A project-status workflow that reads the project’s memory file and repository, then summarises progress, working parts, unfinished work, risks, and priorities.

Use it for progress reports, repository overviews, technical-debt checks, and identifying the next work to do.

It provides a single current view of the project instead of making the reader search through tasks, bugs, and past decisions.

How VoTruongDanh/Skills-Agent configures Claude Code and Codex

Reuse

Borrowing it

Nothing to install: this file belongs to VoTruongDanh/Skills-Agent. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/VoTruongDanh/Skills-Agent/main/.agents/skills/status/SKILL.md

Clone the repo

git clone --depth 1 https://github.com/VoTruongDanh/Skills-Agent

Made for: Claude Code, Codex.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/votruongdanh/skills-agent/status/github.svg)](https://agentmods.dev/skills/votruongdanh/skills-agent/status)

Your own site

<a href="https://agentmods.dev/skills/votruongdanh/skills-agent/status"><img src="https://agentmods.dev/badge/skills/votruongdanh/skills-agent/status/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/votruongdanh/skills-agent/status"><img src="https://agentmods.dev/badge/skills/votruongdanh/skills-agent/status.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 53 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 679 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

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	$0.00053	$0.00679
Opus 5	$0.00026	$0.00340
Sonnet 5	$0.00011	$0.00136
Haiku 4.5	$0.00005	$0.00068

Measured 5d ago against content hash 0261b9aa8abe, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

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 5d 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.

.agents/skills/status/SKILL.md · 65 lines

How it starts

The opening of the file, as written. The whole thing — 65 lines — stays where its author put it; the contents beside it link to each section on GitHub.

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

Read Memory — Load .ai-memory.md as the primary context source.
Inspect the repository, relevant files, and any recent context from the chat.
Summarize what already exists.
Identify gaps, risks, TODOs, and likely next priorities.
Present a concise health/status view.
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.

Read the full file on GitHub · 65 lines

Changes

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.

5d ago Changed · +3 lines 0261b9aa8abe
10d ago First seen · 62 lines · 53 tokens per session scan A 405923a2fc93

Subscribe to this mod's changes

status is a skill published in the GitHub repository VoTruongDanh/Skills-Agent (2 stars, last pushed 6d ago), licensed MIT. It adds 53 tokens to every session and 679 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.

Project management

recipe-create-meet-space

Create a Google Meet meeting space and share the join link.

googleworkspace/cli · 18 tokens

workthreads

SpecStory Workthreads - a weekly work-thread rollup across a team's repos from SpecStory coding histories (any agent - Claude Code, Codex, Cursor, Gemini, and more). It groups the window's sessions into threads of work per project and labels each new / open / recently closed, so a lead sees what shipped, what is still…

specstoryai/getspecstory · 126 tokens

atmos-config

Atmos root configuration: atmos.yaml discovery, precedence, deep merging, basepath, imports, minimal bootstrap, and routing to narrower Atmos skills.

cloudposse/atmos · 31 tokens

story-readiness

Validate that a story file is implementation-ready. Checks for embedded GDD requirements, ADR references, engine notes, clear acceptance criteria, and no open design questions. Produces READY / NEEDS WORK / BLOCKED verdict with specific gaps. Use when user says 'is this story ready', 'can I start on this story', 'is…

Donchitos/Claude-Code-Game-Studios · 77 tokens

autotask-creator

Rules for automation CRUD from the group-chat commander. The commander does not call mutation tools and does not edit cloud/autotasks files directly. It emits one or more top-level ... containers in its final text; the bus parses and applies them after the turn.

Orkas-AI/Orkas · 5 tokens

projects

List all managed projects with status, branch, open PRs, and open issue counts — portfolio-level view.

me2resh/apexyard · 24 tokens

Skills-Agent: Skill for Claude Code