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codex

Run, configure, and troubleshoot OpenAI Codex CLI in non-interactive headless environments. Use for Codex automation in Bash or PowerShell, native Windows or WSL2, shell scripts, CI/CD, Docker, Kubernetes, remote servers, agent harnesses, or batch jobs; for constructing `codex exec` commands; selecting sandbox and approval modes; consuming JSONL events or structured output; resuming sessions; passing prompts through stdin; and handling failures caused by unavailable interactive input such as `request_user_input`.

80

Quality

100%

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SecuritybySnyk

Critical

Do not install without reviewing

SKILL.md
Quality
Evals
Security

Quality

Content

100%

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

The body is a dense, executable playbook: complete commands, explicit multi-step workflows with validation checkpoints, and well-signaled one-level references to real bundle files. It assumes Claude's competence and avoids concept explanation while remaining copy-paste ready.

DimensionReasoningScore

Conciseness

The body is lean and operational — numbered operating rules, complete command blocks, and decision guidance with no concept padding (it never explains what a CLI or sandbox is); repeated flag scaffolding earns its place by keeping each example copy-paste ready, so every token contributes.

3 / 3

Actionability

Every section provides fully executable `codex exec` invocations with real flags and concrete contexts (read-only, workspace-write, --yolo, --output-last-message, --json, --output-schema, resume, --ephemeral, auth), plus a ready-to-paste autonomous prompt policy — copy-paste ready throughout.

3 / 3

Workflow Clarity

Multi-step processes are explicitly sequenced with validation checkpoints: a 9-step 'Diagnose Failures' list, a 6-step 'Handle `request_user_input` Failures' process, and a 6-item 'Completion Standard' checklist that requires running validation and reviewing diffs before completion.

3 / 3

Progressive Disclosure

SKILL.md is a well-organized overview that defers detail to one-level-deep, clearly signaled references — 'See [references/windows.md]' and 'See [references/recipes.md]' — both of which exist as real bundle files, with no nested/deep reference chains.

3 / 3

Total

12

/

12

Passed

Description

100%

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

The description is specific, trigger-rich, and clearly distinguishes when to invoke the skill, with concrete actions and an explicit 'Use for' clause. It is third-person, free of fluff, and unlikely to conflict with other skills.

DimensionReasoningScore

Specificity

Lists multiple concrete actions — 'Run, configure, and troubleshoot', 'constructing `codex exec` commands', 'selecting sandbox and approval modes', 'consuming JSONL events or structured output', 'resuming sessions', 'passing prompts through stdin', and 'handling failures ... such as `request_user_input`' — matching the 'lists multiple specific concrete actions' anchor.

3 / 3

Completeness

Explicitly answers both 'what' ('Run, configure, and troubleshoot OpenAI Codex CLI in non-interactive headless environments') and 'when' via an explicit 'Use for ...' clause enumerating scenarios, matching the 'clearly answers both what AND when with explicit triggers' anchor.

3 / 3

Trigger Term Quality

Covers natural trigger terms a user would actually say — 'Codex automation in Bash or PowerShell', 'native Windows or WSL2', 'shell scripts, CI/CD, Docker, Kubernetes, remote servers, agent harnesses, or batch jobs' — giving good coverage of natural variations rather than technical jargon alone.

3 / 3

Distinctiveness Conflict Risk

Scoped to a clear niche — OpenAI Codex CLI in headless non-interactive environments — with distinct triggers unlikely to fire for unrelated skills; it does not read as generic like 'Helps with code and documents'.

3 / 3

Total

12

/

12

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.

Validation16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository
XiaomiMiMo/MiMo-Code
Reviewed

Table of Contents

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