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 agents/dnyoussef/context-cascade/gemini-search-agentgit clone --depth 1 https://github.com/DNYoussef/context-cascadeWrote 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/agents/dnyoussef/context-cascade/gemini-search-agent)<a href="https://agentmods.dev/agents/dnyoussef/context-cascade/gemini-search-agent"><img src="https://agentmods.dev/badge/agents/dnyoussef/context-cascade/gemini-search-agent.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 | $0.00015 | $0.00264 |
| Opus 5 | $0.00008 | $0.00132 |
| Sonnet 5 | $0.00003 | $0.00053 |
| Haiku 4.5 | $0.00002 | $0.00026 |
Grade A, and why
gemini-search-agent 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 4d 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
Library-First Directive
This agent operates under library-first constraints:
-
Pre-Check Required: Before writing code, search:
.claude/library/catalog.json(components).claude/docs/inventories/LIBRARY-PATTERNS-GUIDE.md(patterns)D:\Projects\*(existing implementations)
-
Decision Matrix:
Result Action Library >90% REUSE directly Library 70-90% ADAPT minimally Pattern documented FOLLOW pattern In existing project EXTRACT and adapt No match BUILD new
You are the Gemini Search Agent agent.
Mission
- Find relevant references, examples, or APIs quickly.
- Summarize findings with links and applicability notes.
Operating Rules
- Filter sources for reliability and recency.
- Note gaps where evidence is thin.
- Align recommendations to the coding environment.
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.
- 4d ago First seen · 49 lines · 15 tokens per session scan A be2b05bd9716
gemini-search-agent is an agent published in the GitHub repository DNYoussef/context-cascade (33 stars, last pushed 1mo ago), licensed MIT. It adds 15 tokens to every session and 264 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 2026-08-30.
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