DeepScientist is a local research studio that manages the cycle from baseline experiments through research findings and paper-ready outputs. Researchers use it to organize autonomous scientific investigations, review progress, and take control when needed. The catalogue add-ons provide workflows and agent integrations for running research projects with it.
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/researai/deepscientist/ideanpx skills add ResearAI/DeepScientist --skill ideagit clone --depth 1 https://github.com/ResearAI/DeepScientistWrote 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/researai/deepscientist/idea)<a href="https://agentmods.dev/skills/researai/deepscientist/idea"><img src="https://agentmods.dev/badge/skills/researai/deepscientist/idea.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 | $0.00026 | $0.14746 |
| Opus 5 | $0.00013 | $0.07373 |
| Sonnet 5 | $0.00005 | $0.02949 |
| Haiku 4.5 | $0.00003 | $0.01475 |
Grade A, and why
idea 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 5d 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 — 1,500 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Idea
Use this skill to turn the current baseline and problem frame into concrete, literature-grounded, frontier-aware, testable directions. The goal is to choose the next executable research route, not to maximize brainstorming volume or reward shallow novelty.
When startup_contract.need_research_paper = false and the quest already has a concrete optimization handle, idea may stop after selecting or seeding a direction and then hand off into optimize instead of insisting on the full paper-oriented ideation loop.
In that algorithm-first case, idea should usually produce a small method-brief frontier and then defer candidate ranking, promotion, and bounded search to optimize.
When doing that handoff, prefer the brief-shaping discipline later used by optimize: clarify the bottleneck and constraints, keep only a small differentiated 2-3 option slate, and hand off a recommended brief rather than a pile of loose intuitions.
Match signals
Use idea when:
- the accepted baseline and metric contract already exist, but the next route is still unresolved
- the current line failed and the quest needs a new falsifiable direction
- the problem is not "build a new module" but "decide what kind of route should be tried next"
- the current bottleneck might be a mechanism problem, an objective mismatch, a measurement/evaluator problem, or an infrastructure constraint that changes what should be tested next
Do not use idea when:
- the baseline gate is still unresolved
- the current board state is too stale or conflicting to say what the mainline actually is
- the next step is already obviously
write,review, orfinalize
If the current board cannot be compressed cleanly, route through decision or intake-audit before widening the frontier.
One-sentence summary
Turn the current objective, board state, and bottleneck into a small differentiated frontier, then select the next falsifiable route.
Control workflow
- Write the objective contract.
Use
references/objective-contract-template.md. Make the real target, trusted proxies, false-progress signals, and hard constraints explicit before generating ideas. Default durable path:artifacts/idea/objective_contract.md. - Write the current board packet.
Use
references/current-board-packet-template.md. Compress the incumbent, latest decisive result, active blocker, and stale routes-to-ignore into one current state surface. Default durable path:artifacts/idea/current_board_packet.md. - Identify the important contradiction and plausible novelty source.
Use
references/high-value-idea-sourcing.md. Start from the most important unresolved contradiction, anomaly, bottleneck, or failure region rather than from a preferred mechanism. - Run a broad, history-aware literature search before proposing serious ideas.
Use
references/related-work-playbook.md,references/research-history-playbook.md, andreferences/literature-survey-template.md. Cover direct in-domain frontier papers, foundational papers, strongest nearby competitors, and cross-domain papers whose mechanisms may translate into the current task. If the runtime prompt explicitly enables cross-quest recall, follow that injected policy before going outside; otherwise stay inside the current quest's memory/artifacts and explicit user-provided files. See playbook §2.1 for the full source-order protocol. If DeepXiv is available, use it for broad paper-centric discovery and citation expansion; otherwise use search engines and citation chaining directly. Do not promote or even seriously shortlist a new idea until the durable survey and closest-prior-work comparison are updated enough to judge novelty and feasibility honestly. - Extract the limitation pattern and novelty opportunity from the survey. Distinguish what is already saturated, what is only a decorative tweak, and what could still support a differentiated route. Default against small local edits unless they are explicitly shown to be the highest-value surviving route.
- Choose the idea family mix.
At minimum, decide whether the current pass should consider some mix of:
- mechanism-family routes
- objective-family routes
- measurement-family routes
- infrastructure-family routes
- Run bounded brainstorming.
Use
references/controlled-brainstorming-playbook.mdwhen the route is not already obvious. Generate a small, meaningfully different slate rather than a pile of micro-variants. Prefer candidate families that could change the conclusion, capability boundary, or paper value materially, not just move a knob. - Write a compact pre-idea draft for the serious surviving candidates.
Use
references/pre-idea-draft-template.md. Normally write drafts for the top1-3candidates, not for the whole raw slate. The draft must surface hidden assumptions, local-optimum lock-in risk, strongest outside-family alternative, strongest rejection case, and the cheapest falsification path before any formal idea submission. Default durable path per candidate:artifacts/idea/pre_idea_drafts/<candidate_id>.md. - Filter aggressively.
Use
references/selection-gate.md. Remove candidates that only improve a surrogate, reopen a stale route without new evidence, violate leakage or submission-time boundaries, or lack a cheap falsification path. - Select and hand off. The selected package must include the route, why now, novelty type, main risk, anti-win condition, core hypothesis, mechanism sketch, strongest falsification experiment, minimal validation, abandonment condition, and the next stage.
What ships with it
13 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.
- references/controlled-brainstorming-playbook.md 2.2 KB
- references/current-board-packet-template.md 2.0 KB
- references/high-value-idea-sourcing.md 4.6 KB
- references/idea-generation-playbook.md 3.7 KB
- references/idea-thinking-flow.md 3.7 KB
- references/literature-survey-template.md 4.0 KB
- references/objective-contract-template.md 2.0 KB
- references/outline-seeding-example.md 4.3 KB
- references/pre-idea-draft-template.md 3.3 KB
- references/related-work-playbook.md 8.2 KB
- references/research-history-playbook.md 3.6 KB
- references/research-outline-template.md 1.4 KB
- references/selection-gate.md 5.4 KB
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.
- 5d ago First seen · 1,500 lines · 26 tokens per session scan A e7f7430dd033
idea is a skill published in the GitHub repository ResearAI/DeepScientist (3,314 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 26 tokens to every session and 14,746 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 2026-08-30.
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