Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/cnemri/google-genai-skillsnpx agentmods add skills/cnemri/google-genai-skills/deep-researchWrote 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/cnemri/google-genai-skills/deep-research)<a href="https://agentmods.dev/skills/cnemri/google-genai-skills/deep-research"><img src="https://agentmods.dev/badge/skills/cnemri/google-genai-skills/deep-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/cnemri/google-genai-skills/deep-research"><img src="https://agentmods.dev/badge/skills/cnemri/google-genai-skills/deep-research.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 | $0.00033 | $0.00566 |
| Opus 5 | $0.00016 | $0.00283 |
| Sonnet 5 | $0.00007 | $0.00113 |
| Haiku 4.5 | $0.00003 | $0.00057 |
Grade A, and why
deep-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 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.
How it starts
The opening of the file, as written. The whole thing — 67 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Deep Research
Use this skill to conduct deep, autonomous research tasks that require planning, searching, reading, and synthesizing information.
This skill uses the Gemini Deep Research Agent (deep-research-pro-preview-12-2025) via the Interactions API.
Prerequisites
GOOGLE_API_KEY: Required for accessing the Interactions API (currently in Preview via AI Studio).google-genaiSDK v0.3.0+
Usage
Basic Research
Start a research task and stream the results to the console.
uv run skills/deep-research/scripts/research.py "Research the history of RISC-V architecture."
Research with Context (Files or Directories)
Provide local files (PDFs, text) or entire directories for the agent to read and incorporate into its research.
Direct Upload (Best for specific docs):
# Single file
uv run skills/deep-research/scripts/research.py "Analyze this report" --file report.pdf
# Entire directory
uv run skills/deep-research/scripts/research.py "Summarize these meeting notes" --file ./notes/
File Search Store (Best for large corpora):
Use --use-file-store to index files into a searchable store (RAG) instead of uploading them into the context window.
uv run skills/deep-research/scripts/research.py "Find trends in these 1000 PDFs" --file ./large_corpus/ --use-file-store
Saving the Report
Save the final Markdown report to a file.
uv run skills/deep-research/scripts/research.py "Competitive landscape of EV batteries" --output report.md
Continuing Research (Follow-up)
Ask follow-up questions to an existing research session using the Interaction ID (displayed at the start of the previous run).
uv run skills/deep-research/scripts/research.py "Elaborate on the second point about lithium supply." --follow-up "INTERACTION_ID_HERE"
References
How it Works
- Planning: The agent breaks down your prompt into steps.
- Execution: It autonomously searches the web and reads your provided files.
- Resilience: The script automatically reconnects if the long-running stream drops.
- Synthesis: It produces a comprehensive, cited report.
What ships with it
2 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.
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.
- 11d ago First seen · 67 lines · 33 tokens per session scan A 23a21fa8e87b
deep-research is a skill published in the GitHub repository cnemri/google-genai-skills (126 stars, last pushed 7mo ago), licensed MIT. It adds 33 tokens to every session and 566 once invoked, about $0.0002 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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