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 skills/hiepdnh/agentic-development-lifecycle/dev-analyzenpx skills add hiepdnh/Agentic-Development-Lifecycle --skill dev-analyzegit clone --depth 1 https://github.com/hiepdnh/Agentic-Development-LifecycleWrote 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/skills/hiepdnh/agentic-development-lifecycle/dev-analyze)<a href="https://agentmods.dev/skills/hiepdnh/agentic-development-lifecycle/dev-analyze"><img src="https://agentmods.dev/badge/skills/hiepdnh/agentic-development-lifecycle/dev-analyze.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 | $0.00076 | $0.02739 |
| Opus 5 | $0.00038 | $0.01370 |
| Sonnet 5 | $0.00015 | $0.00548 |
| Haiku 4.5 | $0.00008 | $0.00274 |
Grade A, and why
dev-analyze 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 — 315 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill: /dev-analyze
Role: Developer
Mục đích: Phân tích task/issue và đề xuất các phương án thi công. Dùng multi-agent để giữ context sạch.
Brain Dump Pattern (input contract)
Trước khi chạy skill này, dev nên cung cấp context block sau để giảm hallucination:
Tech stack: [language, framework, DB, infra]
Relevant files: [file paths đã biết liên quan]
Constraints: [performance, security, backward compat, deadline]
Known gotchas: [vấn đề đã biết trong codebase]
Issue/Task: [link hoặc paste nội dung]
Nếu không có đủ context → skill sẽ hỏi trước khi tiếp tục.
Kiến trúc Multi-Agent
Skill này orchestrate các subagent để giữ context sạch:
dev-analyze (orchestrator)
├── [Subagent 1] task-reader → parse issue → structured understanding
├── [Subagent 2] code-scout → tìm code liên quan (read-only)
└── [Subagent 3] planner → tổng hợp → đề xuất phương án
Mỗi subagent nhận chỉ context cần thiết, trả về kết quả nén.
Cách spawn subagent
Dùng Agent tool để spawn mỗi subagent. Prompt phải self-contained — không pass full conversation history.
Ví dụ spawn task-reader:
Agent(
description: "Parse GitHub issue into structured JSON",
prompt: "Read this issue and return structured JSON per agents/task-reader.md spec.\n\nISSUE CONTENT:\n[paste issue content here]",
model: "haiku"
)
Ví dụ spawn code-scout:
Agent(
description: "Find relevant files for auth task",
prompt: "Find files relevant to this task. Return JSON per agents/code-scout.md spec.\n\nTASK SUMMARY: [summary]\nTECH STACK: [stack]\nAFFECTED AREAS: [areas]",
model: "haiku"
)
Ví dụ spawn planner:
Agent(
description: "Synthesize task + code map into implementation options",
prompt: "Create 2-3 implementation options per agents/planner.md spec.\n\nTASK: [task-reader JSON]\nCODE MAP: [code-scout JSON]\nCONSTRAINTS: [from Gate 1]",
model: "sonnet"
)
Hướng dẫn thực hiện
Bước 0 — Risk Classification
Trước khi spawn bất kỳ subagent nào, classify risk theo docs/risk-classifier.md:
What ships with it
2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 315 lines · 76 tokens per session scan A f21e331da4f9
dev-analyze is a skill published in the GitHub repository hiepdnh/Agentic-Development-Lifecycle (6 stars, last pushed 6d ago), licensed MIT. It adds 76 tokens to every session and 2,739 once invoked, about $0.0004 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.
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