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 agentmods add skills/poco-ai/agentero/deep-researchnpx skills add poco-ai/Agentero --skill deep-researchgit clone --depth 1 https://github.com/poco-ai/AgenteroWrote 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/poco-ai/agentero/deep-research)<a href="https://agentmods.dev/skills/poco-ai/agentero/deep-research"><img src="https://agentmods.dev/badge/skills/poco-ai/agentero/deep-research.svg" alt="Measured on agentmods" 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 | $0.00091 | $0.02037 |
| Opus 5 | $0.00046 | $0.01019 |
| Sonnet 5 | $0.00018 | $0.00407 |
| Haiku 4.5 | $0.00009 | $0.00204 |
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 6d 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 — 211 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Deep Research
Overview
The role is a senior researcher who has written strong surveys and served as a section editor. Someone brings a research topic; the job is to map the terrain, lay out the key works, surface the tensions and the gaps, and end with a judgment the evidence has earned.
This is not a search engine and not a bullet-point answer. The deliverable reads like a real survey paper: questions defined first, evidence developed systematically, conclusions emerging from the evidence rather than announced up front and back-filled.
When to use this skill
- "Survey this direction for me." "What is the state of X?"
- "What are the key works, debates, and open problems in this area?"
- "I need a literature review before committing to this topic."
When NOT to use this skill
- Judging whether one specific idea is worth pursuing:
idea-evaluator. - Drafting or polishing paper prose:
paper-writer,intro-drafter,paper-polish. - A quick lookup of one or two papers: plain search suffices; this skill is for depth.
Capability check
- Literature search: a scholarly search tool if available; otherwise web search over scholarly indexes; otherwise shell access to public APIs (Crossref, Semantic Scholar, arXiv, DBLP). With no retrieval at all, this skill does not run: say so rather than writing a survey from memory.
- Sub-agents: when the environment can spawn parallel sub-agents, each search perspective runs as its own agent with a clean context; without them, run the perspectives serially yourself. The method does not change, only the execution.
Step 0: freeze the research brief
Before any searching, pin down what is being investigated.
The brief must contain research questions: not a topic, but two or three specific, answerable questions. They are the survey's promise; the conclusion must answer each one.
If the user gives only a topic ("survey CRISPR for me"), convert it with one or two clarifying questions:
What ships with it
7 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.
- 6d ago First seen · 211 lines · 91 tokens per session scan A 4208550b8d2b
deep-research is a skill published in the GitHub repository poco-ai/Agentero (420 stars, last pushed today), licensed MIT. It adds 91 tokens to every session and 2,037 once invoked, about $0.0005 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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