Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add LovelaceLoom/grok-plugin-cc/plugin install grokWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/commands/lovelaceloom/grok-plugin-cc/imagine)<a href="https://agentmods.dev/commands/lovelaceloom/grok-plugin-cc/imagine"><img src="https://agentmods.dev/badge/commands/lovelaceloom/grok-plugin-cc/imagine.svg" alt="Measured on agentmods" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00016 | $0.00379 |
| Opus 5 | $0.00008 | $0.00189 |
| Sonnet 5 | $0.00003 | $0.00076 |
| Haiku 4.5 | $0.00002 | $0.00038 |
Grade A, and why
imagine scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 6d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
Generate an image from a text description.
Raw slash-command arguments:
$ARGUMENTS
Run:
node "${CLAUDE_PLUGIN_ROOT}/scripts/companion.mjs" imagine "$ARGUMENTS"
Output rules:
- Return the companion's stdout verbatim. It includes:
Image: /absolute/path/to/file.jpg— the saved image path- An
open "<path>"line the user can copy and run to open it (macOS) — Linux users can substitutexdg-open - A
Session: <id>resumption handle when present
- If
$ARGUMENTSis empty, ask the user what image they want Grok to generate instead of running the command. - If Grok returns a content-policy refusal (no markdown link in the response), surface the raw text so the user can see Grok's reason.
- The default timeout is 5 minutes. Override with
--timeout 0(disable) or--timeout 90s. --save-to <path>copies the generated image to the given path (creates parent dirs if needed). If the path ends with/or names an existing directory, the source basename is appended. The internal session copy is preserved forgrok -r <id>resume. On failure (permission denied, disk full) the file remains at the internal session path and the reason is printed to stderr.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 6d ago First seen · 28 lines · 16 tokens per session scan A e2c5671762ae
imagine is a command published in the GitHub repository LovelaceLoom/grok-plugin-cc (5 stars, last pushed 29d ago), licensed Apache-2.0. It adds 16 tokens to every session and 379 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
Other commands, from other repositories
debug
Structured debugging with parallel investigation agents.
release
Generate changelog, bump version, and create git tag.
review
Multi-agent code review with parallel validation.
gemini-brainstorm-on
Re-enable Gemini grounding on every prompt (it is on by default; this only matters if you previously turned it off).
transform-image
Transform images with style transfer and AI modifications.
remove-bg
Remove background from images using AI.