gemini-prompting

gemini-prompting is a skill for Claude Code from madciapka/gemini-claude-plugin. It costs 29 tokens per session (550 once invoked), scanned A, original, MIT.

Prompt-writing guidance for sending coding, review, diagnosis, or research requests to Gemini inside the Gemini Claude Code plugin.

In plain words
What is it for?
Use it to prepare compact prompts for Gemini, especially when the work needs grounded answers, code changes, reviews, or research.
Why use it?
It helps turn a broad request into a clear task with an explicit expected result and verification rules.

Skill for Claude Code

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

Part of the gemini plugin — 3 skills, 9 commands, 3 agents shipped together

Good fit Use it to prepare compact prompts for Gemini, especially when the work needs grounded answers, code changes, reviews, or research.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/madciapka/gemini-claude-plugin/gemini-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 madciapka/gemini-claude-plugin --skill gemini-prompting
Clone the repo
git clone --depth 1 https://github.com/madciapka/gemini-claude-plugin

Made for: Claude Code.

Or install gemini, the plugin that ships this one along with the rest of its 3 skills, 9 commands, 3 agents.

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-prompting

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

agentmods 80×15 button for gemini-prompting

Your own site · 80×15
<a href="https://agentmods.dev/skills/madciapka/gemini-claude-plugin/gemini-prompting"><img src="https://agentmods.dev/badge/skills/madciapka/gemini-claude-plugin/gemini-prompting.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 29 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 550 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 original No closer match found 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 $0.00029 $0.00550
Opus 5.5 $0.00012 $0.00220
Sonnet 5.5 $0.00006 $0.00110
Haiku 4.5 $0.00003 $0.00055

Measured 2mo ago against content hash a8107df53ee8, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

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 2mo 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.

plugins/gemini/skills/gemini-prompting/SKILL.md · 50 lines

What it actually says

Gemini Prompting

Use this skill when gemini:gemini-rescue needs to shape a prompt before forwarding it to Gemini CLI.

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.
  • Use XML tags consistently so the prompt has stable internal structure.

Default prompt recipe:

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

When to add blocks:

  • Coding or debugging: add verification_loop and completeness_contract.
  • Review: add grounding_rules and output_contract.
  • Research or recommendation tasks: add grounding_rules.
  • Write-capable tasks: add action_safety so Gemini stays narrow and avoids unrelated refactors.

Gemini-specific notes:

  • Gemini CLI has built-in tools: file system read/write, shell execution, web fetch, Google Search. Reference these when relevant to the task.
  • Gemini responds well to structured prompts. Use clear section headers.
  • For code tasks, include the working directory context and relevant file paths.
  • Keep claims anchored to observed evidence. If something is a hypothesis, say so.

Working rules:

  • Prefer explicit prompt contracts over vague nudges.
  • Use stable XML tag names.
  • Do not raise complexity first. Tighten the prompt before escalating.
  • Keep prompts focused and avoid redundant instructions.

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.
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. 2mo ago First seen · 50 lines · 29 tokens per session scan A a8107df53ee8

Subscribe to this mod's changes

gemini-prompting is a skill published in the GitHub repository madciapka/gemini-claude-plugin (8 stars, last pushed 6mo ago), licensed MIT. It adds 29 tokens to every session and 550 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 2026-08-31.

Related

gemini-prompting compared with skills from other repositories

gemini-prompting next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
gemini-promptingmadciapka/gemini-claude-pluginSkill86mo agoMITA29Claude Code
imagegenopenai/codexSkill133kyesterdayApache-2.0A113Codex
playwright-climicrosoft/playwrightSkill99kyesterdayApache-2.0A19Claude Code
local-ai-agentsmicrosoft/ai-agents-for-beginnersSkill79k4d agoMITA200Claude Code, Codex
systematic-debuggingobra/superpowersSkill313k3d agoMITA21Claude Code
next-cache-components-adoptionvercel/next.jsSkill143kyesterdayMITA95Claude Code
next-partial-prefetching-adoptionvercel/next.jsSkill143kyesterdayMITA103Claude Code