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/eugenelim/agent-ready-repoWrote 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/plugins/eugenelim/agent-ready-repo/product-engineering)<a href="https://agentmods.dev/plugins/eugenelim/agent-ready-repo/product-engineering"><img src="https://agentmods.dev/badge/plugins/eugenelim/agent-ready-repo/product-engineering/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/plugins/eugenelim/agent-ready-repo/product-engineering"><img src="https://agentmods.dev/badge/plugins/eugenelim/agent-ready-repo/product-engineering.svg" alt="Reviewed on agentmods" width="80" height="20"></a>Grade A, and why
product-engineering 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.
What it actually says
{
"name": "product-engineering",
"version": "2.0.4",
"description": "The messy part, before there is anything to build. Name the outcome, find the assumption that would sink it, and test that one first. What survives gets cut into specs a delivery loop can pick up."
}
What it installs
The manifest is a name and a version. 12 skills, 3 agents travel with it, and installing the plugin installs all of them — 1,658 tokens a session between them. Each is measured on its own page, and each can be installed alone.
- Skill frame-domain A 73 tokens
- Skill align-value-stream A 162 tokens
- Skill diverge-solutions A 68 tokens
- Skill explore-options A 82 tokens
- Skill plan-validation A 77 tokens
- Skill frame-situation A 67 tokens
- Skill discovery-loop A 195 tokens
- Skill intent A 236 tokens
- Skill lean-canvas A 65 tokens
- Skill map-capabilities A 72 tokens
- Skill identify-opportunities A 74 tokens
- Skill place-bet A 74 tokens
- Agent discovery-threat-reviewer A 142 tokens
- Agent discovery-reliability-reviewer A 120 tokens
- Agent discovery-lead A 151 tokens
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 Changed 2ff3a59a580b
- yesterday Changed eaacae4778ef
- 7d ago Changed b82ba6e5edc0
- 8d ago Changed 4936dced7330
- 13d ago Changed e84108f7be27
- 14d ago Changed e0de01f02a39
- 15d ago Changed 6570fb57737f
- 17d ago Changed 4bb84c847ca5
- 18d ago Changed 7040412bb6eb
- 28d ago First seen · 6 lines scan A 3fae3f3c361e
product-engineering is a plugin published in the GitHub repository eugenelim/agent-ready-repo (26 stars, last pushed today), licensed Apache-2.0. Its token cost is not measured: this kind of file is read by the harness, not the model. 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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