codex-review
OpenAI Codex CLI code review with GPT-5.2-Codex, CI/CD integration
48
37%
Does it follow best practices?
Impact
Pending
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 noun-phrase list that names the tool ecosystem (OpenAI Codex CLI, GPT-5.2-Codex) and broad capabilities (code review, CI/CD integration) but fails to describe concrete actions or provide any 'Use when...' guidance. It reads more like a feature tag line than a skill description, making it difficult for Claude to reliably select this skill at the right time.
Suggestions
Add an explicit 'Use when...' clause with natural trigger terms, e.g., 'Use when the user asks for code review via OpenAI Codex CLI, wants to integrate GPT-5.2-Codex into their CI/CD pipeline, or mentions automated code review.'
List specific concrete actions the skill performs, such as 'Runs code review using Codex CLI, generates review comments on pull requests, configures CI/CD pipelines for automated code analysis, and summarizes code quality findings.'
Include common user-facing synonyms and variations like 'PR review', 'pull request feedback', 'automated code review', 'code quality checks' to improve trigger term coverage.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Names the domain (code review) and mentions specific tools (OpenAI Codex CLI, GPT-5.2-Codex, CI/CD integration), but doesn't list concrete actions like 'analyze pull requests', 'suggest fixes', or 'flag security issues'. | 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. Per rubric guidelines, missing 'Use when...' caps completeness at 2, and the 'what' is also weak, so this scores 1. | 1 / 3 |
Trigger Term Quality | Includes some relevant keywords like 'code review', 'CI/CD', 'Codex CLI', but misses common natural user terms like 'review my code', 'pull request', 'PR review', 'code quality', or 'linting'. | 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 code quality 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, but it is far too verbose — it reads like comprehensive product documentation rather than a focused skill file. It lacks progressive disclosure (everything is inlined in one massive file despite mentioning a base.md), and workflow clarity suffers from missing validation checkpoints and error recovery guidance for CI/CD pipelines.
Suggestions
Split CI/CD platform configs (GitHub Actions, GitLab CI, Jenkins) into separate reference files and link to them from the main skill, reducing the main file to a concise overview with one primary example.
Move installation and authentication instructions into the referenced base.md file, since the skill header already says 'Load with: base.md + code-review.md'.
Add explicit validation checkpoints to CI/CD workflows — e.g., check if review.md was generated, validate JSON output against schema before posting, and define what happens when critical findings are detected (fail the pipeline?).
Remove the comparison table with Claude, shell completions section, and troubleshooting table — these are padding that Claude doesn't need in a skill file.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | Extremely verbose at ~350+ lines. Includes extensive installation instructions (Node.js, brew, nvm, shell completions), authentication setup, full CI/CD configs for GitHub, GitLab, AND Jenkins, a comparison table with Claude, and troubleshooting — much of which Claude already knows or could infer. The skill tries to be a comprehensive reference manual rather than a lean skill file. | 1 / 3 |
Actionability | Highly actionable with fully executable commands, complete YAML workflow configs, JSON schemas, TOML configs, and specific CLI flags. Every section provides copy-paste ready code that can be directly used. | 3 / 3 |
Workflow Clarity | Individual steps are clear (install, authenticate, run review, post results), but there are no explicit validation checkpoints or feedback loops. For CI/CD automation involving code review decisions, there's no guidance on what to do when the review fails, how to gate merges on findings, or how to verify the review output is valid before posting. | 2 / 3 |
Progressive Disclosure | Monolithic wall of content with no references to external files. Everything from installation to CI/CD configs for three platforms to troubleshooting is inlined. The CI/CD configs for GitHub, GitLab, and Jenkins should be in separate reference files, and the installation/auth sections could be in a base.md (mentioned in the load instruction but not leveraged). | 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 (512 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
d4ddb03
- Reviewed
Table of Contents
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