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 lis186/SourceAtlas --skill codebase-overviewgit clone --depth 1 https://github.com/lis186/SourceAtlasWrote 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/lis186/sourceatlas/codebase-overview)<a href="https://agentmods.dev/skills/lis186/sourceatlas/codebase-overview"><img src="https://agentmods.dev/badge/skills/lis186/sourceatlas/codebase-overview/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/lis186/sourceatlas/codebase-overview"><img src="https://agentmods.dev/badge/skills/lis186/sourceatlas/codebase-overview.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00057 | $0.00261 |
| Opus 5.5 | $0.00023 | $0.00104 |
| Sonnet 5.5 | $0.00011 | $0.00052 |
| Haiku 4.5 | $0.00006 | $0.00026 |
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 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.
What it actually says
Codebase Overview
When to Use
Trigger this skill when the user:
- Asks about project structure or architecture
- Is new to a codebase and needs orientation
- Wants to understand tech stack or patterns used
- Asks "what is this project about"
- Asks "how is this organized"
Instructions
- Run
/sourceatlas:overviewto analyze the codebase - This scans <5% of high-entropy files (configs, READMEs, models)
- Returns project fingerprint, architecture hypotheses, and AI collaboration level
What User Gets
- Project type and scale
- Tech stack identification
- Architecture patterns with confidence levels
- Code quality signals
- Recommended next steps
Example Triggers
- "I just joined this project, where do I start?"
- "What's the architecture of this codebase?"
- "Give me an overview of this project"
- "What tech stack does this use?"
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 · 37 lines · 57 tokens per session scan A 843136dfe317
codebase-overview is a skill published in the GitHub repository lis186/SourceAtlas (48 stars, last pushed 2mo ago), licensed MIT. It adds 57 tokens to every session and 261 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-08-30.
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