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 KingGyuSuh/gemini-search-cc --skill gemini-promptinggit clone --depth 1 https://github.com/KingGyuSuh/gemini-search-ccWrote 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/kinggyusuh/gemini-search-cc/gemini-prompting)<a href="https://agentmods.dev/skills/kinggyusuh/gemini-search-cc/gemini-prompting"><img src="https://agentmods.dev/badge/skills/kinggyusuh/gemini-search-cc/gemini-prompting/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/kinggyusuh/gemini-search-cc/gemini-prompting"><img src="https://agentmods.dev/badge/skills/kinggyusuh/gemini-search-cc/gemini-prompting.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 | $0.00009 | $0.00629 |
| Opus 5 | $0.00005 | $0.00315 |
| Sonnet 5 | $0.00002 | $0.00126 |
| Haiku 4.5 | $0.00001 | $0.00063 |
Grade A, and why
gemini-prompting 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 12d 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 — 93 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Gemini Prompting Guide — Internal Skill
This skill helps you compose effective queries when using the Antigravity CLI's grounded
Google Search via any of the Gemini skills (search, research, audit, fact-check, changelog, compare).
Query Composition Principles
Be Specific
Bad: "React updates"
Good: "React 19 breaking changes migration from React 18 2026"
Include Year Context
The Antigravity CLI's grounded search benefits from temporal markers.
Bad: "best Node.js framework"
Good: "best Node.js framework 2026 comparison performance"
Use Technical Precision
Bad: "Python package problem"
Good: "requests library Python CVE vulnerability 2026"
One Topic Per Query
Bad: "React 19 changes and Next.js 15 and TypeScript 6 updates"
Good: Run three separate searches, one per topic.
Query Templates
Version Check
"<package> latest stable version release date changelog"
Security Audit
"<package> <version> CVE security vulnerability advisory 2026"
Migration Guide
"<package> migration guide from <old_version> to <new_version> breaking changes"
Comparison
"<tech_a> vs <tech_b> comparison benchmark performance 2026"
Best Practices
"<technology> best practices production deployment 2026"
Deprecation Check
"<technology> deprecated alternatives replacement 2026"
Fact-Check
"<specific claim> site:github.com OR site:docs.* OR site:stackoverflow.com"
Changelog
"<package> release notes changelog latest version breaking changes"
Head-to-Head Comparison
"<tech_a> vs <tech_b> benchmark performance comparison 2025 2026"
Skill Selection Guide
| User Need | Best Skill | Why |
|---|---|---|
| "Is X true?" | /gemini:fact-check |
Structured verdict with evidence |
| "What changed in X?" | /gemini:changelog |
Focused on release notes and migration |
| "X vs Y?" | /gemini:compare |
Structured comparison with metrics |
| "Is X safe to use?" | /gemini:audit |
CVE and deprecation focused |
| General question | /gemini:search |
Broad, fast grounded search |
| Complex investigation | /gemini:research |
Multi-step, cross-referenced (slow) |
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.
- 12d ago First seen · 93 lines · 9 tokens per session scan A e32faea86f56
gemini-prompting is a skill published in the GitHub repository KingGyuSuh/gemini-search-cc (3 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 9 tokens to every session and 629 once invoked, about $0.0000 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 2026-08-31.
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