build

build is a command for Gemini CLI from d-o-hub/github-template-ai-agents. It costs 0 tokens per session (151 once invoked), scanned A, a copy of build, MIT.

A command for completing planned coding tasks one at a time using test-driven development (TDD), then building and committing each result.

In plain words
What is it for?
Use it to write a failing test, implement the smallest passing change, run tests and the build, and create a commit.
Why use it?
It provides a repeatable path from an unfinished task to verified code and helps catch regressions before moving on.

Command for Gemini CLI

Install

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.

agentmods
npx agentmods add commands/d-o-hub/github-template-ai-agents/build
Clone the repo
git clone --depth 1 https://github.com/d-o-hub/github-template-ai-agents

Made for: Gemini CLI.

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.

agentmods badge for build

README.md
[![agentmods](https://agentmods.dev/badge/commands/d-o-hub/github-template-ai-agents/build.svg)](https://agentmods.dev/commands/d-o-hub/github-template-ai-agents/build)
Your own site
<a href="https://agentmods.dev/commands/d-o-hub/github-template-ai-agents/build"><img src="https://agentmods.dev/badge/commands/d-o-hub/github-template-ai-agents/build.svg" alt="Measured on agentmods" height="20"></a>
Per session 0 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 151 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 88% copy Near-identical to another mod 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 $0.00000 $0.00151
Opus 5 $0.00000 $0.00076
Sonnet 5 $0.00000 $0.00030
Haiku 4.5 $0.00000 $0.00015

Measured yesterday against content hash 5f052d55f4d4, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

build 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 yesterday.

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.

Origin

This is a copy

88% identical to build — 14 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.

.gemini/commands/build.toml · 15 lines

What it actually says

description = "Implement the next task incrementally — build, test, verify, commit" prompt = """ Invoke the incremental-implementation skill alongside test-driven-development. Pick the next pending task from the plan. For each task:

  1. Read the task's acceptance criteria
  2. Load relevant context (existing code, patterns, types)
  3. Write a failing test for the expected behavior (RED)
  4. Implement the minimum code to pass the test (GREEN)
  5. Run the full test suite to check for regressions
  6. Run the build to verify compilation
  7. Commit with a descriptive message
  8. Mark the task complete and move to the next one If any step fails, follow the debugging-and-error-recovery skill. """
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. yesterday First seen · 15 lines · 0 tokens per session scan A 5f052d55f4d4

Subscribe to this mod's changes

build is a command published in the GitHub repository d-o-hub/github-template-ai-agents (2 stars, last pushed yesterday), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 151 tokens. A static security scan graded it A with 0 findings. It is 88% identical to build, differing in 14 lines, and is treated as a copy.