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codex

Delegate coding to OpenAI Codex CLI (features, PRs).

60

Quality

72%

Does it follow best practices?

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SecuritybySnyk

Critical

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tessl review fix ./skills/autonomous-ai-agents/codex/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

87%

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

The content is highly actionable and concise, with copy-paste-ready commands and well-structured sections. The main gap is the absence of explicit validation/confirmation checkpoints inside the batch and destructive workflows.

DimensionReasoningScore

Conciseness

The body is lean and code-driven with tight framing prose; it avoids explaining basics Claude already knows and every section earns its place (e.g. the auth caveat documents non-obvious behavior).

3 / 3

Actionability

It provides fully executable, copy-paste-ready terminal() and process() invocations with concrete flags and workdirs across one-shot, background, and parallel workflows.

3 / 3

Workflow Clarity

Multi-step workflows (background mode, parallel worktrees, batch PR reviews) are clearly sequenced, but batch/destructive operations like the parallel --yolo fixes lack an inline validate-and-confirm checkpoint before push, which caps clarity at 2.

2 / 3

Progressive Disclosure

It is a single, self-contained file with well-organized sections and no nested or external references, so the overview structure is clear and easy to navigate.

3 / 3

Total

11

/

12

Passed

Description

57%

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 and distinctive, naming a concrete tool and niche, but it stops short of comprehensive action coverage and omits an explicit 'when to use' trigger. Adding a Use-when clause and broader trigger terms would raise it.

Suggestions

Add an explicit trigger clause, e.g. 'Use when building features, refactoring, reviewing PRs, or batch-fixing issues via the Codex CLI.'

Broaden trigger terms to include natural phrasings users say ('refactoring', 'code review', 'bug fixes', 'batch issue fixing').

List more concrete actions instead of the parenthetical '(features, PRs)' to improve specificity.

DimensionReasoningScore

Specificity

The phrase 'Delegate coding to OpenAI Codex CLI (features, PRs)' names the tool and a couple of actions, but does not comprehensively list concrete actions like refactoring or batch issue fixing.

2 / 3

Completeness

It states what the skill does (delegate coding to Codex CLI) but lacks an explicit 'Use when...' trigger clause, which caps completeness at 2 per the guidelines.

2 / 3

Trigger Term Quality

It surfaces relevant keywords ('coding', 'Codex', 'PRs') a user might say, but omits common variations such as 'refactoring', 'code review', or 'bug fixing'.

2 / 3

Distinctiveness Conflict Risk

'OpenAI Codex CLI' carves out a clear, specific niche that is unlikely to trigger for unrelated skills.

3 / 3

Total

9

/

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.

Validation13 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

metadata_version

'metadata.version' is missing

Warning

metadata_field

'metadata' should map string keys to string values

Warning

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

Total

13

/

16

Passed

Repository
NousResearch/hermes-agent
Reviewed

Table of Contents

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