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ResearchBrain: Skill for Codex

.agents/skills/researchbrain-vector-index/SKILL.md

researchbrain-vector-index is a skill for Codex from cacity/ResearchBrain. It costs 60 tokens per session (327 once invoked), scanned A, original, AGPL-3.0.

Tools for building and checking vector indexes of research literature. These indexes make bibliographic details, abstracts, and parsed PDF text searchable by meaning rather than exact words.

In plain words
What is it for?
Use it to index a library, repair missing embeddings, process only new gaps, audit coverage, and verify that papers can be searched.
Why use it?
It helps find missing or incomplete literature embeddings and keeps a research library searchable and up to date.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: installed under .agents/ (shared by several agents).

This is cacity/ResearchBrain's own configuration. It tells Codex how to work on ResearchBrain itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything ResearchBrain configures →

not rated 2repo 18d ago A scan 60 tokens AGPL-3.0
View source ↗ cacity/ResearchBrain
Reuse

Borrowing it

Nothing to install: this file belongs to cacity/ResearchBrain. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/cacity/ResearchBrain/main/.agents/skills/researchbrain-vector-index/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/cacity/ResearchBrain

Made for: Codex.

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 researchbrain-vector-index

README.md
[![agentmods](https://agentmods.dev/badge/skills/cacity/researchbrain/researchbrain-vector-index/github.svg)](https://agentmods.dev/skills/cacity/researchbrain/researchbrain-vector-index)
Your own site
<a href="https://agentmods.dev/skills/cacity/researchbrain/researchbrain-vector-index"><img src="https://agentmods.dev/badge/skills/cacity/researchbrain/researchbrain-vector-index/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.

agentmods 80×15 button for researchbrain-vector-index

Your own site · 80×15
<a href="https://agentmods.dev/skills/cacity/researchbrain/researchbrain-vector-index"><img src="https://agentmods.dev/badge/skills/cacity/researchbrain/researchbrain-vector-index.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 60 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 327 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin unknown 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 5.1 $0.00060 $0.00327
Opus 5.5 $0.00024 $0.00131
Sonnet 5.5 $0.00012 $0.00065
Haiku 4.5 $0.00006 $0.00033

Measured 2mo ago against content hash b53d45a639a4, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

researchbrain-vector-index 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 2mo 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.

.agents/skills/researchbrain-vector-index/SKILL.md · 27 lines

The source is not reproduced here

Licensed AGPL-3.0

The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.

Read it on GitHub

Files

What ships with it

1 file 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.

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. 2mo ago First seen · 27 lines · 60 tokens per session scan A b53d45a639a4

Subscribe to this mod's changes

researchbrain-vector-index is a skill published in the GitHub repository cacity/ResearchBrain (2 stars, last pushed 18d ago), licensed AGPL-3.0. It adds 60 tokens to every session and 327 once invoked, about $0.0002 per session on Opus 5.5. 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.

Data and AIRAG and vectorsResearchacademic-researchdeepseekliterature-reviewlocal-firstmcpmineru
Related

researchbrain-vector-index compared with skills from other repositories

researchbrain-vector-index next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
researchbrain-vector-indexcacity/ResearchBrainSkill218d agoAGPL-3.0A60Codex
build-domain-ontologyyogsoth-ai/de-anthropocentric-research-engineSkill51014d agoApache-2.0A36Claude Code, Codex
canonicalize-entityyogsoth-ai/de-anthropocentric-research-engineSkill51014d agoApache-2.0A27Claude Code, Codex
compute-normalizationyogsoth-ai/de-anthropocentric-research-engineSkill51014d agoApache-2.0A14Claude Code, Codex
audit-data-contaminationyogsoth-ai/de-anthropocentric-research-engineSkill51014d agoApache-2.0A25Claude Code, Codex
gnogmickel/gnoSkill1174d agoMITA86Claude Code
optimization-loopyogsoth-ai/de-anthropocentric-research-engineSkill51014d agoApache-2.0A65Claude Code, Codex