AB litellm-vertex-codex
Configure OpenAI Codex CLI to use Vertex AI Gemini models via LiteLLM. A guide for translating strict Codex requests for Gemini compatibility.
As a process B 66/100 · Nearly there — weak spots: when it triggers, running it twice, progress reporting
How to improve
- For Hermes the description must be one sentence under 60 characters; move the conditions to a "When to Use" section.
For the model run — optional
- Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
- A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.
Guard findings · 0
✓ No critical or high findings
Files scanned: 3. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
description-long-hermesdescription is 142 chars; the Hermes authoring standard requires ≤ 60 (one sentence, ending with a period)
Process rating: all ten parameters 66/100
- 0Progress reporting. Says nothing while it works
- 20When it triggers. No condition that starts the skill
- 30Running it twice. 3 mutating operations with no state check
- 60Tools and files. Uses tools (bash, node) that frontmatter does not declare
- 60Result and completion. Output format stated, no completion criterion
- 60Consistency. The Hermes dialect needs category and tags
- 70Inputs and preconditions. Inputs and preconditions are listed
- 100Steps. 7 steps
- 100Failures and branches. 2 branches, has a failure section
- 100Execution cost. Instruction body is 883 tokens
Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.
Quality signals
- +5Description has no quoted example phrases that should trigger the skill
- +4Description does not say when NOT to use the skill (false activations)
- -2localhost URLs: will not work for another user
- +2Single-language instructions
- +3Description length 142: enough signal without eating the budget
- +4Structure: 7 headings
- +3Step-by-step instructions: 7 items
- +3Output format is stated explicitly
- +4Has examples (4 code blocks)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 80.
External checks
ClawHub: clean
This is a documentation-only setup guide for routing Codex through a local LiteLLM proxy to Vertex AI, with persistent configuration steps that are disclosed and purpose-aligned.
LLM: benign (high) · VirusTotal: · 29 May 2026