Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx agentmods add skills/qxcnm/codex-manager/cm-imagegennpx skills add qxcnm/Codex-Manager --skill cm-imagegengit clone --depth 1 https://github.com/qxcnm/Codex-ManagerWrote 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/skills/qxcnm/codex-manager/cm-imagegen)<a href="https://agentmods.dev/skills/qxcnm/codex-manager/cm-imagegen"><img src="https://agentmods.dev/badge/skills/qxcnm/codex-manager/cm-imagegen.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 | $0.00082 | $0.03296 |
| Opus 5 | $0.00041 | $0.01648 |
| Sonnet 5 | $0.00016 | $0.00659 |
| Haiku 4.5 | $0.00008 | $0.00330 |
Grade A, and why
cm-imagegen 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 4d 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.
How it starts
The opening of the file, as written. The whole thing — 276 lines — stays where its author put it; the contents beside it link to each section on GitHub.
CM Image Generation Skill
Generates or edits images for the current project (for example website assets, game assets, UI mockups, product mockups, wireframes, logo design, photorealistic images, or infographics).
This skill follows the same request semantics, prompt workflow, decision tree, and output expectations as the official imagegen skill. The only intentional difference is the execution layer: image requests are sent to CodexManager's OpenAI-compatible Images API using the current Codex provider base_url and auth.json API key.
Top-level modes and rules
This skill has one top-level mode:
- CodexManager CLI mode: bundled
scripts/cm_image_gen.pyCLI. It uses the current Codex configuration and calls CodexManager's image endpoints.
The CLI exposes two subcommands:
generateedit
Rules:
- Use this skill only when the user explicitly asks for CodexManager image generation or when the official built-in
image_gentool is unavailable in API-key/provider mode. - Do not ask the user for a separate image API key or image base URL by default.
- Do not create one-off SDK runners.
- Never modify the official system
imagegenskill.
CodexManager config policy:
- If
CODEXMANAGER_IMAGE_BASE_URLis set, use it as the image request base URL. - Otherwise, read the active
model_providerfrom$CODEX_HOME/config.toml. - Read that provider's
base_urlfrom[model_providers.<provider>]. - Read
OPENAI_API_KEYfrom$CODEX_HOME/auth.json. - Use
CODEXMANAGER_IMAGE_MODELonly for the image model override; otherwise usegpt-image-2for OpenAI-compatible Images providers, orimage-01when the provider base URL targets the image_generation API (minimax.io/minimaxi.comhosts). - When the provider base URL targets the image_generation API, the CLI calls
POST /v1/image_generationwithaspect_ratio/width/height/seed/n/prompt_optimizer/response_formatrequest fields, passes--imageinputs assubject_reference, and parsesdata.image_urls/data.image_base64+base_resp.status_code; otherwise it calls the OpenAI Images/images/generationsand/images/editsendpoints and parsesdata[].b64_json. - Use
CODEXMANAGER_IMAGE_OUTPUT_DIRonly for the output directory override; otherwise save under the current working directory'sgenerated-images/folder.
What ships with it
8 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 4d ago First seen · 276 lines · 82 tokens per session scan A c8e759b7674a
cm-imagegen is a skill published in the GitHub repository qxcnm/Codex-Manager (2,949 stars, last pushed yesterday), licensed MIT. It adds 82 tokens to every session and 3,296 once invoked, about $0.0004 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 2026-08-30.
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