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/bundl-ai/bundl-cli/agents-mdgit clone --depth 1 https://github.com/Bundl-AI/bundl-cliWrote 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/bundl-ai/bundl-cli/agents-md)<a href="https://agentmods.dev/instructions/bundl-ai/bundl-cli/agents-md"><img src="https://agentmods.dev/badge/instructions/bundl-ai/bundl-cli/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 | $0.00197 | $0.00197 |
| Opus 5 | $0.00098 | $0.00098 |
| Sonnet 5 | $0.00039 | $0.00039 |
| Haiku 4.5 | $0.00020 | $0.00020 |
Grade A, and why
bundl-cli 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
AGENTS.md
Generated by Bundl CLI v1.0.0 2026-03-08T16:50:51.588Z
Workspace
This is a Bundl AI Employee workspace. Managed by Bundl CLI.
Employees
- Jordan (AI SDR) — employees/jordan.md
- Alex (AI PM) — employees/alex.md
Startup sequence
Every agent reads on every session:
- company.md
- employees/[own name].md
- handoffs.md
- Own workspace files
- Own memory file
Coordination
Agents share data via workspace files. Agents coordinate via handoffs.md. Each agent owns specific files. No agent writes to another agent's owned files.
Approval gates
Always require human approval:
- Sending any email or message
- Updating external systems (CRM, email tools)
- Publishing any document externally
- Any action tagged EXTERNAL in corpus
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 · 35 lines · 197 tokens per session scan A 33f9f700bdaf
bundl-cli AGENTS.md is an instructions file published in the GitHub repository Bundl-AI/bundl-cli (7 stars, last pushed 3mo ago), licensed MIT. It adds 197 tokens to every session, about $0.0010 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
agent-skills AGENTS.md
AGENTS.md instructions for magnus919/agent-skills, covering agents.md — agent guide for agent-skills, format compliance, readme format, required sections and style guidance.
gangsta AGENTS.md
Instructions for kucherenko/gangsta, covering contributing to gangsta, what this is, what will not be accepted, skill changes and the laws apply to contributors too.
gangsta GEMINI.md
Instructions for kucherenko/gangsta, a project described as: AI agentic skills framework for spec-driven development, built on the organizational model of mafia.
shisan-xinuo-workflow AGENTS.md
AGENTS.md instructions for zxc663/shisan-xinuo-workflow, covering 项目级 agent 规则 · shisan-xinuo-workflow（本仓库）, 工作流在场（本仓库会话）, 维护纪律（本 skill 正文 vs 史料——开发本 skill 时的写作规范）, 项目承载（已就绪） and 本仓库底线（区别于通用纪律）.
agent-skills AGENTS.md
AGENTS.md instructions for racastellanosm/agent-skills, covering agents.md, 1. vision & architectural invariants, 2. repository architecture & layout, 3. harness support & installation paths and 4. scripting & tooling guardrails.
connectors CLAUDE.md
Claude Code instructions for zapier/connectors: Claude Code loads this file automatically. The canonical AI-agent guidance lives in AGENTS.md so that Claude Code, Codex, Cursor, and any other tool following the AGENTS.md convention read the same content.