Borrowing it
Nothing to install: this file belongs to Michaelliv/cc-dejavu. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Michaelliv/cc-dejavu/main/.claude/skills/ingest-codebase/SKILL.mdgit clone --depth 1 https://github.com/Michaelliv/cc-dejavuWrote 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/michaelliv/cc-dejavu/ingest-codebase)<a href="https://agentmods.dev/skills/michaelliv/cc-dejavu/ingest-codebase"><img src="https://agentmods.dev/badge/skills/michaelliv/cc-dejavu/ingest-codebase.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 5.1 | $0.00057 | $0.02566 |
| Opus 5 | $0.00028 | $0.01283 |
| Sonnet 5 | $0.00011 | $0.00513 |
| Haiku 4.5 | $0.00006 | $0.00257 |
Grade A, and why
ingest-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 7d 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 — 284 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Ingest Codebase - Mental Model Creation
Create a comprehensive mental model that captures how a system actually works - not just what files exist, but the conceptual boundaries, responsibilities, decisions, and connections that shape it.
When to Use
- Starting a new mental model for a codebase
- The existing model feels incomplete or shallow
- Onboarding to understand a system's architecture
- After major changes to verify the model is still accurate
Philosophy
A good domain model answers:
- "What are the core things this system deals with?" → Domains
- "What can this system do?" → Capabilities (with
--operates-onconnections!) - "What concerns cut across multiple parts?" → Aspects (with
--applies-toconnections!) - "Why was it built this way?" → Decisions
CRITICAL: Every capability MUST have --operates-on linking it to domains. Every aspect MUST have --applies-to. Orphan entities indicate incomplete modeling.
Phase 1: Rapid Codebase Survey (Launch 5-10 Agents in Parallel)
Before modeling, understand the codebase structure. Launch parallel agents to explore different aspects simultaneously:
Agent 1: "Read README.md, package.json, and entry points. What problem does this solve? Who are the users?"
Agent 2: "List all top-level directories. What's in each? (src/, lib/, apps/, packages/, etc.)"
Agent 3: "Find configuration files (*.config.*, .env*, etc.). What can be configured?"
Agent 4: "Search for 'export class' or 'export function' in key directories. What are the main abstractions?"
Agent 5: "Look for test directories. What's being tested? This reveals important functionality."
Agent 6: "Search for API routes, CLI commands, or event handlers. What are the entry points?"
Agent 7: "Look for database models, schemas, or types. What data does this system manage?"
Agent 8: "Search for external integrations (HTTP clients, SDKs, third-party services)."
Output: A map of the codebase with preliminary domain candidates.
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.
- 7d ago First seen · 284 lines · 57 tokens per session scan A 469ad08751c8
ingest-codebase is a skill published in the GitHub repository Michaelliv/cc-dejavu (22 stars, last pushed 7mo ago), licensed MIT. It adds 57 tokens to every session and 2,566 once invoked, about $0.0003 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 2026-08-30.
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