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/hxt9805/cadence/agents-mdgit clone --depth 1 https://github.com/hxt9805/cadenceWrote 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/hxt9805/cadence/agents-md)<a href="https://agentmods.dev/instructions/hxt9805/cadence/agents-md"><img src="https://agentmods.dev/badge/instructions/hxt9805/cadence/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 | $0.00154 | $0.00154 |
| Opus 5 | $0.00077 | $0.00077 |
| Sonnet 5 | $0.00031 | $0.00031 |
| Haiku 4.5 | $0.00015 | $0.00015 |
Grade A, and why
cadence 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 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.
What it actually says
cadence
This repository develops the cadence plugin — a domain-neutral, discussion-driven project workflow plugin that records / consolidates / retrieves AI session decisions into project archives.
The cadence plugin is itself developed using cadence conventions. See skills/cadence-bootstrap/SKILL.md for the active workflow contract (记 / 整 / 查 三阶段, _INDEX.md / _ACTIVE.md state contract, and the three-stage recording decision: acceptance / durable semantic delta / impact profile).
When working in this repo with any AI agent (Claude Code / Codex CLI / Cursor / etc.), the cadence-bootstrap protocol applies. CC harness reads it via SessionStart hook injection; Codex / other harnesses match it via skill description on session start.
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 · 8 lines · 154 tokens per session scan A 70876ab5dcfc
cadence AGENTS.md is an instructions file published in the GitHub repository hxt9805/cadence (5 stars, last pushed 1mo ago), licensed MIT. It adds 154 tokens to every session, about $0.0008 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.
Other instructions, from other repositories
flow-next CLAUDE.md
Claude Code instructions for gmickel/flow-next, covering claude code project guide, stack and tooling, when to use a skill (the default), when to use deterministic flowctl python and the common pattern: skill + thin flowctl plumbing.
flux AGENTS.md
Instructions for sirsjg/flux, covering agents.md, project overview, dogfooding, common commands and development.
agent-levers AGENTS.md
Instructions for fmind/agent-levers, covering agents.md, conventions, workflow and layout.
PEDAL copilot-instructions.md
Instructions for krgoodnews/PEDAL, covering github copilot instructions and pedal workflow.
fit-framework AGENTS.md
AGENTS.md instructions for ModelEngine-Group/fit-framework, covering fit framework - ai 开发指南, 快速开始命令, 构建全部模块（包含测试）, 仅构建 java fit 框架 and 启动 fit 运行时（依赖 node.js，默认端口 8080）.
vscode buildNext.instructions.md
Working notes and architecture documentation for the new esbuild-based build system in build/next. Use when making changes to the new build pipeline (transpile/bundle commands, NLS plugin, source-map handling, resource copying, or self-hosting watch tasks).