Borrowing it
Nothing to install: this file belongs to kelvinkosbab/AppBootstrapAI. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/kelvinkosbab/AppBootstrapAI/main/AGENTS.mdgit clone --depth 1 https://github.com/kelvinkosbab/AppBootstrapAIWrote 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/kelvinkosbab/appbootstrapai/agents-md)<a href="https://agentmods.dev/instructions/kelvinkosbab/appbootstrapai/agents-md"><img src="https://agentmods.dev/badge/instructions/kelvinkosbab/appbootstrapai/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.
<a href="https://agentmods.dev/instructions/kelvinkosbab/appbootstrapai/agents-md"><img src="https://agentmods.dev/badge/instructions/kelvinkosbab/appbootstrapai/agents-md.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.01915 | $0.01915 |
| Opus 5.5 | $0.00766 | $0.00766 |
| Sonnet 5.5 | $0.00383 | $0.00383 |
| Haiku 4.5 | $0.00192 | $0.00192 |
Grade A, and why
AppBootstrapAI AGENTS.md scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 3d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 138 lines — stays where its author put it; the contents beside it link to each section on GitHub.
AGENTS.md — operating AppBootstrapAI
For AI agents. This file tells you how to operate this package — AppBootstrapAI — to set up / update / improve another repository. It is not the
AGENTS.mdthatinstall.sh --agents codexwrites into a target repo (that one carries the bundle's coding rules). Humans: see README.md.
AppBootstrapAI is a drop-in bundle of AI agent steering — rules, skills (Claude),
and MCP recipes — copied into a target app repo by install.sh. It covers Apple
(Swift 6 / SwiftUI / visionOS / Testing / Core Data / Foundation Models) and
Android (Kotlin / Compose / Gradle / Hilt).
Asked to audit a repo with this package? (no install)
If the user wants their package, app, or repo audited against these rules
("use kelvinkosbab/AppBootstrapAI to audit my package"), follow
playbooks/audit.md. It's read-only on their repo:
git clone --depth 1 https://github.com/kelvinkosbab/AppBootstrapAI "${TMPDIR:-/tmp}/AppBootstrapAI"
"${TMPDIR:-/tmp}/AppBootstrapAI/install.sh" audit <their-repo> --no-install-check --json
Then triage each finding against its rule_path, run the skills_to_run,
review their AI steering files (CLAUDE.md, AGENTS.md, Cursor / Copilot
rules) against .claude/rules/ai-steering-files.md, and report in chat. For
"audit my AI rules" alone, add --steering-only. Don't install unless they ask. The rest of this file covers
installing the bundle.
Golden path — do this
# 1. Analyze the target. Read-only. Returns JSON with a ready-to-run command.
./install.sh recommend <dir> --json
# 2. Preview. Run the returned `preview_command` (= command + --dry-run). Writes nothing.
# 3. Apply. Run the returned `command`. Then report what changed.
recommend introspects the directory and tells you exactly what to run — one
call replaces grepping the tree yourself. Trust its command / preview_command.
recommend --json returns:
{ state, platform, apple_language, features, action, feature_reasons, command[], preview_command[], notes[] }.
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 Changed · +2 lines · +52 tokens per session bb8d7619a0cf
- 4d ago Changed · +16 lines · +214 tokens per session 46787d254f37
- 6d ago Changed · +16 lines · +257 tokens per session 83278c0a8d26
- 11d ago Changed · +3 lines · +59 tokens per session 99394512b2e0
- 1mo ago First seen · 101 lines · 1,333 tokens per session scan A 06e9919daf7f
AppBootstrapAI AGENTS.md is an instructions file published in the GitHub repository kelvinkosbab/AppBootstrapAI (8 stars, last pushed 4d ago), licensed MIT. It adds 1,915 tokens to every session, about $0.0077 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.
Other instructions, from other repositories
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).
next.js AGENTS.md
AGENTS.md instructions for vercel/next.js, covering next.js development guide, codebase structure, monorepo overview, core package: packages/next and other important packages.
vscode oss-third-party-notices.instructions.md
Instructions for microsoft/vscode, covering vs code oss third-party-notices pipeline, architecture, pipeline flow in ci, cache eligibility and rollout and applying the notice (cutover).
langchain AGENTS.md
AGENTS.md instructions for langchain-ai/langchain, covering global development guidelines for the langchain monorepo, corridor security analysis, project architecture and context, monorepo structure and development tools & commands.
vscode copilot-instructions.md
Copilot instructions for microsoft/vscode, covering vs code copilot instructions, project overview, root folders, core architecture (src/ folder) and built-in extensions (extensions/ folder).
deno copilot-instructions.md
Copilot instructions for denoland/deno, covering deno development guide for github copilot, network access, high level overview, key directories and key files to understand first.