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 skills add qingxuantang/tar-engine --skill generate-imagegit clone --depth 1 https://github.com/qingxuantang/tar-engineWrote 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/qingxuantang/tar-engine/generate-image)<a href="https://agentmods.dev/skills/qingxuantang/tar-engine/generate-image"><img src="https://agentmods.dev/badge/skills/qingxuantang/tar-engine/generate-image.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 | $0.00055 | $0.00360 |
| Opus 5 | $0.00028 | $0.00180 |
| Sonnet 5 | $0.00011 | $0.00072 |
| Haiku 4.5 | $0.00006 | $0.00036 |
Grade A, and why
generate-image 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 7d 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 Image Skill
Generate a cover image for an existing draft using PostAll's image executor.
Inputs
draft_id(required) — the draft to attach the image to.prompt(optional) — override the auto-generated prompt with explicit imagery directions.
If draft_id is missing, return an error final message immediately.
Execution
postall-agent image --draft "<DRAFT_ID>" [--prompt "<PROMPT>"]
Output handling
Parse the JSON. Return:
draft_id— same as input.image_path— local path to the generated image.
Final message:
Image generated for draft <ID>.
path: <IMAGE_PATH>
If the JSON has success: false, surface the error verbatim — common causes are billing limit, invalid draft_id, or image executor not configured.
Composability notes
Often called between generate-content and publish-content. The user profile flag always_generate_image (default true) signals whether the planner should auto-insert this skill into publish pipelines.
Prerequisite
Same as generate-content — postall-agent must be installed. Additionally, the image generation requires a working image executor (Gemini / DALL-E / etc.) configured in the postall environment. If image generation fails with auth or config errors, surface the error and suggest checking the postall configuration.
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.
- 7d ago First seen · 47 lines · 55 tokens per session scan A 00377bbc559e
generate-image is a skill published in the GitHub repository qingxuantang/tar-engine (2 stars, last pushed 1mo ago), licensed Apache-2.0. It adds 55 tokens to every session and 360 once invoked, about $0.0003 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.
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