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research

research is a skill for Codex from vladolaru/claude-code-plugins. It costs 20 tokens per session (988 once invoked), scanned A, original, MIT.

A conversation-to-notes tool that extracts findings from investigations, debugging, and experiments in the current chat.

In plain words
What is it for?
It helps record research results, debugging conclusions, and lessons from trial and error.
Why use it?
It turns useful discoveries buried in a conversation into project knowledge instead of leaving them hard to find or reuse.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: mentions CLAUDE.md; mentions subagents; mentions Claude Code.

not rated 8repo 5d ago A scan SkillSpector: pass 20 tokens original MIT

Good fit It helps record research results, debugging conclusions, and lessons from trial and error.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/vladolaru/claude-code-plugins/research
View source ↗ vladolaru/claude-code-plugins
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.

Any agent
npx skills add vladolaru/claude-code-plugins --skill research
Clone the repo
git clone --depth 1 https://github.com/vladolaru/claude-code-plugins

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 research

README.md
[![agentmods](https://agentmods.dev/badge/skills/vladolaru/claude-code-plugins/research/github.svg)](https://agentmods.dev/skills/vladolaru/claude-code-plugins/research)
Your own site
<a href="https://agentmods.dev/skills/vladolaru/claude-code-plugins/research"><img src="https://agentmods.dev/badge/skills/vladolaru/claude-code-plugins/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.

agentmods 80×15 button for research

Your own site · 80×15
<a href="https://agentmods.dev/skills/vladolaru/claude-code-plugins/research"><img src="https://agentmods.dev/badge/skills/vladolaru/claude-code-plugins/research.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 20 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 988 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. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
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 5.1 $0.00020 $0.00988
Opus 5.5 $0.00008 $0.00395
Sonnet 5.5 $0.00004 $0.00198
Haiku 4.5 $0.00002 $0.00099

Measured 2mo ago against content hash 609097a34e07, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

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 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.

plugins/dex/codex-skills/research/SKILL.md · 94 lines

How it starts

The opening of the file, as written. The whole thing — 94 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Codex Host Adapter

This skill is generated from the canonical Claude Code command named above. To execute it in Codex:

  1. Treat the text supplied after the skill mention as the invocation arguments. Substitute that exact text for ${CODEX_SKILL_ARGUMENTS} before executing shell commands.
  2. Resolve CODEX_PLUGIN_ROOT to the absolute plugin root. The loaded skill directory is <plugin-root>/codex-skills/<skill-name>, so the plugin root is two directories above the directory containing this SKILL.md.
  3. Assign both variables explicitly in any shell call that uses them. Codex does not export these instruction variables automatically.
  4. Use Codex's available user-input and subagent tools when the workflow requests them.
  5. Follow the canonical workflow below without skipping its gates or artifact checks.

Canonical Workflow

$dex:research

Capture research findings from the current conversation. Self-contained - extracts from chat history, no arguments needed. Optional focus hint narrows what to extract.

Step 1: Discover Project Infrastructure

Follow the Project Discovery steps from the knowledge-capture skill.

If .claude/docs/ does not exist, use the host's user-input mechanism:

Question: "No knowledge directory found. Create it?" Options:

  • Yes, create .claude/docs/ - scaffolds learnings/, patterns/, decisions/, research/
  • Not now - abort capture

If "Not now", stop here. If "Yes", create directories with mkdir -p and continue.

Step 2: Extract Research from Conversation

Run the <pre_extraction_analysis> from the knowledge-capture skill on the relevant conversation exchange. If ${CODEX_SKILL_ARGUMENTS} contains a focus hint, narrow extraction to that topic.

If the conversation contains nothing extractable as research (no investigation, no empirical findings), say so briefly and stop. Do not fabricate knowledge.

Following the Knowledge Extraction from Conversation guidance in the knowledge-capture skill:

Read the full file on GitHub · 94 lines

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 · 94 lines · 20 tokens per session scan A 609097a34e07

Subscribe to this mod's changes

research is a skill published in the GitHub repository vladolaru/claude-code-plugins (8 stars, last pushed 5d ago), licensed MIT. It adds 20 tokens to every session and 988 once invoked, about $0.0001 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.

Research
Related

research compared with skills from other repositories

research next to 6 skills from other repositories
ModTypeStarsLast pushLicenceScanTokensWorks with
researchvladolaru/claude-code-pluginsSkill85d agoMITA20Codex
imagegenopenai/codexSkill135ktodayApache-2.0A113Codex
playwright-climicrosoft/playwrightSkill100ktodayApache-2.0A19Claude Code
browser-automationopenclaw/openclawSkill394ktodayMITA36Claude Code
local-ai-agentsmicrosoft/ai-agents-for-beginnersSkill79k4d agoMITA200Claude Code, Codex
systematic-debuggingobra/superpowersSkill316k7d agoMITA21Claude Code
next-cache-components-adoptionvercel/next.jsSkill143ktodayMITA95Claude Code