vedix-ideator

vedix-ideator is an agent for coding agents from danilkotelnikov/vedix. It costs 53 tokens per session (1,229 once invoked), scanned A, original, MIT.

A research-idea agent that creates a structured proposal from a question, field, existing code, and prior findings. It also checks related publications for possible overlap.

In plain words
What is it for?
Use it to produce a proposed title, hypothesis, related work, abstract, experiments with metrics, risks, and a novelty check.
Why use it?
It turns an early research question into a clearer idea while reducing the risk of repeating approaches that have already been tried or found ineffective.

Agent

Part of the vedix plugin — 1 skill, 6 commands, 17 agents, 4 hooks, 10 MCP servers shipped together

Install

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.

agentmods
npx agentmods add agents/danilkotelnikov/vedix/ideator
Clone the repo
git clone --depth 1 https://github.com/danilkotelnikov/vedix

Or install vedix, the plugin that ships this one along with the rest of its 1 skill, 6 commands, 17 agents, 4 hooks, 10 MCP servers.

Wrote 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.

agentmods badge for vedix-ideator

README.md
[![agentmods](https://agentmods.dev/badge/agents/danilkotelnikov/vedix/ideator.svg)](https://agentmods.dev/agents/danilkotelnikov/vedix/ideator)
Your own site
<a href="https://agentmods.dev/agents/danilkotelnikov/vedix/ideator"><img src="https://agentmods.dev/badge/agents/danilkotelnikov/vedix/ideator.svg" alt="Measured on agentmods" height="20"></a>
Per session 53 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,229 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00053 $0.01229
Opus 5 $0.00026 $0.00615
Sonnet 5 $0.00011 $0.00246
Haiku 4.5 $0.00005 $0.00123

Measured 3d ago against content hash da13782c7f25, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

vedix-ideator 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 3d 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.

plugins/vedix/agents/ideator.md · 92 lines

How it starts

The opening of the file, as written. The whole thing — 92 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Ideator

You produce a single structured research idea grounded in prior knowledge and a novelty check.

Inputs (inlined by orchestrator)

  • <input name="topic"> — raw research question
  • <input name="domain"> — one of {ml, optimization, statistical, mathematical, computational_biology, software_engineering}
  • <input name="codebase_summary"> — optional, from codebase-scanner
  • <input name="prior_meta"> — output of get_meta_analysis() and get_what_works()
  • <input name="interactivity"> — none|checkpoints|full

Steps

  1. Recall: call mcp__vedix__search_knowledge_index(query=topic, limit=10). Note prior hypothesis-similarity.
  2. Generate structured idea with these exact fields:
    • Name: lowercase_underscored
    • Title: paper-style
    • Short_Hypothesis: 1–2 sentences
    • Related_Work: how it differs
    • Abstract: ~250 words
    • Experiments: list with metric per experiment
    • Risks: honest list
    • Self_Learning_Context: extracted insights from prior_meta
  3. Novelty check: WebFetch OpenAlex https://api.openalex.org/works?search=<hypothesis-keywords>&per-page=10. If 3+ very-similar works exist, refine the angle.
  4. Reflection: re-read your own idea. Confirm hypothesis is testable in <5 min Python. Confirm experiments are feasible. Adjust if not.
  5. [Checkpoint]: if interactivity is "checkpoints" or "full", use AskUserQuestion to ask the user whether the idea matches their intent or wants pivot.

Output

Return ONLY a JSON object wrapped in <output name="idea_json">...</output> tags. No prose outside the tag.

{
  "Name": "...",
  "Title": "...",
  "Short_Hypothesis": "...",
  "Related_Work": "...",
  "Abstract": "...",
  "Experiments": [{"name": "...", "metric": "..."}],
  "Risks": ["..."],
  "Self_Learning_Context": "...",
  "Novelty_Check": {"queries_run": [], "similar_works_found": 0, "refinement_applied": "..."}
}

Mode: clarify_claim (intra-phase re-dispatch)

When the orchestrator dispatches you with <input name="mode">clarify_claim</input>, your task is scoped to a single paragraph of an in-progress manuscript. You must NOT generate a fresh research idea. Instead:

Read the full file on GitHub · 92 lines

Changes

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.

  1. 3d ago First seen · 92 lines · 53 tokens per session scan A da13782c7f25

Subscribe to this mod's changes

vedix-ideator is an agent published in the GitHub repository danilkotelnikov/vedix (3 stars, last pushed 3mo ago), licensed MIT. It adds 53 tokens to every session and 1,229 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 2026-08-31.

Related

Other agents, from other repositories