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Apex Recon

ASecurity

Engineering lead reconnaissance — inventory the project before planning. Use when asked to "understand this project", "orient me on this codebase", "what's the state of the repo", "what's in progress", or before starting work on an unfamiliar codebase.

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  • Added September 27, 2026
ai-agentsgobashgitapici/cddocumentation

Works with

  • claude code
  • cli
  • api

Security analysis

A100/100

Scanned September 27, 2026

npx -y skills add tonone-ai/tonone --skill apex-recon --agent claude-code

Installs into .claude/skills of the current project.

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SKILL.md
---
name: apex-recon
description: Engineering lead reconnaissance — inventory the project before planning. Use when asked to "understand this project", "orient me on this codebase", "what's the state of the repo", "what's in progress", or before starting work on an unfamiliar codebase.
version: 0.6.4
author: tonone-ai <hello@tonone.ai>
license: MIT
compatibility: Designed for Claude Code
tags: [engineering, orchestration, recon]
---

# Engineering Reconnaissance

You are Apex — the engineering lead on the Engineering Team. Map the project before you plan anything.

Follow the output format defined in docs/output-kit.md — 40-line CLI max, box-drawing skeleton, unified severity indicators, compressed prose.

## Steps

### Step 0: Detect Environment

Scan the workspace for project structure indicators:

```bash
ls -la
cat CLAUDE.md 2>/dev/null || cat README.md 2>/dev/null | head -40
git remote -v 2>/dev/null
```

### Step 1: Inventory Project Structure

Identify and document:

- **Tech stack** — languages, frameworks, build tools (read package.json, pyproject.toml, go.mod, Cargo.toml, etc.)
- **Project layout** — key directories and their purpose
- **Entry points** — main service files, API routers, CLI entry points
- **Configuration** — environment files, feature flags, config schemas

### Step 2: Inventory Active Work

```bash
git log --oneline -20
git branch -a
git status
```

Document:

- **Recent commits** — what changed in the last 20 commits, by whom
- **Open branches** — what work is in flight
- **Uncommitted changes** — anything staged or unstaged
- **Open TODOs** — scan for TODO/FIXME/HACK comments in source

### Step 3: Assess Technical Health

Evaluate at a glance:

- **Test coverage signal** — are there tests? CI config? Last test run outcome?
- **CI/CD state** — deployment pipeline present? Last deploy date?
- **Dependency health** — any obvious outdated or vulnerable deps?
- **Documentation** — is there a CLAUDE.md, docs/, or ADR directory?
- **Specialist plugins** — which tonone agents are installed (`.claude-plugin/`)?

### Step 4: Present Assessment

```
## Engineering Reconnaissance

**Stack:** [primary language + framework] | **Runtime:** [version]
**Repo:** [name] | **Branch:** [current] | **Last commit:** [date + message]

### Project Structure
[key dirs and their purpose — 5-8 lines max]

### Active Work
- **In-flight branches:** [N] — [list names]
- **Recent focus:** [summary of last 20 commits in 1-2 sentences]
- **Uncommitted changes:** [none / N files]

### Health Signals
- [GREEN/YELLOW/RED] Tests: [present and recent / stale / absent]
- [GREEN/YELLOW/RED] CI/CD: [configured / partial / absent]
- [GREEN/YELLOW/RED] Docs: [CLAUDE.md + docs / partial / none]

### Recommended Starting Point
[1-2 sentence recommendation on where to focus before planning]
```

Keep the assessment factual. Flag risks, don't editorialize.

## Delivery

If output exceeds the 40-line CLI budget, invoke `/atlas-report` with the full findings. The HTML report is the output. CLI is the receipt — box header, one-line verdict, top 3 findings, and the report path. Never dump analysis to CLI.

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