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.
npx agentmods add instructions/biolytics-ai/rhetoric-engine/agents-mdgit clone --depth 1 https://github.com/Biolytics-AI/rhetoric-engineWrote 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/instructions/biolytics-ai/rhetoric-engine/agents-md)<a href="https://agentmods.dev/instructions/biolytics-ai/rhetoric-engine/agents-md"><img src="https://agentmods.dev/badge/instructions/biolytics-ai/rhetoric-engine/agents-md.svg" alt="Measured on agentmods" 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 | $0.00108 | $0.00108 |
| Opus 5 | $0.00054 | $0.00054 |
| Sonnet 5 | $0.00022 | $0.00022 |
| Haiku 4.5 | $0.00011 | $0.00011 |
Grade A, and why
rhetoric-engine AGENTS.md 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
Biolytics Rhetoric Engine
Use this repository as an installable agent skill package for presentation cognition. For substantial presentation work, start with:
skills/rhetorical-orchestrator/SKILL.md
Then route to the named stage skills under skills/. The core rule is simple: do not produce a deck until the user has approved the intent, insight, argument spine, and slide thesis map.
For install instructions across Codex, Claude Code, Gemini CLI, and generic agents, see INSTALL.md.
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 · 10 lines · 108 tokens per session scan A dad3f503669f
rhetoric-engine AGENTS.md is an instructions file published in the GitHub repository Biolytics-AI/rhetoric-engine (1 stars, last pushed 3mo ago), licensed MIT. It adds 108 tokens to every session, about $0.0005 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 2026-08-31.
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Skills AGENTS.md
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visual-explainer-extension GEMINI.md
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xhs-down-ai-cli GEMINI.md
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gemini-cli-media-generation GEMINI.md
Instructions for vladkol/gemini-cli-media-generation, a project described as: An example of using Gemini CLI with MCP Servers for Genmedia and Gemini 2.5 Flash Image model.
html-slides CLAUDE.md
Instructions for bluedusk/html-slides, covering project instructions, upstream dependency, version bumps and project structure.