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Agent skill

Apex Recon

by jeremylongshore in jeremylongshore/tons-of-skills-marketplace

Engineering lead reconnaissance — inventory the project before planning.

MITAuto-check: notes

Install Apex Recon

skills CLI
$ npx skills add jeremylongshore/tons-of-skills-marketplace --skill apex-recon -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install jeremylongshore/tons-of-skills-marketplace apex-recon --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/jeremylongshore/tons-of-skills-marketplace.git skills-src && mkdir -p .claude/skills && cp -r skills-src/plugins/ai-agency/tonone/skills/apex-recon .claude/skills/apex-recon && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
apex-recon
GitHub stars
2.8k
Token cost
~784 tokens
SKILL.md length
236 words
Files
2
Skills in repo
3,342
Repo updated
First seen
Licence
MIT

At a glance

Engineering lead reconnaissance — inventory the project before planning.

  • Works in 5 steps: Detect Environment → Inventory Project Structure → Inventory Active Work → …
  • Asked to understand this project
  • SKILL.md covers Steps and Delivery
  • Calls git

What it does

Apex Recon is an agent skill from jeremylongshore/tons-of-skills-marketplace. 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.

Its SKILL.md is about 780 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `.claude-plugin/plugin.json`).

The repository describes itself as: Model-agnostic agent-skills platform with a harness-free canonical layer, verified adapters, and the ccpi package manager. Explore at tonsofskills.com. The licence is MIT.

When your agent uses it

  • Asked to understand this project
  • Orient me on this codebase
  • Whats the state of the repo
  • Whats in progress

Example prompts

  • “understand this project”
  • “orient me on this codebase”
  • “s the state of the repo”
  • “/apex-recon”

Requirements

  • Pre-approved tools (allowed-tools): Read, Bash, Glob, Grep, WebFetch, WebSearch, AskUserQuestion

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Detect Environment
  2. Inventory Project Structure
  3. Inventory Active Work
  4. Assess Technical Health
  5. Present Assessment

What it can do on your machine

Read from SKILL.md and the folder at commit cfae287. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Read
    • Bash
    • Glob
    • Grep
    • WebFetch
    • WebSearch
    • AskUserQuestion

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • git

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md. Its commands use git, which can reach the network depending on how they are called.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Apex Recon loads about 784 tokens when it runs. Until then it costs about 66 tokens; SKILL.md has 236 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~66
When it runs · the whole SKILL.md, loaded when a task matches
~784

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
    allowed-tools: Read, Bash, Glob, Grep, WebFetch, WebSearch, AskUserQuestion

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from jeremylongshore/tons-of-skills-marketplace at commit cfae287, republished under its MIT licence (© jeremylongshore). 236 words, ~784 tokens.

Download SKILL.mdSave it as .claude/skills/apex-recon/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
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.
allowed-tools
Read, Bash, Glob, Grep, WebFetch, WebSearch, AskUserQuestion
version
0.6.4
author
tonone-ai <hello@tonone.ai>
license
MIT

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.

© jeremylongshore, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 1 other file in plugins/ai-agency/tonone/skills/apex-recon of jeremylongshore/tons-of-skills-marketplace.

  • SKILL.md
  • .claude-plugin/plugin.json

Open the folder on GitHubat commit cfae287

Compare with similar skills

Apex Recon next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Apex Recon compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Apex Recon this skilljeremylongshore/tons-of-skills-marketplace2.8k—~784Automated safety check: NotesMIT
Lead Magnetssickn33/agentic-awesome-skills47k2 repos~2.8kAutomated safety check: PassMIT
Lead Magnetscoreyhaines31/marketingskills54k5 repos~2.8kAutomated safety check: PassMIT
Apify Lead Generationsickn33/agentic-awesome-skills47k2 repos~1.2kAutomated safety check: NotesMIT
Lead Generation Research GuideRightNow-AI/openfang18k—~1.8kAutomated safety check: PassApache-2.0
Asset Inventorysickn33/agentic-awesome-skills47k2 repos~3.4kAutomated safety check: PassMIT

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Questions about Apex Recon

What does Apex Recon do?

Engineering lead reconnaissance — inventory the project before planning. Apex Recon is an agent skill from jeremylongshore/tons-of-skills-marketplace. Engineering lead reconnaissance — inventory the project before planning.

When should I use Apex Recon?

Apex Recon fits situations like: asked to understand this project; orient me on this codebase; whats the state of the repo; whats in progress.

How do I install Apex Recon in Claude Code?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill apex-recon -a claude-code`. Or copy the skill folder (plugins/ai-agency/tonone/skills/apex-recon in jeremylongshore/tons-of-skills-marketplace) into .claude/skills/apex-recon in your project. Claude Code loads it when a task matches its description.

How do I install Apex Recon in Codex?

Run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill apex-recon -a codex`. Or copy the skill folder (plugins/ai-agency/tonone/skills/apex-recon in jeremylongshore/tons-of-skills-marketplace) into .agents/skills/apex-recon in your project. Codex loads it when a task matches its description.

Can I use Apex Recon in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add jeremylongshore/tons-of-skills-marketplace --skill apex-recon -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/apex-recon, .gemini/skills/apex-recon, .github/skills/apex-recon and .opencode/skills/apex-recon in your project.

What does Apex Recon need to run?

Going by SKILL.md and its folder, Apex Recon needs the command-line tools its instructions call (git). Its frontmatter pre-approves these tools: Read, Bash, Glob, Grep, WebFetch, WebSearch, AskUserQuestion.

Does Apex Recon access the network?

SKILL.md contains no URLs. Its commands use git, which can reach the network depending on how they are called. This is read from the text; nothing was executed.

Is Apex Recon safe to install?

Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.

What licence does Apex Recon use?

Apex Recon is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Apex Recon use?

About 784 tokens (SKILL.md is roughly 3.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Apex Recon?

Skills that share tags, products or a category with Apex Recon: Lead Magnets (sickn33/agentic-awesome-skills, 47k stars), Lead Magnets (coreyhaines31/marketingskills, 54k stars), Apify Lead Generation (sickn33/agentic-awesome-skills, 47k stars) and Lead Generation Research Guide (RightNow-AI/openfang, 18k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Apex Recon?

jeremylongshore (a GitHub user) maintains it in jeremylongshore/tons-of-skills-marketplace, which has 2,827 GitHub stars. The repository holds 3,342 skills in this directory. The repository was last updated on October 10, 2026.

Source: jeremylongshore/tons-of-skills-marketplace on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.