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bundl-cli: Instructions file for Codex

AGENTS.md

bundl-cli AGENTS.md is an instructions file for Codex, OpenCode from Bundl-AI/bundl-cli. It costs 197 tokens per session, scanned A, original, MIT.

Instructions for a Bundl AI Employee workspace, a shared folder where specialised agents store information and coordinate work.

In plain words
What is it for?
Starting an agent session, reading company and employee context, sharing handoffs, maintaining personal workspace files, and obtaining approval before sending messages or publishing or changing external data.
Why use it?
They define what each agent must read, which files it owns, how handoffs work, and when a person must approve an external action.

Instructions file for CodexOpenCode

Written for Codex and OpenCode: the file is AGENTS.md. Also seen: mentions AGENTS.md.

This is Bundl-AI/bundl-cli's own configuration. It tells Codex and OpenCode how to work on bundl-cli itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything bundl-cli configures →

not rated 8repo 5mo ago A scan 197 tokens original MIT
View source ↗ Bundl-AI/bundl-cli bundl.ai
Reuse

Borrowing it

Nothing to install: this file belongs to Bundl-AI/bundl-cli. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/Bundl-AI/bundl-cli/main/AGENTS.md
Clone the repo
git clone --depth 1 https://github.com/Bundl-AI/bundl-cli

Made for: Codex, OpenCode.

Wrote 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.

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README.md
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Your own site
<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/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

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<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="Reviewed on agentmods" width="80" height="20"></a>
Per session 197 This file is loaded in full into every session.
When invoked 197 The same file — it is already loaded in full.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00197 $0.00197
Opus 5.5 $0.00079 $0.00079
Sonnet 5.5 $0.00039 $0.00039
Haiku 4.5 $0.00020 $0.00020

Measured 2mo ago against content hash 33f9f700bdaf, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

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 2mo 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.

AGENTS.md · 35 lines

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:

  1. company.md
  2. employees/[own name].md
  3. handoffs.md
  4. Own workspace files
  5. 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
Changes

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.

  1. 2mo ago First seen · 35 lines · 197 tokens per session scan A 33f9f700bdaf

Subscribe to this mod's changes

bundl-cli AGENTS.md is an instructions file published in the GitHub repository Bundl-AI/bundl-cli (8 stars, last pushed 5mo ago), licensed MIT. It adds 197 tokens to every session, about $0.0008 per session on Opus 5.5. 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.

Building agentsagentsagentskillsaiclaudecodecorpus
Related

bundl-cli AGENTS.md compared with instructions from other repositories

bundl-cli AGENTS.md next to 6 instructions from other repositories
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bundl-cli AGENTS.mdBundl-AI/bundl-cliInstructions file85mo agoMITA197Codex, OpenCode
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deepseek-harness AGENTS.mddeepseek-ai/deepseek-harnessInstructions file275k2d agoMITA4,313Codex, OpenCode