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.
npx skills add djscheuf/agentic-dev-ecosystem-template --skill explore-codebasegit clone --depth 1 https://github.com/djscheuf/agentic-dev-ecosystem-templateWrote 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.
[](https://agentmods.dev/skills/djscheuf/agentic-dev-ecosystem-template/explore-codebase)<a href="https://agentmods.dev/skills/djscheuf/agentic-dev-ecosystem-template/explore-codebase"><img src="https://agentmods.dev/badge/skills/djscheuf/agentic-dev-ecosystem-template/explore-codebase/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.
<a href="https://agentmods.dev/skills/djscheuf/agentic-dev-ecosystem-template/explore-codebase"><img src="https://agentmods.dev/badge/skills/djscheuf/agentic-dev-ecosystem-template/explore-codebase.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00000 | $0.02424 |
| Opus 5.5 | $0.00000 | $0.00970 |
| Sonnet 5.5 | $0.00000 | $0.00485 |
| Haiku 4.5 | $0.00000 | $0.00242 |
Grade A, and why
explore-codebase 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 1mo 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.
How it starts
The opening of the file, as written. The whole thing — 436 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Explore Codebase Workflow
Purpose
Systematically analyze an existing codebase to understand its architecture, patterns, and conventions, producing documentation for consistent development.
Trigger
- Joining a new project
- Before implementing a significant feature
- Onboarding new team members
- Documenting an undocumented codebase
- Understanding unfamiliar code areas
Outputs
- Architecture documentation
- Coding standards documentation
- Pattern library
- Dependency map
Workflow Steps
Step 1: Project Overview
Gather basic information:
PROJECT METADATA:
├── Name: [Project name]
├── Purpose: [What does it do?]
├── Tech stack: [Languages, frameworks, databases]
├── Repository: [Location, structure]
└── Documentation: [Existing docs location]
Commands to run:
$ ls -la # Root structure
$ cat README.md # Project overview
$ cat package.json # Node.js dependencies
$ cat requirements.txt # Python dependencies
$ cat *.csproj # .NET dependencies
Step 2: Analyze Directory Structure
Map the codebase organization:
ROOT/
├── src/ [Source code]
│ ├── controllers/ [Request handlers]
│ ├── services/ [Business logic]
│ ├── models/ [Data structures]
│ ├── repositories/ [Data access]
│ └── utils/ [Utilities]
├── tests/ [Test files]
├── docs/ [Documentation]
├── scripts/ [Build/deploy scripts]
├── config/ [Configuration]
└── infrastructure/ [IaC, Docker, etc.]
Identify patterns:
□ Layered architecture?
□ Feature-based organization?
□ Domain-driven structure?
□ Monorepo or single project?
Step 3: Identify Architecture Pattern
Determine the architectural style:
COMMON PATTERNS:
├── Layered/N-Tier
│ └── Presentation → Business → Data
├── Clean Architecture
│ └── Domain → Application → Infrastructure
├── Hexagonal (Ports & Adapters)
│ └── Core with ports, adapters implement
├── Microservices
│ └── Independent deployable services
├── Modular Monolith
│ └── Single deploy, modular internals
└── Event-Driven
└── Components communicate via events
Document:
- Primary pattern used
- Deviations from pattern
- Boundaries between layers/modules
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.
- 1mo ago First seen · 436 lines · 0 tokens per session scan A 0ff655d41b57
explore-codebase is a skill published in the GitHub repository djscheuf/agentic-dev-ecosystem-template (12 stars, last pushed 20d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 2,424 tokens. 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 2026-08-30.
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