Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/DNYoussef/context-cascadenpx agentmods add skills/dnyoussef/context-cascade/gemini-codebase-onboardWrote 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/dnyoussef/context-cascade/gemini-codebase-onboard)<a href="https://agentmods.dev/skills/dnyoussef/context-cascade/gemini-codebase-onboard"><img src="https://agentmods.dev/badge/skills/dnyoussef/context-cascade/gemini-codebase-onboard/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/dnyoussef/context-cascade/gemini-codebase-onboard"><img src="https://agentmods.dev/badge/skills/dnyoussef/context-cascade/gemini-codebase-onboard.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 | $0.00036 | $0.01548 |
| Opus 5.5 | $0.00014 | $0.00619 |
| Sonnet 5.5 | $0.00007 | $0.00310 |
| Haiku 4.5 | $0.00004 | $0.00155 |
Grade A, and why
gemini-codebase-onboard 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 — 258 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Gemini Codebase Onboard Skill
LIBRARY-FIRST PROTOCOL (MANDATORY)
Before writing ANY code, you MUST check:
Step 1: Library Catalog
- Location:
.claude/library/catalog.json - If match >70%: REUSE or ADAPT
Step 2: Patterns Guide
- Location:
.claude/docs/inventories/LIBRARY-PATTERNS-GUIDE.md - If pattern exists: FOLLOW documented approach
Step 3: Existing Projects
- Location:
D:\Projects\* - If found: EXTRACT and adapt
Decision Matrix
| Match | Action |
|---|---|
| Library >90% | REUSE directly |
| Library 70-90% | ADAPT minimally |
| Pattern exists | FOLLOW pattern |
| In project | EXTRACT |
| No match | BUILD (add to library after) |
Kanitsal Cerceve (Evidential Frame Activation)
Kaynak dogrulama modu etkin.
Purpose
Use Gemini CLI's massive 1 million token context window to analyze entire codebases in a single pass. Generate architecture maps, pattern documentation, and onboarding guides.
When to Use This Skill
- Onboarding to a new codebase
- Understanding full system architecture
- Mapping dependencies across all files
- Finding patterns and anti-patterns
- Migration planning (need full context)
- Security audits requiring full codebase awareness
- Refactoring impact analysis
When NOT to Use This Skill
- Working with single file (use Claude directly)
- Complex reasoning tasks (Claude is better)
- Writing new features (Gemini gets stuck in loops)
- Iterative refinement (use Codex)
Workflow
Phase 1: Megacontext Load
# Load entire codebase
./scripts/multi-model/gemini-yolo.sh "Analyze architecture" task-id megacontext
# Via delegate.sh
./scripts/multi-model/delegate.sh gemini "Map full architecture" --all-files
# Direct Gemini
bash -lc "gemini --all-files 'Analyze entire codebase and document architecture'"
Phase 2: Analysis Queries
Common analysis patterns:
- Architecture overview
- Dependency mapping
- Pattern identification
- Security scanning
- Migration assessment
What ships with it
4 files beside SKILL.md 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.
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 · 258 lines · 36 tokens per session scan A 9ec5555ca242
gemini-codebase-onboard is a skill published in the GitHub repository DNYoussef/context-cascade (32 stars, last pushed 3mo ago), licensed MIT. It adds 36 tokens to every session and 1,548 once invoked, about $0.0001 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 2026-09-03.
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