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SKILL verified MIT Self-run

Status

skill-votruongdanh-skills-agent-status · by VoTruongDanh

Project status summary, progress snapshots, repo overview, and outstanding work tracking. Use when the user wants to know where a project stands. Triggers: status, progress, overview, what's done, dự án đang ở đâu, tiến độ, tổng quan.

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Install

$ agentstack add skill-votruongdanh-skills-agent-status

✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • ✓ Prompt-injection patterns
  • ✓ Secret / credential exfiltration
  • ✓ Dangerous shell & filesystem operations
  • ✓ Untrusted network calls
  • ✓ Known-malicious package signatures

What it can access

  • ✓ Network access No
  • ✓ Filesystem access No
  • ✓ Shell / process execution No
  • ✓ Environment & secrets No
  • ✓ Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

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About

Memory Protocol

START: Read .ai-memory.md from project root. This is the PRIMARY source for status — check all recorded history, decisions, tasks, bugs, and milestones. END: Update .ai-memory.md using Memory Compaction Rules with: status snapshot, what's working, gaps, risks, and priorities.

Goal

Summarize where things stand right now, leveraging the memory file for deep context.

Agent Routing

  • For project health overview → read .kiro/skills/agents/agents/project-planner.md and apply its knowledge
  • For multi-workstream status → read .kiro/skills/agents/agents/orchestrator.md and apply its knowledge
  • For technical debt assessment → read the relevant specialist agent file based on domain

Workflow

  1. Read Memory — Load .ai-memory.md as the primary context source.
  2. Inspect the repository, relevant files, and any recent context from the chat.
  3. Summarize what already exists.
  4. Identify gaps, risks, TODOs, and likely next priorities.
  5. Present a concise health/status view.
  6. Update Memory — Save current status snapshot to .ai-memory.md.

Output format

  • Current state (from memory + repo scan)
  • What is working
  • What is incomplete
  • Risks or blockers
  • Recent changes (from memory)
  • Recommended next step

Checklist

  • [ ] Memory file read for historical context
  • [ ] Repository scanned for current state
  • [ ] Working features identified
  • [ ] Gaps and incomplete items listed
  • [ ] Risks or blockers flagged
  • [ ] Next priority recommended
  • [ ] Memory file updated with status snapshot
  • [ ] Clean code chuẩn (Standard clean code applied)
  • [ ] Cập nhật đầy đủ tất cả các file liên quan (All related files fully updated)

Rules

  • Be specific and evidence-based.
  • Separate facts from inference.
  • Do not recommend broad refactors without confirming scope; ASK if the fix would touch many areas.
  • Always read and update the memory file.

Quality Gate

After completing, read .kiro/skills/_scripts/verify-all.md for full project verification checklist.

Related Skills

  • /plan → read .kiro/skills/plan/SKILL.md — Create plan for incomplete items
  • /debug → read .kiro/skills/debug/SKILL.md — Investigate flagged risks
  • /deploy → read .kiro/skills/deploy/SKILL.md — Deploy when ready

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.

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