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openai-api-troubleshooting

Use when an OpenAI API request fails and Codex needs to classify the likely cause, explain the next step, and route to the right follow-up. Covers common runtime failures such as blocked outbound network access, invalid credentials, exhausted API quota or credits, rate limits, and model, project, or organization access issues; delegate key provisioning to openai-platform-api-key and current documentation lookups to openai-docs.

72

Quality

91%

Does it follow best practices?

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Medium

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SKILL.md
Quality
Evals
Security

Quality

Content

86%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

A well-structured, highly actionable routing skill with concrete error-code triggers, explicit escalation behavior, and a clean one-level reference to evals.md. The main improvements are tightening the repeated transport-failure conditions and handling the time-sensitive starter-model mention so it does not drift.

Suggestions

Consolidate section 1's duplicated detection phrasing ('before any OpenAI API response exists' appears in both bullets) and drop rule 2, which restates the same distinction already enforced by the routing order.

Move the 'gpt-5.4-mini' starter-model mention out of the routing branch or into a clearly marked versioned note, so specific model names that drift over time do not sit in the core instructions.

DimensionReasoningScore

Conciseness

The body is lean and assumes Claude's competence, but section 1 states its detection conditions twice ('before any OpenAI API response exists' in both bullets), rule 2 restates section 1, and the pinned starter model 'gpt-5.4-mini' is time-sensitive detail not placed in a deprecated/old-patterns section — minor trim opportunities that keep it below the every-token-earns-its-place anchor.

4 / 5

Actionability

Guidance is fully executable for an instruction-only skill: exact error codes (invalid_api_key, insufficient_quota, rate_limit_exceeded, 401/403/429), a concrete escalation command ('sandbox_permissions=require_escalated'), exact billing/limits URLs, and named hand-off targets cover the common cases.

5 / 5

Workflow Clarity

The routing is a clearly ordered decision tree (transport first, then API-side branches) with useful checkpoints (retry with escalation, 'continue with the routing below using that concrete response', ambiguity routed to openai-docs), but it stops short of the 5 anchor's explicit validation/feedback loop confirming the classification before advising the user.

4 / 5

Progressive Disclosure

Under 50 lines with well-organized Routing/Rules/References sections and a clearly signaled, one-level-deep reference to the real file references/evals.md; matches the simple-skill ideal of a clean overview with an external detail file.

5 / 5

Total

18

/

20

Passed

Description

92%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

A strong description with explicit what/when structure, concrete actions, and explicit delegation to sibling skills to avoid conflicts. Its only gap is missing the literal error-code terms (401, 429, insufficient_quota) that users commonly paste when they need this skill.

DimensionReasoningScore

Specificity

The description lists three concrete actions ('classify the likely cause, explain the next step, and route to the right follow-up') plus a comprehensive enumerated list of failure classes (network, credentials, quota/credits, rate limits, model/project/org access), matching the comprehensive-coverage anchor.

5 / 5

Completeness

It explicitly answers when ('Use when an OpenAI API request fails...') and what (classify the likely cause, explain the next step, route to the right follow-up), with concrete trigger phrasing and coverage of the failure modes.

5 / 5

Trigger Term Quality

Natural phrases like 'OpenAI API request fails', 'invalid credentials', 'quota or credits', and 'rate limits' give good keyword coverage, but common variations users actually paste (error codes such as 401/429 or strings like insufficient_quota, 'run out of credits') are absent, so it falls just short of the comprehensive-synonyms anchor.

4 / 5

Distinctiveness Conflict Risk

It occupies a clear niche (runtime OpenAI API failures after a request is made) and explicitly delegates adjacent skills by name ('delegate key provisioning to openai-platform-api-key and current documentation lookups to openai-docs'), minimizing overlap risk.

5 / 5

Total

19

/

20

Passed

Validation

100%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository

openai/plugins

Path

plugins/openai-developers/skills/openai-api-troubleshooting/SKILL.md

Reviewed

Table of Contents

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