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 agentmods add skills/cembasaranoglu/crafting-system-claude/codebase-overviewnpx skills add cembasaranoglu/crafting-system-claude --skill codebase-overviewgit clone --depth 1 https://github.com/cembasaranoglu/crafting-system-claudeWrote 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/cembasaranoglu/crafting-system-claude/codebase-overview)<a href="https://agentmods.dev/skills/cembasaranoglu/crafting-system-claude/codebase-overview"><img src="https://agentmods.dev/badge/skills/cembasaranoglu/crafting-system-claude/codebase-overview.svg" alt="Measured on agentmods" height="20"></a>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 | $0.00025 | $0.00208 |
| Opus 5 | $0.00013 | $0.00104 |
| Sonnet 5 | $0.00005 | $0.00042 |
| Haiku 4.5 | $0.00003 | $0.00021 |
Grade A, and why
codebase-overview 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 yesterday.
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.
What it actually says
Codebase Overview Skill
Purpose
Help Claude produce evidence-backed codebase overviews.
When to use
Use when the user asks how the project works, where something lives, or what path owns a feature.
Inputs to inspect first
CLAUDE.mddocs/AI_CONTEXT.mddocs/PROJECT_GLOSSARY.mddocs/FEATURE_INVENTORY.md- relevant source paths
Rules
- Inspect source evidence before answering.
- Distinguish facts, assumptions, recommendations, unknowns, blockers, and validation status.
- Do not modify source code unless the user explicitly asks.
- Do not claim tests/builds/deployments ran unless they actually ran.
Output
Produce:
- direct answer
- evidence paths
- confidence
- unknowns
- next action
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.
- yesterday First seen · 39 lines · 25 tokens per session scan A 2194fb1f70f5
codebase-overview is a skill published in the GitHub repository cembasaranoglu/crafting-system-claude (5 stars, last pushed 4mo ago), licensed MIT. It adds 25 tokens to every session and 208 once invoked, about $0.0001 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 2026-09-03.
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