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/ryantsai/kkterm/agents-mdgit clone --depth 1 https://github.com/ryantsai/KKTermWhat 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 | $0.03033 | $0.03033 |
| Opus 5 | $0.01517 | $0.01517 |
| Sonnet 5 | $0.00607 | $0.00607 |
| Haiku 4.5 | $0.00303 | $0.00303 |
Grade A, and why
KKTerm 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.
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 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 · 218 lines · 3,033 tokens per session scan A 9cdf9775723a
KKTerm AGENTS.md is an instructions file published in the GitHub repository ryantsai/KKTerm (448 stars, last pushed 3d ago), with no licence file. It adds 3,033 tokens to every session, about $0.0152 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 2026-08-30.
Other instructions, from other repositories
token-monitor AGENTS.md
AGENTS.md instructions for Javis603/token-monitor, covering agents.md, commands, architecture, collector pipeline (shared by widget and agent) and ai tool limits collector.
token-monitor CLAUDE.md
Claude Code instructions for Javis603/token-monitor: Project guidance for all coding agents is consolidated in AGENTS.md so Claude Code and Codex share one file. Edit AGENTS.md, not this file — the line below imports it.
Clipth AGENTS.md
Instructions for wavever/Clipth, covering agent.md, 这是什么, 目录结构, 本地构建运行 and 代码签名（动签名相关的任何东西前必读）.
TokenPilot AGENTS.md
AGENTS.md instructions for eowlsdh/TokenPilot, covering project knowledge base, structure, where to look, code map and conventions.
In-Memoria copilot-instructions.md
Instructions for pi22by7/In-Memoria, covering github copilot instructions for in memoria, ⚠️ critical: path parameter usage, why this matters, getting the project path and path convention for all tools.
TokenPilot CLAUDE.md
Claude Code instructions for eowlsdh/TokenPilot, a project described as: Local-first macOS menu bar utility for AI coding-tool usage metadata.