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/pm-statusnpx skills add hiepdnh/Agentic-Development-Lifecycle --skill pm-statusgit 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/pm-status)<a href="https://agentmods.dev/skills/hiepdnh/agentic-development-lifecycle/pm-status"><img src="https://agentmods.dev/badge/skills/hiepdnh/agentic-development-lifecycle/pm-status.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 5.1 | $0.00065 | $0.01101 |
| Opus 5 | $0.00032 | $0.00550 |
| Sonnet 5 | $0.00013 | $0.00220 |
| Haiku 4.5 | $0.00006 | $0.00110 |
Grade A, and why
pm-status 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 6d 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 — 115 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Skill: /pm-status
Role: Project Manager
Mục đích: Tổng hợp trạng thái sprint/project từ nhiều nguồn, tạo báo cáo nhanh cho stakeholder.
Hướng dẫn thực hiện
Bước 1 — Thu thập thông tin
Yêu cầu người dùng cung cấp (hoặc đọc từ context có sẵn):
- Danh sách issues/tasks trong sprint và trạng thái
- Blockers đã biết
- Thời gian còn lại trong sprint
Bước 2 — Gate: Xác nhận phạm vi báo cáo
## Tôi sẽ tạo status report cho Sprint [N].
Trước khi tổng hợp, cho tôi biết:
| # | Câu hỏi | Lựa chọn |
|---|---------|---------|
| 1 | Báo cáo này dành cho ai? | A: Team internal / B: Stakeholder / C: Management / D: Khách hàng JP / E: Khác: ___ |
| 2 | Format mong muốn? | A: HTML dashboard (recommend cho stakeholder/khách JP) / B: Markdown (post Slack/Notion) / C: Text thuần / D: Khác: ___ |
| 3 | Có metric cụ thể nào cần highlight không? | A: Velocity / B: Burn rate / C: Blockers / D: Không cần / E: Khác: ___ |
Bước 3 — Tạo Status Report
Format quyết định ở Gate 2 câu 2:
- A — HTML dashboard (default cho stakeholder / khách JP): sinh
docs/reports/sprint-[N]-status.htmltừ templatetemplates/html-artifact.html— xem cấu trúc bên dưới - B — Markdown: sinh inline trong chat hoặc save
docs/reports/sprint-[N]-status.md— dùng template Markdown phía dưới - C — Text: tóm tắt 1 màn hình trong chat
HTML format (option A)
Inject vào template:
- Header: Sprint [N] · Velocity badge (X/Y points) · Burn rate pill (ok/warn/err)
- Section "Kanban view": 4 cột Done / In Progress / Blocked / To Do dùng CSS grid, mỗi card là một task
<table data-sortable>cho Risks & Actions với cột Impact dùng pill- Filter
<input type="search" data-filter="...">cho task list @media printđảm bảo in A4 đẹp khi forward email cho khách JP
File HTML KHÔNG commit (nếu nằm trong docs/tasks/). Lưu vào docs/reports/ thì commit được — quyết định theo nhu cầu lưu trữ của project.
Markdown format (option B/fallback)
# Sprint [N] Status Report
**Ngày**: [Date]
**PM**: [Name]
## 🟢 Tổng quan
[1-2 câu tóm tắt trạng thái tổng thể]
## ✅ Hoàn thành (Done)
| Task | Assignee | Story Points |
|------|----------|-------------|
| | | |
## 🔄 Đang làm (In Progress)
| Task | Assignee | % Done | Dự kiến xong |
|------|----------|--------|-------------|
| | | | |
## ⛔ Blocked
| Task | Blocker | Người cần action | Deadline |
|------|---------|-----------------|----------|
| | | | |
## 📋 Chưa bắt đầu (To Do)
| Task | Priority | Sprint Risk |
|------|----------|------------|
| | | |
## 📊 Sprint Health
- **Velocity**: [X] points done / [Y] points planned
- **Burn rate**: On track / At risk / Behind
- **Scope change**: [Mô tả nếu có]
## 🚨 Risks & Actions
| Risk | Impact | Mitigation | Owner |
|------|--------|------------|-------|
| | | | |
## 📅 Lịch quan trọng
- [Event/Deadline sắp tới]
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.
- 6d ago First seen · 115 lines · 65 tokens per session scan A a9317ba0eddb
pm-status is a skill published in the GitHub repository hiepdnh/Agentic-Development-Lifecycle (6 stars, last pushed 9d ago), licensed MIT. It adds 65 tokens to every session and 1,101 once invoked, about $0.0003 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 skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
chronicle
Analyze Copilot session history for standup reports, usage tips, session search, and session reindexing. Use when the user asks for a standup, daily summary, usage tips, workflow recommendations, wants to search or find past sessions by keyword/file/PR, wants to reindex their session store, or asks about deleting…
chat-pet-sprite-creation
Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.
cpu-profile-analysis
Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…