Install
$ agentstack add skill-dbmcco-claude-agent-toolkit-grok-aurora-cli ✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.
Security review
✓ PassedNo issues found. Passed automated security review. · v0.1.0 How review works →
- ✓ Prompt-injection patterns
- ✓ Secret / credential exfiltration
- ✓ Dangerous shell & filesystem operations
- ✓ Untrusted network calls
- ✓ Known-malicious package signatures
What it can access
- ✓ Network access No
- ✓ Filesystem access No
- ✓ Shell / process execution No
- ✓ Environment & secrets No
- ✓ Dynamic code execution No
From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.
About
Grok Aurora CLI
Overview
Run the existing grok-aurora-cli project reliably and reproducibly. Prefer direct CLI commands over ad-hoc scripts, and produce concise run summaries with output paths, provider/model used, and any failures.
Quick Start
- Move into the project:
cd /grok-aurora-cli - Activate environment:
source activate.sh - Confirm CLI:
grok --help - Check provider keys:
../claude-agent-toolkit/skills/grok-aurora-cli/scripts/check-env.sh
Execution Workflow
- Resolve intent and provider
- Use
grok makefor guided, interactive runs. - Use direct commands for deterministic execution (
grok video,grok fal-image,grok novita-image,grok venice-image,grok gemini-image,grok kling-image,grok banana).
- Validate prerequisites before long runs
- Ensure the selected provider key exists.
- Ensure prompt and image paths exist.
- Keep output naming explicit for repeatability (
-o output/.mp4).
- Run generation and capture IDs/paths
- For async providers, record task/request IDs immediately from CLI output.
- For long video runs, prefer one command at a time to avoid confusing status tracking.
- Poll and retrieve assets
- Use
grok video-statusfor pending tasks. - Re-run with explicit status flags (
--fal,--novita,--kling,--seedance2,--veo) as needed. - Use
grok veo-4kfor Veo upgrade flows.
- Evaluate and summarize quality
- Use
grok evalwith optional--referenceto score identity/style consistency. - Report score totals, pass/fail threshold, and top failure reasons.
- Manage outputs and logs
- Use
grok stitchfor chain assembly. - Use
grok log --errorsfor debugging. - Keep generated artifacts in
output/with scenario-based subfolders.
Command Selection
Use the smallest command that satisfies the request:
- Text-to-image quick test:
grok generate "..."orgrok gemini-image ... - Image-to-image:
grok fal-image ...,grok novita-image ...,grok venice-image ...,grok kie-image ...,grok banana ... - Image-to-video:
grok video -i --provider - Guided selection:
grok make - Evaluation:
grok eval ... - Logs:
grok log,grok clear-log
Prefer prompt files under prompts/ for reproducibility rather than inline prompt text for long runs.
Reporting Format
After each run, provide:
- Command executed (redact secrets)
- Provider/model and key options
- Output file paths
- Task/request IDs (if async)
- Evaluation result (if run)
- Failures and next corrective action
Resources
scripts/check-env.sh: Print provider key readiness and fail if no providers are configured.scripts/run-grok.sh: Rungrokwith project activation handled automatically.references/command-recipes.md: Common command templates for repeatable generation and evaluation.
Use GUIDE.md in the CLI project as the authoritative command/options reference when a flag question is ambiguous.
Source & license
This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.
- Author: dbmcco
- Source: dbmcco/claude-agent-toolkit
- License: MIT
Install and usage instructions live in the source repository linked above.
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Versions
- v0.1.0 Imported from the upstream source.