codex-review
OpenAI Codex CLI code review with GPT-5.2-Codex, CI/CD integration
38
37%
Does it follow best practices?
Impact
—
No eval scenarios have been run
Advisory
Suggest reviewing before use
Optimize this skill with Tessl
npx tessl skill review --optimize ./skills/codex-review/SKILL.mdQuality
Discovery
32%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 a terse label rather than a functional skill description. It names the tool and general domain but fails to describe concrete actions or provide any 'Use when...' guidance, making it difficult for Claude to reliably select this skill from a large pool. The specificity of the tool name (GPT-5.2-Codex) helps with distinctiveness but doesn't compensate for the lack of actionable detail.
Suggestions
Add an explicit 'Use when...' clause with trigger scenarios, e.g., 'Use when the user asks for code review using OpenAI Codex, wants to integrate Codex into CI/CD pipelines, or mentions GPT-5.2-Codex.'
List specific concrete actions the skill performs, e.g., 'Runs automated code reviews via OpenAI Codex CLI, generates review comments on pull requests, integrates Codex-based analysis into CI/CD pipelines.'
Include natural user-facing trigger terms like 'pull request review', 'PR feedback', 'automated review', 'codex review' to improve keyword coverage.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Names the domain (code review) and mentions specific tools (GPT-5.2-Codex, CI/CD integration), but doesn't list concrete actions like 'analyze diffs', 'suggest fixes', or 'generate review comments'. | 2 / 3 |
Completeness | Provides a partial 'what' (code review with specific tools) but completely lacks a 'when' clause or any explicit trigger guidance for when Claude should select this skill. | 1 / 3 |
Trigger Term Quality | Includes some relevant keywords like 'code review', 'Codex CLI', and 'CI/CD', but misses common user variations like 'review my code', 'pull request', 'PR review', or 'code quality'. | 2 / 3 |
Distinctiveness Conflict Risk | The mention of 'OpenAI Codex CLI' and 'GPT-5.2-Codex' provides some distinctiveness from generic code review skills, but 'code review' and 'CI/CD integration' are broad enough to overlap with other review or CI/CD skills. | 2 / 3 |
Total | 7 / 12 Passed |
Implementation
42%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
The skill is highly actionable with excellent, executable code examples across multiple platforms and use cases. However, it is severely over-long and monolithic — it tries to be comprehensive documentation rather than a focused skill file, covering installation, multiple CI platforms, configuration, troubleshooting, and comparisons all inline. It would benefit greatly from splitting platform-specific CI configs and detailed setup into separate referenced files, and trimming content Claude doesn't need (e.g., basic Node.js installation, shell completion setup).
Suggestions
Split CI/CD platform configs (GitHub Actions, GitLab, Jenkins) into separate referenced files like `github-action.yml`, `gitlab-ci.yml`, `jenkinsfile.groovy` and link to them from the main skill.
Remove installation instructions for Node.js, shell completions, and multiple auth options — Claude can infer these or they belong in a separate setup guide.
Remove the 'Why Codex for Code Review?' marketing table and the Claude vs Codex comparison table — these don't provide actionable guidance.
Add validation/error-recovery steps to the CI/CD workflows, e.g., checking if the review output is valid JSON, handling timeouts, and what to do when schema validation fails.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Extremely verbose at ~400+ lines. Includes extensive installation instructions (Node.js, nvm, brew, shell completions), full CI/CD configs for GitHub Actions, GitLab, and Jenkins, a comparison table with Claude, and troubleshooting tables. Much of this is documentation Claude could look up or infer. The installation section alone explains multiple package managers and authentication options in excessive detail. | 1 / 3 |
Actionability | Highly actionable with fully executable code blocks throughout: bash commands, YAML CI/CD configs, TOML configuration files, JSON schemas, and Groovy pipelines. All examples are copy-paste ready with specific flags and real command syntax. | 3 / 3 |
Workflow Clarity | CI/CD workflows are clearly sequenced (checkout → install → review → post comment), and the interactive review flow is shown step-by-step. However, there are no explicit validation checkpoints or error recovery loops — e.g., what to do if the review fails, if the schema validation rejects output, or if the diff is too large. | 2 / 3 |
Progressive Disclosure | Monolithic wall of content with no bundle files or references to separate documents. Everything — installation, interactive use, headless mode, GitHub/GitLab/Jenkins CI configs, configuration, troubleshooting — is crammed into a single file. Content like CI/CD platform-specific configs and the JSON schema should be split into separate referenced files. | 1 / 3 |
Total | 7 / 12 Passed |
Validation
81%Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.
Validation — 9 / 11 Passed
Validation for skill structure
| Criteria | Description | Result |
|---|---|---|
skill_md_line_count | SKILL.md is long (511 lines); consider splitting into references/ and linking | Warning |
frontmatter_unknown_keys | Unknown frontmatter key(s) found; consider removing or moving to metadata | Warning |
Total | 9 / 11 Passed | |
- Repository
- alinaqi/claude-bootstrap
- Commit
7e5f7a2
- Reviewed
Table of Contents
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