Borrowing it
Nothing to install: this file belongs to d-o-hub/github-template-ai-agents. 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/d-o-hub/github-template-ai-agents/main/.gemini/commands/build.tomlgit clone --depth 1 https://github.com/d-o-hub/github-template-ai-agentsWrote 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/commands/d-o-hub/github-template-ai-agents/build)<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/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/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="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 | $0.00000 | $0.00151 |
| Opus 5.5 | $0.00000 | $0.00060 |
| Sonnet 5.5 | $0.00000 | $0.00030 |
| Haiku 4.5 | $0.00000 | $0.00015 |
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 1mo 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
88% identical to build — 39 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
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:
- Read the task's acceptance criteria
- Load relevant context (existing code, patterns, types)
- Write a failing test for the expected behavior (RED)
- Implement the minimum code to pass the test (GREEN)
- Run the full test suite to check for regressions
- Run the build to verify compilation
- Commit with a descriptive message
- Mark the task complete and move to the next one If any step fails, follow the debugging-and-error-recovery skill. """
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.
- 1mo ago First seen · 15 lines · 0 tokens per session scan A 5f052d55f4d4
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 39 lines, and is treated as a copy.
Other commands, from other repositories
check
Run project checks and fix any errors without committing.
act
Follow RED-GREEN-REFACTOR cycle approach for test-driven development.
implement
Execute all implementation tasks from tasks.md with test-driven development, parallel batching, and atomic commits.
build
Invoke the agent-skills:incremental-implementation skill alongside agent-skills:test-driven-development.
implement-revalidate
Read by /implement when the user asks to re-validate (D-CMD-REF-HAND).
plan-execute
Execute a validated plan: worktree isolation, TDD scaffolding, level-based parallel agents, quality gate with smoke test, PR creation and merge. Handles everything through to merged PR.