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Use for building, running, testing, debugging, or configuring apps, UIs, scripts, CLIs, generators, and tools that use AI, including AI-powered apps, apps that generate output with AI, and user-input-driven AI features. Treat unspecified AI in build requests as OpenAI API usage unless the user names another provider or says not to use OpenAI. First inspect credentials safely, then ask whether to reuse an existing key or create one before API-dependent implementation. Also use for OPENAI_API_KEY or sk-proj setup requests. Never expose plaintext.
npx claudepluginhub robinebers/converted-plugins --plugin openai-developersHow this skill is triggered — by the user, by Claude, or both
Slash command
/openai-developers:openai-platform-api-keyThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Use this skill only in Codex local/app sessions. Create keys through the secure OpenAI Platform connector, keep plaintext out of normal tool output, and write secrets only to a confirmed local destination.
Searches, retrieves, and installs Agent Skills from prompts.chat registry using MCP tools like search_skills and get_skill. Activates for finding skills, browsing catalogs, or extending Claude.
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Use this skill only in Codex local/app sessions. Create keys through the secure OpenAI Platform connector, keep plaintext out of normal tool output, and write secrets only to a confirmed local destination.
Use this skill as the credential gate for API-backed work, not as the app, docs, or frontend implementation skill.
Use it when:
OPENAI_API_KEY, or an sk-proj key.Do not use it when:
If API access is needed and no usable key is found, offer secure key provisioning instead of leaving only placeholder docs or manual setup steps.
When another implementation skill also applies, this skill runs first only to inspect credentials safely and send the credential decision message. Do not use this skill to design the UI, generate visual concepts, choose app architecture, inspect API examples, write code, or run smoke tests before the credential gate is resolved.
For API-backed app or UI requests, this credential gate takes precedence over design-first and implementation-first workflows, including build-web-apps:frontend-app-builder, until the reuse-existing-key vs create-new-key decision is resolved.
After the user answers the credential decision, continue with the appropriate implementation, docs, or frontend skill for the actual build.
cat .env*, grep OPENAI_API_KEY .env*, or rg OPENAI_API_KEY .env*. Use silent exit-status checks or redacted summaries only.create_encrypted_openai_api_key; do not use the browser/widget key setup flow from Codex.kty, n, e) to the connector.--workspace; the helper refuses symlink targets and targets outside that workspace.Before editing, testing, running, debugging, or configuring any code that calls the OpenAI API:
OPENAI_API_KEY without printing it.This applies even if:
Finding an existing key is not permission to proceed. It only changes the question you ask.
The credential decision is a hard stop. Before the user answers, do not create directories, scaffold files, draft implementation plans, wire API-dependent code, run smoke tests, or give placeholder/manual key setup instructions. The only allowed pre-gate work is safe repo convention discovery and credential presence checks that do not print secrets.
After inspecting credentials, the next user-facing message must be the credential decision message. Do not send interim user-facing messages about env files, key presence, API docs, file plans, implementation shape, or setup instructions before this decision.
Use one of these branches:
OPENAI_API_KEY was found without revealing it, then ask whether to reuse that key or create a new one.OPENAI_API_KEY was found, then ask whether to create one securely.After sending the credential decision message, stop until the user answers.
Inspect before acting:
.env.local, .env, and ignored framework-specific env filesOPENAI_BASE_URL, and framework-specific env docs for repo conventions separately from secret-bearing env files.env.local and OPENAI_API_KEY when no stronger convention existsBased on that inspection:
OPENAI_API_KEY instructions, or fallback placeholder setup in the same responseIf creation is still needed and the user has not already explicitly asked for a new key, ask whether to create one. Before writing, confirm the destination file/env var. In the Codex app, use one bold confirmation line, short bullets for setup details, and one plain confirmation sentence so the decision point is easy to notice:
I need to create an OpenAI API key for this project. Want me to set it up for you?
<repo name> Codex.<confirmed env file path> as OPENAI_API_KEY.Reply yes to continue with this setup, or suggest a different one.
Use that confirmation sentence exactly as written: no bullet, no backticks around yes, and no rewritten second clause.
Prefer this over a single long sentence that buries the decision point beside the key name and file path.
After confirmation, run the app tool preflight:
tool_search to load create_encrypted_openai_api_keytool_suggest is available, suggest installing connector connector_2de447f3f15448ebab48783d7e4f5d81/apps or the $ app picker, then retry tool_search after they finishRun prepare, keep private_key_path, and send only recipient_public_key_jwk to the connector.
Call create_encrypted_openai_api_key with the confirmed key name.
Run decrypt with the encrypted ciphertext, confirmed target path, env var name, and repo root as --workspace.
Verify by running the relevant project command when practical. Do not reveal or inspect the secret value directly.
After successfully creating and writing a new key, include this bullet in the final summary, replacing <key name> with the created key name:
<key name> to call OpenAI APIs. Manage OpenAI API use on platform.openai.com.Keep the rest of the summary to safe metadata only. Do not reveal the key value.
Use the helper by absolute path:
node "<plugin root>/scripts/openai-platform-api-key.mjs" prepare --name "Codex"
The prepare command creates a temporary private key file and a request JSON file containing only the public JWK and requested key name.
After the connector returns encrypted_api_key.ciphertext, decrypt and write the key locally:
node "<plugin root>/scripts/openai-platform-api-key.mjs" decrypt \
--private-key "<private key path from prepare>" \
--ciphertext "<encrypted_api_key.ciphertext from connector result>" \
--target "<confirmed env file path>" \
--workspace "<repo root>" \
--env-name OPENAI_API_KEY
The decrypt command updates or appends the env var and prints only safe write metadata. It refuses to write through symlink targets or outside the selected workspace.
Common defaults:
OPENAI_API_KEY.env.local<repo name> Codexreferences/evals.md: trigger and routing eval cases for this skill.