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/jassics/awesome-claude-securityWrote 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/jassics/awesome-claude-security/secure-coding)<a href="https://agentmods.dev/plugins/jassics/awesome-claude-security/secure-coding"><img src="https://agentmods.dev/badge/plugins/jassics/awesome-claude-security/secure-coding/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/jassics/awesome-claude-security/secure-coding"><img src="https://agentmods.dev/badge/plugins/jassics/awesome-claude-security/secure-coding.svg" alt="Reviewed on agentmods" width="80" height="20"></a>Grade A, and why
secure-coding 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.
The source is not reproduced here
Licensed GPL-3.0
The repository is licensed GPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.
What it installs
The manifest is a name and a version. 2 skills, 1 agent, 1 hook travel with it, and installing the plugin installs all of them — 315 tokens a session between them. Each is measured on its own page, and each can be installed alone.
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 · 10 lines scan A 773c610686ee
secure-coding is a plugin published in the GitHub repository jassics/awesome-claude-security (10 stars, last pushed 2mo ago), licensed GPL-3.0. 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 2026-09-03.
Other plugins, from other repositories
han-research
Pre-planning knowledge-work skills for the Han suite: understanding a problem before anyone commits to a plan. Home of research (research an open-ended question and end at an adversarially-validated recommendation), gap-analysis (compare two artifacts and report what is missing, incomplete, or conflicting), and…
ci-review
CI-optimized code review: multi-agent parallel review with confidence scoring and atomic GitHub PR review posting via gh api.
devin
Local Devin CLI delegation: multi family consults, SWE implementation in owned worktrees, review, resumable history, background jobs, and setup health checks.
gemini
Gemini via Antigravity CLI for Claude Code — ask, review, adversarial-review, implement.
genesis-spec-kit
AI coding with intent — the end of vibe coding. A spec-driven pipeline for Claude Code that loops a five-lens audit to zero findings before code ships. It won't save you time or tokens; it saves you from slop. File-backed, no external services. Legacy (V2-era) edition.
council-review
Multi-model code review: your diff reviewed independently by frontier models from multiple AI labs (Anthropic, OpenAI, Google, xAI, and more), synthesized into a verdict-first report — SHIP/NO-SHIP, findings confirmed by 2+ models, single-model dissents attributed. Powered by the Council AI MCP server.