ingest, search, and inspect agent execution traces. A trace is the atomic unit of the platform — every other feature (evaluation, compatibility scoring, dataset building) operates on traces. Each trace is auto-tagged with the manifest hash of the agent that produced it. - name: eval-scores description: >- Push, fetch, and aggregate per-trace evaluation scores. Scores carry source provenance (built-in, DeepEval, LangSmith, custom) and feed the unified decision engine, which produces a keep / repair / replay / drop verdict per trace. - name: skills description: >- Manage reusable instruction blocks (SKILL.md files) that modify agent behavior. Skills are first-class manifest components — changes to a skill appear in your regression-check impact reports. Use these endpoints to create, version, fork, and sync skills with your local SKILL.md files. - name: manifests description: >- Register and inspect manifest versions. A manifest is a snapshot of your agent's structural identity (tools, prompts, models, skills) at a point in time. The SDK registers manifests automatically; these endpoints expose the underlying records. - name: datasets description: >- Build versioned SFT/DPO training datasets from manifest-classified, eval-scored traces. Datasets are reproducible — each version locks the manifest and filter set used to build it. Export as JSONL, Parquet, or push to HuggingFace Hub. - name: replay description: >- Re-execute historical traces against a new manifest version. Replay is the deferred-future capability for behavioral verification of agent changes. The SDK creates a replay batch, your worker executes each task, then submits results back here for eval scoring. - name: registry description: >- Browse and install published skills from the public skills registry. Each registry skill carries a SkillScore — an evidence-tiered quality composite computed from real-world evals, benchmarks, and ratings across organizations. Installing creates a fork in your org — edits don't affect the public version. - name: agents description: >- List and inspect agents, plus their multi-agent topology (orchestrator → sub-agent edges discovered from traces). Agents are identified by a stable agent_name string set in your SDK init() call. - name: import description: >- Bulk-import historical traces from another observability platform or a JSONL backup. Useful for migrating from LangSmith / Braintrust / Langfuse. Duplicate trace IDs are silently skipped — re-running an import is safe. paths: /api/v1/traces/{trace_id}/skill-ratings: post: tags: - traces summary: Submit AI feedback for public skills witnessed in your trace description: >- Store externally reported AI feedback; no provider call or charge. Witnessed-source and observed-response checks establish attribution. They do not verify the caller's claimed model or independently reproduce its grade. operationId: submit_skill_ratings_api_v1_traces__trace_id__skill_ratings_post parameters: - name: trace_id in: path required: true schema: type: string title: Trace Id - name: Authorization in: header required: false schema: type: string title: Authorization - name: decimal_session in: cookie required: false schema: anyOf: - type: string - type: 'null' title: Decimal Session requestBody: required: true content: application/json: schema: $ref: '#/components/schemas/PublicSkillRatingsRequest' responses: '200': description: Successful Response content: application/json: schema: type: object additionalProperties: true title: >- Response Submit Skill Ratings Api V1 Traces Trace Id Skill Ratings Post '422': description: Validation Error content: application/json: schema: $ref: '#/components/schemas/HTTPValidationError' components: schemas: PublicSkillRatingsRequest: properties: model: type: string maxLength: 64 minLength: 1 title: Model prompt_hash: type: string pattern: ^[a-fA-F0-9]{64}$ title: Prompt Hash ratings: items: $ref: '#/components/schemas/PublicSkillRating' type: array maxItems: 100 title: Ratings assessed_source_skill_ids: anyOf: - items: type: string format: uuid type: array maxItems: 100 minItems: 1 - type: 'null' title: Assessed Source Skill Ids additionalProperties: false type: object required: - model - prompt_hash title: PublicSkillRatingsRequest HTTPValidationError: properties: detail: items: $ref: '#/components/schemas/ValidationError' type: array title: Detail type: object title: HTTPValidationError PublicSkillRating: properties: source_skill_id: type: string format: uuid title: Source Skill Id rating: type: integer maximum: 10 minimum: 1 title: Rating additionalProperties: false type: object required: - source_skill_id - rating title: PublicSkillRating ValidationError: properties: loc: items: anyOf: - type: string - type: integer type: array title: Location msg: type: string title: Message type: type: string title: Error Type input: title: Input ctx: type: object title: Context type: object required: - loc - msg - type title: ValidationError securitySchemes: BearerAuth: type: http scheme: bearer description: Enter your API key (e.g. dai_sk_test_key_001) ```` This documentation is built and hosted on [Mintlify](https://mintlify.com), a developer documentation platform.