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 rmedranollamas/research-cli --skill gemini-researchgit clone --depth 1 https://github.com/rmedranollamas/research-cliWrote 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/rmedranollamas/research-cli/gemini-research)<a href="https://agentmods.dev/skills/rmedranollamas/research-cli/gemini-research"><img src="https://agentmods.dev/badge/skills/rmedranollamas/research-cli/gemini-research/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/rmedranollamas/research-cli/gemini-research"><img src="https://agentmods.dev/badge/skills/rmedranollamas/research-cli/gemini-research.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00055 | $0.00322 |
| Opus 5 | $0.00028 | $0.00161 |
| Sonnet 5 | $0.00011 | $0.00064 |
| Haiku 4.5 | $0.00006 | $0.00032 |
Grade A, and why
gemini-research 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 9d 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 Deep Research Skill
Perform deep research on complex topics using the Gemini Interactions API. This skill uses the research CLI to manage long-running research tasks, providing real-time reasoning and comprehensive reports.
Prerequisites
RESEARCH_GEMINI_API_KEY: Required to access the Gemini Interactions API.
Tools
research_run
Start a new deep research task.
query: (Required) The topic or question to research in depth.model: (Optional) The Deep Research agent ID to use (default:deep-research-preview-04-2026; max:deep-research-max-preview-04-2026).
Example:
scripts/research run "The impact of solid-state batteries on the EV industry"
research_list
List recent research tasks and their status.
Example:
scripts/research list
research_show
Show the details and report of a specific research task.
id: (Required) The ID of the research task to display.
Example:
scripts/research show 5
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.
- 9d ago First seen · 49 lines · 55 tokens per session scan A e21017871908
gemini-research is a skill published in the GitHub repository rmedranollamas/research-cli (20 stars, last pushed 2d ago), licensed Apache-2.0. It adds 55 tokens to every session and 322 once invoked, about $0.0003 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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