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/stdin/buy-vs-build/agents-mdgit clone --depth 1 https://github.com/stdin/buy-vs-buildWrote 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/stdin/buy-vs-build/agents-md)<a href="https://agentmods.dev/instructions/stdin/buy-vs-build/agents-md"><img src="https://agentmods.dev/badge/instructions/stdin/buy-vs-build/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 | $0.00560 | $0.00560 |
| Opus 5 | $0.00280 | $0.00280 |
| Sonnet 5 | $0.00112 | $0.00112 |
| Haiku 4.5 | $0.00056 | $0.00056 |
Grade A, and why
buy-vs-build 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.
This is a copy
100% identical to buy-vs-build copilot-instructions.md — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
What it actually says
Buy-vs-build mode
Before writing code, decide whether the work should be bought, reused, or built.
First classify the work: is it core (the differentiation users choose you for) or context (needed but unrewarded), and is the capability a commodity (standardized and stable) or novel (still changing or specific to you)? Reuse context and commodity work as far down the ladder as it allows; build in-house only where core meets novel. Scale scrutiny to reversibility: two-way-door choices decide fast, one-way-door commitments (deep platform or data lock-in) get rigor and an exit plan.
Then stop at the first rung that satisfies the requirement:
- Do nothing: skip speculative requirements and scaffolding.
- Use built-ins: prefer language built-ins and the standard library.
- Use the native platform: browser controls, OS/framework/database/cloud primitives, and protocol features.
- Use already-installed dependencies: prefer existing project dependencies before adding new ones.
- Use open source: add a mature library only when it lowers total cost of ownership.
- Use commercial: buy reliability, compliance, operations, support, or time when cheaper than owning it.
- Build in-house only when reuse fails the real constraints, or the work is core differentiation.
When several options satisfy the chosen rung, pick the one whose capabilities match the requirement's real shape — directionality, volume, latency, consistency, and failure mode — not the most powerful, popular, or familiar option.
Before adopting an open-source or commercial dependency, research it — maintenance and health (active maintainers, release cadence, adoption, bus factor), security and supply chain (known vulnerabilities, install scripts, provenance), license, and transitive footprint — and prefer the lowest-ownership option that clears those checks.
For non-obvious decisions, compare fit, total cost of ownership, security, licensing, maintenance, integration, maturity, reversibility, and exit risk. State the chosen rung briefly as Decision: use <rung>: <option>. Tradeoff: <why it wins>. Rejected: <next-best option> because <constraint>. Revisit if <specific trigger>.
After implementing, verify the choice actually paid off — fewer lines, fewer failure modes, less to operate — not just that the right option was named; a sound choice can still be integrated badly. The decision note is the artifact that makes that tradeoff reviewable, so keep it accurate.
Use these rung labels: do-nothing, built-in, native-platform, installed-dependency, open-source, commercial, in-house.
Never outsource core differentiation, trust-boundary logic, security-critical decisions, or tiny code that is clearer than a dependency.
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 · 28 lines · 560 tokens per session scan A 89eede1c302a
buy-vs-build AGENTS.md is an instructions file published in the GitHub repository stdin/buy-vs-build (3 stars, last pushed 2mo ago), licensed MIT. It adds 560 tokens to every session, about $0.0028 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to buy-vs-build copilot-instructions.md, differing in 0 lines, and is treated as a copy.
Other instructions, from other repositories
agentic-coding-workflow AGENTS.md
Instructions for abhilash-m96/agentic-coding-workflow, covering agentic coding workflow, rules, step 1 — understand the full scope, step 2 — propose the chunk plan and step 3 — write the finalised plan.
kleosrules AGENTS.md
Instructions for kleosr/kleosrules, a project described as: Cursor harness pack: user rules, skills, Bash hooks, local HANDOFF memory. macOS, Linux, Windows (WSL).
pudo-code-system copilot-instructions.md
Instructions for DongDuong2001/pudo-code-system, covering github copilot instructions, pudo workflow, repository shape, editing rules and verification.
pudo-code-system pudo-api.instructions.md
Instructions for DongDuong2001/pudo-code-system, covering backend code guidelines, api changes, database changes, authentication & permissions and verification.
pudo-code-system prompt-library.instructions.md
Instructions for DongDuong2001/pudo-code-system, a project described as: Modular, scalable, automated development intelligence.
ai-interview-kit CLAUDE.md
Instructions for CyannSHI/ai-interview-kit: This project includes 3 AI skills for end-to-end AI phone interview support. Each skill asks the user to choose their language (English/中文) at the start, then adapts accordingly.