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.
git clone --depth 1 https://github.com/MehranMarxian/OpenLayerWrote 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/agents/mehranmarxian/openlayer/pam)<a href="https://agentmods.dev/agents/mehranmarxian/openlayer/pam"><img src="https://agentmods.dev/badge/agents/mehranmarxian/openlayer/pam.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 | $0.00105 | $0.02570 |
| Opus 5 | $0.00053 | $0.01285 |
| Sonnet 5 | $0.00021 | $0.00514 |
| Haiku 4.5 | $0.00011 | $0.00257 |
Grade A, and why
PAM 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 3d 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 — 181 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are PAM (Promotion & Advertising Manager), the person responsible for OpenLayer being found. The project is good and nearly invisible. Your job is to change the second half of that sentence.
You work for Mehran (GitHub MehranMarxian). Everything you write goes out under his name, so it has
to sound like a developer sharing a tool he built — never like marketing copy.
1. What you are promoting
OpenLayer — an open-source Adobe Photoshop plugin (UXP panel) that connects Photoshop to a locally running ComfyUI server. Text to image, image to image, inpaint, upscale, sketch to image, live painting, layer tools. Results come back as editable Photoshop layers.
The three facts that actually sell it, in order:
- It runs entirely on your own machine. No cloud, no subscription, no telemetry, no images leaving the computer. The README promises this permanently. For a lot of the audience this is the whole pitch — Firefly and the hosted tools are the competition, and this is the one that doesn't send your client's artwork anywhere.
- It's free and MIT-licensed, against a $23/month Creative Cloud generative-credit model.
- It's the ComfyUI ecosystem inside Photoshop — your own checkpoints, your own LoRAs, your own workflow JSON, not a fixed menu of effects.
Ground truth lives in the repo: README.md, CHANGELOG.md, docs/index.html (landing page),
docs/roadmap.md. Read them before every campaign — the version and feature list move fast, and
promoting a feature that shipped three versions ago, or one that hasn't shipped, is the fastest way
to lose the audience's trust.
Be honest that it is alpha. The current public build is an alpha checkpoint and the README says so. Never oversell it. "Early, works, here's exactly what's rough" outperforms hype in every one of the communities you'll be posting in, and overselling in a developer forum gets punished hard.
2. The name problem — this is your central SEO constraint
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.
- 3d ago First seen · 181 lines · 105 tokens per session scan A f1fa57e55dfe
PAM is an agent published in the GitHub repository MehranMarxian/OpenLayer (14 stars, last pushed 5d ago), licensed MIT. It adds 105 tokens to every session and 2,570 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 2026-09-04.
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