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/barisgorgun/ai-dev-team-workflows/agents-mdgit clone --depth 1 https://github.com/barisgorgun/ai-dev-team-workflowsWrote 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/barisgorgun/ai-dev-team-workflows/agents-md)<a href="https://agentmods.dev/instructions/barisgorgun/ai-dev-team-workflows/agents-md"><img src="https://agentmods.dev/badge/instructions/barisgorgun/ai-dev-team-workflows/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 | $0.00538 | $0.00538 |
| Opus 5 | $0.00269 | $0.00269 |
| Sonnet 5 | $0.00108 | $0.00108 |
| Haiku 4.5 | $0.00054 | $0.00054 |
Grade A, and why
ai-dev-team-workflows 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 4d 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.
What it actually says
AGENTS.md
Bu dosya, AGENTS.md standardını destekleyen AI kodlama araçları (OpenAI Codex, GitHub Copilot, Cursor, Windsurf, Amp, Devin, Aider, Zed, Jules, JetBrains Junie, Claude Code ve daha fazlası) tarafından otomatik okunan proje bağlam dosyasıdır.
Claude Code için CLAUDE.md, Gemini CLI / Google Antigravity için GEMINI.md
bu dosyaya sembolik link olarak sağlanmıştır — hangi aracı kullanıyorsanız
kullanın, aynı içeriği okur; üç ayrı dosyayı senkron tutmanız gerekmez.
Bu repo bir şablondur. Kendi projenizde bu dosyanın içeriğini kendi mimarinize/standartlarınıza göre doldurun. Aşağıdaki yapı,
workflows/altındaki 12 workflow'un okuduğu/yazdığı konvansiyonu tanımlar — detay için repo kökündekiREADME.md'ye bakın.
Proje Kuralları
- Mimari: bkz.
docs/architecture.md - Kodlama standartları: bkz.
docs/coding-standards.md - Code review checklist: bkz.
docs/review-checklist.md
Task / Sprint Yönetimi
- Backlog:
docs/backlog.md - Güncel sprint panosu:
docs/progress.md - Task dosyaları:
docs/tasks/sprint-XX/TASK-{ID}-*.md - Sürüm kaydı:
docs/releases.md
Workflow'lar
Bu repo, workflows/ klasöründe Google Antigravity formatında (plain
Markdown, /komut-adı ile çağrılır) 12 rol tabanlı workflow içerir:
Business Analyst, Software Architect, Senior Developer, Code Review
Sentinel, QA Engineer, DevOps/Release Manager, PR Author, Project Manager,
Scrum Master, Release Notes Writer, Release Manager, UI Designer.
Antigravity dışında bir araç kullanıyorsanız (örn. Claude Code custom commands, Cursor rules) workflow dosyalarının markdown içeriğini o aracın kendi klasör konvansiyonuna kopyalayabilirsiniz — içerik taşınabilir plain Markdown'dır, formata özgü bir sözdizimi kullanmaz.
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.
- 4d ago First seen · 42 lines · 538 tokens per session scan A e434f46878d7
ai-dev-team-workflows AGENTS.md is an instructions file published in the GitHub repository barisgorgun/ai-dev-team-workflows (1 stars, last pushed 1mo ago), licensed MIT. It adds 538 tokens to every session, about $0.0027 per session on Opus 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
agents-in-a-box AGENTS.md
AGENTS.md instructions for stevengonsalvez/agents-in-a-box, covering agent instructions, communication, beads, quick reference and landing the plane (session completion).
cli-continues parsers.instructions.md
Instructions for yigitkonur/cli-continues, covering parser review guidelines, crash safety (critical), required exports, jsonl streaming and tool summarizer.
cli-continues security.instructions.md
Instructions for yigitkonur/cli-continues, covering security review guidelines — core utilities, command injection prevention (resume.ts), forward flag security (forward-flags.ts), handoff output safety (markdown.ts) and general.
AgentHarbor CLAUDE.md
Claude Code instructions for abhiunix/AgentHarbor, covering claude.md, commands, architecture, two tauri windows and adapter trait — the core abstraction.
cli-continues testing.instructions.md
Instructions for yigitkonur/cli-continues, covering test review guidelines, fixture-based testing, conversion coverage, test quality and regression tests.
trellis AGENTS.md
Instructions for craigcossairt/trellis, covering agents.md , project, what i need from agents, current state - source of truth pointers and tech stack.