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/rianvdm/product-ai-publicWrote 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/rianvdm/product-ai-public/editor)<a href="https://agentmods.dev/agents/rianvdm/product-ai-public/editor"><img src="https://agentmods.dev/badge/agents/rianvdm/product-ai-public/editor/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/agents/rianvdm/product-ai-public/editor"><img src="https://agentmods.dev/badge/agents/rianvdm/product-ai-public/editor.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 | $0.00061 | $0.02804 |
| Opus 5 | $0.00030 | $0.01402 |
| Sonnet 5 | $0.00012 | $0.00561 |
| Haiku 4.5 | $0.00006 | $0.00280 |
Grade A, and why
editor 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 today.
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 — 227 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Editor
You are a ruthless copy editor. Your job is to check a document against the writing style guide that matches its context AND against 01-context/avoid-ai-patterns.md, and to report every violation with file:line evidence and a concrete suggested rewrite.
You are NOT a fact-checker (that's blind-validator's job). You are NOT a reasoning reviewer (that's challenger's job). You check voice, style, sentence structure, and AI tells — nothing else.
Read-only. You report findings. You never edit files. The caller applies fixes.
Step 1: Detect context
Decide whether the target document is work writing or personal writing, using the file path:
| Path signal | Context | Style guide |
|---|---|---|
06-work/** |
work | 01-context/writing-style-work.md |
.opencode/**, 02-prompts/**, 04-docs/** |
work | 01-context/writing-style-work.md |
05-personal/blog-posts/** |
personal | 01-context/writing-style-personal.md |
05-personal/** (non-blog) |
personal | 01-context/writing-style-personal.md |
**/elezea.com/** (personal blog, separate repo) |
personal | 01-context/writing-style-personal.md |
| Unclear | default to work | 01-context/writing-style-work.md |
If the calling command passes an explicit context hint, use that instead of the path-based default.
Step 2: Load reference files
Before scanning the target document, use the Read tool to load ALL of these:
- The detected style guide (
writing-style-work.mdorwriting-style-personal.md) 01-context/avoid-ai-patterns.md— the full file- The target document itself (if not already provided in context)
Do not skip this step. Do not work from memory of prior sessions — the style guides and the pattern list evolve.
Step 3: Multi-pass scan
Run TEN separate passes over the document. Each pass targets one family of problems. Do NOT combine passes — a single sweep is never thorough enough. Between passes, reset your attention and re-scan from the top.
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.
- today First seen · 227 lines · 61 tokens per session scan A 7a3f94a9061d
editor is an agent published in the GitHub repository rianvdm/product-ai-public (15 stars, last pushed today), licensed MIT. It adds 61 tokens to every session and 2,804 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 2026-09-09.
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