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SKILL verified MIT Self-run

Skill Llm Openai

skill-joeylu-runtime-free-llm-integration-skills-skill-llm-openai · by joeylu

Runtime contract for direct OpenAI API integration. Use it to resolve exact OpenAI model IDs, Responses or Chat Completions URLs, request fields, reasoning, tools, structured output, image input, Image API calls, streaming, response mapping, pricing references, and logging. Model choice remains with the user or host project.

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Install

$ agentstack add skill-joeylu-runtime-free-llm-integration-skills-skill-llm-openai

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

Security review passed
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2mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

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About

Skill LLM OpenAI

Purpose

Define how an agent integrates a model already named by the user or host project. This skill does not recommend, approve, rank, or automatically replace models during ordinary implementation.

Read Order

Read shared contracts first:

  1. ../_shared/route-key-schema.md
  2. ../_shared/model-catalog-schema.md
  3. ../_shared/pricing-matrix-schema.md
  4. ../_shared/capability-matrix-schema.md
  5. ../_shared/connection-profile-schema.md
  6. ../_shared/request-url-matrix-schema.md
  7. ../_shared/request-envelope.md
  8. ../_shared/response-envelope.md
  9. ../_shared/error-contract.md
  10. ../_shared/progress-contract.md
  11. ../_shared/ui-binding.md
  12. ../_shared/sync-policy.md
  13. ../_shared/logging-fields.md

Then read:

  1. references/connection-profiles.md
  2. references/request-urls.md
  3. references/model-catalog.md
  4. references/pricing-matrix.md
  5. references/capability-matrix.md
  6. the transport for the requested kind
  7. references/logging-contract.md when logging is implemented
  8. references/model-sync.md only for an explicit update or verification task

Read references/hosted-tools.md when provider-hosted tools are requested.

Runtime Rules

  • Send the exact documented model ID. This skill currently maintains rules for gpt-5.6-sol, gpt-5.6-terra, gpt-5.6-luna, and gpt-image-2.
  • Do not replace a requested model with another model or moving alias.
  • Resolve connection profile, request kind, API surface, API version, endpoint kind, full route key, base URL, and request URL before capability lookup.
  • Match capabilities by the exact full RouteKey row, including API version and endpoint kind.
  • Prefer no surface implicitly: use the surface required by the project. Responses and Chat Completions have different payloads and continuation rules.
  • Use gpt-image-2 through the direct Image API rows. Responses hosted image generation is a separate tool flow whose main model is a GPT model.
  • Reject requested fields marked unsupported or unknown; do not silently drop or translate them to another surface.
  • Keep caller-defined functions in Tools and provider-hosted tools in HostedTools.
  • Preserve response item IDs, call IDs, required linkage, encrypted reasoning items, and assistant phase when continuing a documented stateful flow.
  • Never expose raw chain-of-thought. Map visible summaries to ReasoningSummary and opaque state to ReasoningItems or provider metadata.
  • Store API-key references only. Never write secrets, authorization headers, MCP credentials, or signed URLs into these files or normal logs.
  • Use pricing-matrix.md for estimates, including context bands and cache charges.

Request Flow

  1. Read the requested provider, region, model, and request kind from the host project or user.
  2. Resolve the connection profile and exact request URL row.
  3. Resolve the exact catalog and capability rows.
  4. Validate every optional field before constructing the request.
  5. Apply the matching transport.
  6. Normalize the provider response, errors, progress, and logs through the shared contracts.

OpenAI Field Mapping

  • Responses reasoning.effort and Chat Completions reasoning_effort use the values recorded in the capability matrix.
  • TextVerbosity maps to Responses text.verbosity or Chat Completions verbosity only where verified.
  • Responses reasoning.mode, reasoning.context, and previous_response_id are Responses-only fields.
  • Responses structured output maps through text.format; Chat Completions maps through response_format.
  • CacheKey maps to prompt_cache_key where verified; explicit cache controls require the documented Responses mapping.

Out of Scope

  • ChatGPT consumer configuration
  • Apps SDK or Agents SDK orchestration
  • Realtime/audio integration
  • fine-tuning
  • model ranking or model permission policy
  • non-OpenAI providers

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.