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 frankxai/claude-codex-gemini-opencode-settingsnpx agentmods add plugins/frankxai/claude-codex-gemini-opencode-settings/prompt-librarygit clone --depth 1 https://github.com/frankxai/claude-codex-gemini-opencode-settingsWrote 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/frankxai/claude-codex-gemini-opencode-settings/prompt-library)<a href="https://agentmods.dev/plugins/frankxai/claude-codex-gemini-opencode-settings/prompt-library"><img src="https://agentmods.dev/badge/plugins/frankxai/claude-codex-gemini-opencode-settings/prompt-library.svg" alt="Measured on agentmods" height="20"></a>Grade A, and why
prompt-library 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 4d 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
No licence file
A repository with no LICENSE is all rights reserved by default, so the body is not copied here. The metadata, the measurements and the link are.
What it installs
The manifest is a name and a version. 1 skill, 10 commands, 4 agents travel with it, and installing the plugin installs all of them — 88 tokens a session between them. Each is measured on its own page, and each can be installed alone.
- Skill prompt-engineering A 0 tokens
- Command architect A 0 tokens
- Command test A 0 tokens
- Command harvest A 0 tokens
- Command factory-aeo A 21 tokens
- Command log-session A 15 tokens
- Command factory-pdf A 13 tokens
- Command factory-qa A 17 tokens
- Command content-calendar A 9 tokens
- Command factory-seo A 13 tokens
- Command evolve B 0 tokens
- Agent prompt-architect A 0 tokens
- Agent prompt-evolver A 0 tokens
- Agent prompt-harvester A 0 tokens
- Agent prompt-tester C 0 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.
- 4d ago First seen · 99 lines scan A 7b70ee2621a2
prompt-library is a plugin published in the GitHub repository frankxai/claude-codex-gemini-opencode-settings (2 stars, last pushed 4mo ago), with no licence file. 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 2026-08-31.
Other plugins, from other repositories
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31-framework prompt engineering skill for analyzing and improving prompts across 7 intent categories.
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LLM-facing skill teaching agents how to spawn ainb sessions correctly and how to use ainb fleet ... orchestration subcommands. Spawning covers the ainb run contract (always into a git worktree, plus the --parent shapes that silently misfire). Fleet covers multi-session broadcast, ack-gated sequence, blocked-sessi.
rad-context-prompter
Write, debug, reverse-engineer, and migrate AI prompts — now including agentic loops and goal conditions. The prompt-engineering skill covers writing patterns and platform-specific shape (Claude, GPT, Gemini, Claude Code, OpenAI Codex/AGENTS.md, image generators, agentic tools). The loop-goal-engineering skill authors.
prompt-evaluator
A quiet prompting coach. Scores how you ask, names one thing to sharpen, and remembers your recurring patterns across sessions so the feedback compounds. Works for anyone using AI — not tied to any one domain.
chorus
Workflow patterns: LLM council, parallel review, parallel debug, second opinion.