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 madciapka/gemini-claude-plugin --skill gemini-promptinggit clone --depth 1 https://github.com/madciapka/gemini-claude-pluginWrote 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/madciapka/gemini-claude-plugin/gemini-prompting)<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.
<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>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 | $0.00029 | $0.00550 |
| Opus 5 | $0.00015 | $0.00275 |
| Sonnet 5 | $0.00006 | $0.00110 |
| Haiku 4.5 | $0.00003 | $0.00055 |
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.
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_loopandcompleteness_contract. - Review: add
grounding_rulesandoutput_contract. - Research or recommendation tasks: add
grounding_rules. - Write-capable tasks: add
action_safetyso 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:
- Define the exact task and scope in
<task>. - Choose the smallest output contract that still makes the answer easy to use.
- Decide whether Gemini should keep going by default or stop for missing high-risk details.
- Add verification, grounding, and safety tags only where the task needs them.
- Remove redundant instructions before sending the prompt.
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 · 50 lines · 29 tokens per session scan A a8107df53ee8
gemini-prompting is a skill published in the GitHub repository madciapka/gemini-claude-plugin (8 stars, last pushed 4mo ago), licensed MIT. It adds 29 tokens to every session and 550 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 2026-08-31.
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