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 krillinai/growth-skills --skill marketing-imagegit clone --depth 1 https://github.com/krillinai/growth-skillsWrote 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/krillinai/growth-skills/marketing-image)<a href="https://agentmods.dev/skills/krillinai/growth-skills/marketing-image"><img src="https://agentmods.dev/badge/skills/krillinai/growth-skills/marketing-image/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/krillinai/growth-skills/marketing-image"><img src="https://agentmods.dev/badge/skills/krillinai/growth-skills/marketing-image.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Excessive Agency · line 55 Skill enables autonomous high-impact decisions without human-in-the-loop verification. Critical operations (destructive commands, financial transactions, data deletion) should require explicit user confirmation.Fix: Add human-in-the-loop confirmation for destructive, irreversible, or high-impact operations. Never auto-execute commands that modify files, send data, or alter system state.
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 | $0.00097 | $0.04659 |
| Opus 5 | $0.00048 | $0.02329 |
| Sonnet 5 | $0.00019 | $0.00932 |
| Haiku 4.5 | $0.00010 | $0.00466 |
Grade A, and why
marketing-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 12d 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 — 278 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Marketing Image
Reuse Growth Context
At the start, read .agents/growth-context.md when it exists. Reuse only product, customer, market, outcome, constraint, evidence, and routing fields whose scope, definition, source, and date remain compatible; state what is reused and surface conflicts or staleness before asking for decision-changing gaps. The file grants no system access or execution authority, and this Skill must not silently rewrite the primary diagnosis.
Turn one bounded communication decision into truthful, brand-coherent, accessible, production-ready image assets and purposeful adaptations. Optimize audience comprehension and qualified downstream value, not image count, aesthetic novelty, engagement, clicks, or attributed conversion alone.
Read The Relevant References
- Read image-contract.md before accepting product, copy, brand, source, rights, person, claim, data, or channel evidence.
- Read tools-and-dependencies.md before selecting an image provider, API, hosted application, design tool, local model, or optimization stack.
- Read production-and-prompts.md before briefing, generating, editing, compositing, templating, or adapting an image.
- Read qa-localization-and-measurement.md before localization, accessibility review, optimization, file export, delivery, or performance learning.
- Use playbook-sources.md when citing the pinned Growth Playbook basis.
Do not load provider details merely to write a brief. Do load them when the user asks what tool, model, account, API, runtime, or budget is needed.
Select One Primary Mode
| Mode | Use | Image capability | External credentials |
|---|---|---|---|
brief |
Define a production-ready image contract, concepts, sources, variants, QA, and handoff | Not required | Not required |
create |
Generate, edit, composite, template, resize, or optimize actual local files | Required | Depends on the selected tool |
audit |
Review supplied images and their placement, files, rights, lineage, and evidence | Viewing or inspection capability | Not required unless separately retrieving private evidence |
What ships with it
7 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.
- 12d ago First seen · 278 lines · 97 tokens per session scan A b72c7511d976
marketing-image is a skill published in the GitHub repository krillinai/growth-skills (43 stars, last pushed 16d ago), licensed MIT. It adds 97 tokens to every session and 4,659 once invoked, about $0.0005 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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