gemini-3-prompting

gemini-3-prompting is a skill for Claude Code from m-ghalib/gemini-plugin-cc. It costs 32 tokens per session (906 once invoked), scanned A, a copy of gpt-5-4-prompting, Apache-2.0.

Internal instructions for asking Google’s Gemini 3 model for help with coding, review, diagnosis, or research tasks.

In plain words
What is it for?
Writing compact Gemini prompts with a defined task, required output format, and verification rules.
Why use it?
They make requests to Gemini specific and structured, reducing unclear answers and unsupported guesses.

Skill for Claude Code

Written for Claude Code: user-invocable in frontmatter. Also seen: mentions subagents; mentions Claude Code.

Part of the gemini plugin — 3 skills, 7 commands, 1 agent, 3 hooks shipped together

Good fit Writing compact Gemini prompts with a defined task, required output format, and verification rules.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/m-ghalib/gemini-plugin-cc/gemini-3-prompting
Install

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.

Any agent
npx skills add m-ghalib/gemini-plugin-cc --skill gemini-3-prompting
Clone the repo
git clone --depth 1 https://github.com/m-ghalib/gemini-plugin-cc

Made for: Claude Code.

Or install gemini, the plugin that ships this one along with the rest of its 3 skills, 7 commands, 1 agent, 3 hooks.

Wrote 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.

agentmods badge for gemini-3-prompting

README.md
[![agentmods](https://agentmods.dev/badge/skills/m-ghalib/gemini-plugin-cc/gemini-3-prompting/github.svg)](https://agentmods.dev/skills/m-ghalib/gemini-plugin-cc/gemini-3-prompting)
Your own site
<a href="https://agentmods.dev/skills/m-ghalib/gemini-plugin-cc/gemini-3-prompting"><img src="https://agentmods.dev/badge/skills/m-ghalib/gemini-plugin-cc/gemini-3-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.

agentmods 80×15 button for gemini-3-prompting

Your own site · 80×15
<a href="https://agentmods.dev/skills/m-ghalib/gemini-plugin-cc/gemini-3-prompting"><img src="https://agentmods.dev/badge/skills/m-ghalib/gemini-plugin-cc/gemini-3-prompting.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 32 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 906 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 78% copy Near-identical to another mod in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00032 $0.00906
Opus 5 $0.00016 $0.00453
Sonnet 5 $0.00006 $0.00181
Haiku 4.5 $0.00003 $0.00091

Measured 11d ago against content hash 8071fe729dc1, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

gemini-3-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 11d 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.

Origin

This is a copy

78% identical to gpt-5-4-prompting — 37 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

plugins/gemini/skills/gemini-3-prompting/SKILL.md · 58 lines

How it starts

The opening of the file, as written. The whole thing — 58 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Gemini 3 Prompting

Use this skill when gemini:gemini-rescue needs to ask Gemini for help.

Prompt Gemini like an operator, not a collaborator. Keep prompts compact and block-structured with XML tags. State the task, the output contract, the follow-through defaults, and the small set of extra constraints that matter.

Core rules:

  • Prefer one clear task per Gemini run. Split unrelated asks into separate runs.
  • Tell Gemini what done looks like. Do not assume it will infer the desired end state.
  • Add explicit grounding and verification rules for any task where unsupported guesses would hurt quality.
  • Prefer better prompt contracts over raising reasoning or adding long natural-language explanations.
  • Use XML tags consistently so the prompt has stable internal structure. Gemini 3 responds well to explicit <thinking> tags and to JSON schemas given inline — use both when the output shape matters.

Default prompt recipe:

  • <task>: the concrete job and the relevant repository or failure context.
  • <structured_output_contract> or <compact_output_contract>: exact shape, ordering, and brevity requirements.
  • <default_follow_through_policy>: what Gemini should do by default instead of asking routine questions.
  • <verification_loop> or <completeness_contract>: required for debugging, implementation, or risky fixes.
  • <grounding_rules> or <citation_rules>: required for review, research, or anything that could drift into unsupported claims.

When to add blocks:

  • Coding or debugging: add completeness_contract, verification_loop, and missing_context_gating.
  • Review or adversarial review: add grounding_rules, structured_output_contract, and dig_deeper_nudge.
  • Research or recommendation tasks: add research_mode and citation_rules.
  • Write-capable tasks: add action_safety so Gemini stays narrow and avoids unrelated refactors.

How to choose prompt shape:

  • Gemini has no built-in review mode, so all review jobs go through review or adversarial-review subcommands that already carry the review contract.
  • Use task when the task is diagnosis, planning, research, or implementation and you need to control the prompt more directly.
  • Use task --resume-last for follow-up instructions on the same Gemini thread. Send only the delta instruction instead of restating the whole prompt unless the direction changed materially.

Use Gemini's built-in subagents when the task benefits from dedicated exploration:

  • codebase_investigator (ships with the codebase-investigation skill) — invoke it inside a prompt when Gemini needs to map call sites, trace invariants, or summarize a subsystem before answering. It is configured to use gemini-3.1-pro-preview. Mention it by name in the prompt body (e.g., "use the codebase_investigator subagent to map X before finalizing the fix") when you want Gemini to reach for it instead of guessing from a shallow read.

Working rules:

  • Prefer explicit prompt contracts over vague nudges.
  • Use stable XML tag names that match the block names from the reference file.
  • Do not raise reasoning or complexity first. Tighten the prompt and verification rules before escalating.
  • Ask Gemini for brief, outcome-based progress updates only when the task is long-running or tool-heavy.
  • Keep claims anchored to observed evidence. If something is a hypothesis, say so.

Prompt assembly checklist:

  1. Define the exact task and scope in <task>.
  2. Choose the smallest output contract that still makes the answer easy to use.
  3. Decide whether Gemini should keep going by default or stop for missing high-risk details.
  4. Add verification, grounding, and safety tags only where the task needs them.
  5. Remove redundant instructions before sending the prompt.

Reusable blocks live in references/gemini-prompt-blocks.md. Concrete end-to-end templates live in references/gemini-prompt-recipes.md. Common failure modes to avoid live in references/gemini-prompt-antipatterns.md.

Read the full file on GitHub · 58 lines

Files

What ships with it

3 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.

Changes

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.

  1. 11d ago First seen · 58 lines · 32 tokens per session scan A 8071fe729dc1

Subscribe to this mod's changes

gemini-3-prompting is a skill published in the GitHub repository m-ghalib/gemini-plugin-cc (19 stars, last pushed 4mo ago), licensed Apache-2.0. It adds 32 tokens to every session and 906 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 78% identical to gpt-5-4-prompting, differing in 37 lines, and is treated as a copy.

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