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 DKeken/codex-skills-alternative --skill creative-ads-explorergit clone --depth 1 https://github.com/DKeken/codex-skills-alternativeWrote 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/dkeken/codex-skills-alternative/creative-ads-explorer)<a href="https://agentmods.dev/skills/dkeken/codex-skills-alternative/creative-ads-explorer"><img src="https://agentmods.dev/badge/skills/dkeken/codex-skills-alternative/creative-ads-explorer/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/dkeken/codex-skills-alternative/creative-ads-explorer"><img src="https://agentmods.dev/badge/skills/dkeken/codex-skills-alternative/creative-ads-explorer.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00115 | $0.01102 |
| Opus 5.5 | $0.00046 | $0.00441 |
| Sonnet 5.5 | $0.00023 | $0.00220 |
| Haiku 4.5 | $0.00012 | $0.00110 |
Grade A, and why
creative-ads-explorer 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 1mo 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 — 70 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Creative — Ads Explorer
Pump out a broad, diverse batch of ad hypotheses for A/B/n testing. This is the exploration stage: quantity + diversity beat polish. The goal is to cover the message space so the market tells you what works — not to perfect one ad.
When to use
- Launching paid social/display and need a test batch.
- An existing ad is fatiguing and you need fresh angles.
- Validating which message resonates before investing in production.
When NOT to use
- You already know the winning angle and just need it finished →
creative-polish. - You're merchandising a specific discount/bundle →
creative-offer(sharper for that). - No visual direction exists and brand look matters → lock it via
creative-explorefirst.
Inputs (ask only what's missing)
- Product + core offer (what they get).
- Audience + their #1 pain or desire (the emotional hook).
- Platform: Meta, TikTok, Google Display, X, YouTube — sets aspect + length limits.
- Locked visual direction (from
creative-explore) if available, so the batch stays on-brand.
The angle × format matrix
Build hypotheses by crossing angles with formats:
- Angles: pain, benefit, social-proof, urgency/scarcity, curiosity/pattern-interrupt, comparison/vs-incumbent, founder/origin story, transformation/before-after.
- Formats: static hero, hook-frame (thumb-stopper top third), UGC mock (handheld, casual), bold-text overlay, before/after split, problem→solution 2-panel.
Not every cell is worth filling — pick the combinations most likely to resonate for THIS audience.
Workflow
- Pick the count (default 12, max 25). Choose the highest-potential angle×format cells.
- For each: headline (≤7 words), subtext, visual prompt, and why it might win (the hypothesis being tested).
- Kill near-duplicates aggressively — two ads testing the same idea waste spend.
- Generate visuals with your image-generation tool at platform ratio (
1024x1024square,1792x1024landscape, or vertical for stories/TikTok). Save to./creative/ads/<NN>-<angle>.png. - Output a ranked table; mark the top 3-5 to launch first and state what each one is testing.
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.
- 1mo ago First seen · 70 lines · 115 tokens per session scan A 0b2d1e2477dd
creative-ads-explorer is a skill published in the GitHub repository DKeken/codex-skills-alternative (15 stars, last pushed 4mo ago), licensed MIT. It adds 115 tokens to every session and 1,102 once invoked, about $0.0005 per session on Opus 5.5. 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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