deep

deep is a plugin for Claude Code from kbichave/skills. Its manifest loads nothing; the 5 skills, 22 agents, 6 hooks it bundles cost 2,319 tokens per session together, scanned A, original, MIT.

A plugin for discovering, planning, and implementing complex software systems with research, architecture work, test-driven development (TDD), and review by multiple language models. TDD means writing tests as part of guiding the implementation.

In plain words
What is it for?
Use it for system design, build-versus-buy decisions, architecture planning, complex implementation, and projects where tests and independent AI review are part of the process.
Why use it?
It organizes difficult engineering work into research, design, review, and implementation steps, helping address problems that need more than a quick code change.

Plugin for Claude Code

Written for Claude Code: a Claude Code plugin manifest.

Good fit Use it for system design, build-versus-buy decisions, architecture planning, complex implementation, and projects where tests and independent AI review are part of the process.

Compare 6 plugins from other repositories ↓
Install in Claude Code
/plugin marketplace add kbichave/skills
/plugin install deep
Install

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.

Clone the repo
git clone --depth 1 https://github.com/kbichave/skills

Made for: Claude Code.

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.

agentmods badge for deep

README.md
[![agentmods](https://agentmods.dev/badge/plugins/kbichave/skills/skills/github.svg)](https://agentmods.dev/plugins/kbichave/skills/skills)
Your own site
<a href="https://agentmods.dev/plugins/kbichave/skills/skills"><img src="https://agentmods.dev/badge/plugins/kbichave/skills/skills/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.

agentmods 80×15 button for deep

Your own site · 80×15
<a href="https://agentmods.dev/plugins/kbichave/skills/skills"><img src="https://agentmods.dev/badge/plugins/kbichave/skills/skills.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session not measured What this adds to a session before it is invoked.
When invoked not measured The manifest loads nothing itself; its 5 skills, 22 agents, 6 hooks cost 2,319 tokens a session between them.
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.
Security

Grade A, and why

deep 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 11d 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.

.claude-plugin/plugin.json · 23 lines

What it actually says

{
  "name": "deep",
  "description": "Discover, plan, and implement complex systems with AI-assisted research, multi-LLM review, TDD sections, and disciplined execution",
  "version": "5.23.0",
  "author": {
    "name": "kbichave",
    "url": "https://github.com/kbichave"
  },
  "repository": "https://github.com/kbichave/skills",
  "license": "MIT",
  "keywords": [
    "planning",
    "implementation",
    "tdd",
    "architecture",
    "llm-review",
    "execution",
    "discovery",
    "system-design",
    "build-vs-buy"
  ]
}
Files

What ships with it

1 file beside plugin.json 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.

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.

  1. 11d ago Changed 37a978112518
  2. 17d ago Changed 42d6aa64a270
  3. 20d ago Changed e102142021ed
  4. 1mo ago Changed 3769c9a19daf
  5. 1mo ago Changed · +10 lines 79c443098fee
  6. 1mo ago First seen · 13 lines scan A 2fd5f97b9a91

Subscribe to this mod's changes

deep is a plugin published in the GitHub repository kbichave/skills (2 stars, last pushed 11d ago), licensed MIT. Its token cost is not measured: this kind of file is read by the harness, not the model. 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.

Related

Other plugins, from other repositories

han-communication

Foundational communication plugin for the Han suite. Owns the canonical readability standard, the writing-voice profile, and the explanation standard for talking to a reader who will not implement the work, plus the readability-guidance skill that surfaces the first two into a calling skill's own context for in-voice…

testdouble/han · not measured

han-research

Pre-planning knowledge-work skills for the Han suite: understanding a problem before anyone commits to a plan. Home of research (research an open-ended question and end at an adversarially-validated recommendation), gap-analysis (compare two artifacts and report what is missing, incomplete, or conflicting), and…

testdouble/han · not measured

ci-review

CI-optimized code review: multi-agent parallel review with confidence scoring and atomic GitHub PR review posting via gh api.

rube-de/cc-skills · not measured

pr-trains

Batch operators for GitHub queues: review-train reviews every open PR, fix-train applies requested changes, fix-ci-train turns red CI green, merge-train fixes and merges in dependency order, issue-train triages and builds one PR per actionable issue — all with parallel sub-agents and one grouped confirmation.

big-emotion/agent-atelier · not measured

8-habit-ai-dev

Anti-Vibe-Coding plugin — 7-step workflow discipline + 8-Habit cross-verification for AI-assisted development.

pitimon/8-habit-ai-dev · not measured

workbench

Ticket-to-PR development workflow: triage, plan with verified citations, implement inside the plan, review, commit, PR. Pluggable issue trackers (Jira, Azure DevOps, GitHub Issues) or a backlog in the repo, so it works with no tracker at all.

matheusPavaneli/workbench · not measured