llm-structured-output SKILL.md skillA
This file is byte-identical to the first copy the registry indexed. Same content hash, so the same checks give both the same grade.
llm-structured-output from hybridlabor-api/aos is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add hybridlabor-api/aos/llm-structured-output@git:20260827.a62304aPins git:20260827.a62304a in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- hybridlabor-api/aos
- Path
skills/global_config/llm-structured-output/SKILL.md- Versions recorded
- 3
- Latest version
- git:20260827.a62304a, committed Aug 27, 2026
- First version recorded
- Jul 27, 2026
- Size
- 15,577 bytes
- Repository stars
- 6
- License
- Apache-2.0
Get reliable JSON, enums, and typed objects from LLMs using response_format, tool_use, and schema-constrained decoding across OpenAI, Anthropic, and Google APIs.
Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.
What the file says
# LLM Structured Output ## What This Skill Does Extract typed, validated data from LLM API responses instead of parsing free-text. This skill covers the three main approaches: OpenAI's `response_format` with JSON Schema, Anthropic's `tool_use` block for structured extraction, and Google's `responseSchema` in Gemini. You will learn when each approach works, when it breaks, and how to build retry logic around schema validation failures that every production system encounters. ## When to Use This Skill - The user needs to extract structured data (JSON objects, arrays, enums) from an LLM response - The user is building a pipeline where LLM output feeds directly into code (database writes, API calls, UI rendering) - The user asks about `response_format`, `json_mode`, `json_object`, or `json_schema` in OpenAI - The user asks about using Anthropic's `tool_use` or `tool_result` blocks for data extraction (not for actual tool execution) - The user asks about Zod schemas with `zodResponseFormat()` from the `openai` npm package - The user needs to parse LLM output into Pydantic models using `instructor`, `marvin`, or manual validation …
Read the whole file at its exact version.
How to install
mdr add hybridlabor-api/aos/llm-structured-output@sha256:d34cbf9c83e99b34The line at the top of this page pins the label git:20260827.a62304a, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.
[](https://markdownregistry.com/a/art_emyv2mjhewl327gt)
6 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 3 versions of this file, between Jul 27, 2026 and Aug 27, 2026, about one every 15 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260827.a62304a latest | 2026-08-27 | a62304a | 15,577 B | A | view · diff |
| git:20260827.e9312a3 | 2026-08-27 | e9312a3 | 15,577 B | B | view · diff |
| git:20260727.48beb34 | 2026-07-27 | 48beb34 | 15,559 B | A | view |
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (15577 bytes)
- pass: No zero-width or bidi control characters
- pass: No instruction hidden inside an HTML comment
- pass: No link to an exfiltration or paste host
- pass: No credential-shaped string
- pass: No instruction to send local credentials anywhere
- pass: No text hidden with inline styles
- pass: No prompt-injection phrasing
- pass: No curl or wget piped into a shell
- pass: No recursive delete of root, home or parent
- pass: No instruction to read or print local credentials
- pass: No base64 blob over 200 characters
- pass: No link to a raw IP address
- pass: No script tag
Source
hybridlabor-api/aos · 6 stars · license Apache-2.0 · pushed 2026-11-05 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_emyv2mjhewl327gt GET https://markdownregistry.com/api/v1/resolve?ref=hybridlabor-api/aos/llm-structured-output GET https://markdownregistry.com/api/v1/blob/d34cbf9c83e99b34e9702cc8f4f5d32bd392e1d1b27cd74150d395fba263cb63
Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.
Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.
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