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.
/plugin marketplace add GiustoPiedimonte/agentic-engineering-marketplacenpx agentmods add plugins/giustopiedimonte/agentic-engineering-marketplace/agentic-engineeringgit clone --depth 1 https://github.com/GiustoPiedimonte/agentic-engineering-marketplaceWrote 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/giustopiedimonte/agentic-engineering-marketplace/agentic-engineering)<a href="https://agentmods.dev/plugins/giustopiedimonte/agentic-engineering-marketplace/agentic-engineering"><img src="https://agentmods.dev/badge/plugins/giustopiedimonte/agentic-engineering-marketplace/agentic-engineering.svg" alt="Measured on agentmods" height="20"></a>Grade A, and why
agentic-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 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.
What it actually says
{
"name": "agentic-engineering",
"version": "0.4.0",
"description": "Spec-driven agentic engineering as graph engineering: shape (pitch) -> decide (ADR) -> execute (delegated cycle with adversarial review) -> measure -> eval, with /graph to fan work out across a fleet of subagents (diamond / router / verifier / cycle). Dark-launch eval-gated. Distilled from a real practice.",
"author": {
"name": "Giusto Piedimonte"
},
"keywords": [
"agentic-engineering",
"graph-engineering",
"spec-driven",
"shape-up",
"adr",
"code-review",
"subagents",
"workflows",
"evals",
"dark-launch"
]
}
What it installs
The manifest is a name and a version. 6 skills, 5 agents, 2 hooks travel with it, and installing the plugin installs all of them — 1,428 tokens a session between them. Each is measured on its own page, and each can be installed alone.
- Skill ship A 76 tokens
- Skill graph A 113 tokens
- Skill eval A 91 tokens
- Skill pitch A 72 tokens
- Skill adr A 67 tokens
- Skill measure A 65 tokens
- Agent executor A 174 tokens
- Agent verifier A 225 tokens
- Agent measurer A 185 tokens
- Agent researcher A 188 tokens
- Agent reviewer A 172 tokens
- Hook PostToolUse A not measured
- Hook Stop A not measured
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 · 21 lines scan A 91722211b134
agentic-engineering is a plugin published in the GitHub repository GiustoPiedimonte/agentic-engineering-marketplace (13 stars, last pushed 1mo ago), licensed MIT. 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 2026-08-30.
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