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ck:research

ck:research is a skill for Claude Code from manhvann/codexkit. It costs 35 tokens per session (1,440 once invoked), scanned A, original, MIT.

A method for researching technical solutions, comparing architectures, and examining requirements, security, scalability, and maintainability.

In plain words
What is it for?
Use it to evaluate technologies, design systems, gather requirements, compare approaches, and document research findings.
Why use it?
It provides a structured way to investigate choices while keeping solutions focused and avoiding unnecessary complexity.

Skill for Claude Code

Written for Claude Code: argument-hint in frontmatter. Also seen: reads ~/.codex paths; installed under .agents/ (shared by several agents); mentions Codex.

not rated 89repo 1mo ago A scan SkillSpector: pass 35 tokens original MIT

Good fit Use it to evaluate technologies, design systems, gather requirements, compare approaches, and document research findings.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/manhvann/codexkit/research
View source ↗ manhvann/codexkit
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 manhvann/codexkit --skill research
Clone the repo
git clone --depth 1 https://github.com/manhvann/codexkit

Made for: Claude Code.

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 ck:research

README.md
[![agentmods](https://agentmods.dev/badge/skills/manhvann/codexkit/research/github.svg)](https://agentmods.dev/skills/manhvann/codexkit/research)
Your own site
<a href="https://agentmods.dev/skills/manhvann/codexkit/research"><img src="https://agentmods.dev/badge/skills/manhvann/codexkit/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 ck:research

Your own site · 80×15
<a href="https://agentmods.dev/skills/manhvann/codexkit/research"><img src="https://agentmods.dev/badge/skills/manhvann/codexkit/research.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 35 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,440 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 $0.00035 $0.01440
Opus 5.5 $0.00014 $0.00576
Sonnet 5.5 $0.00007 $0.00288
Haiku 4.5 $0.00003 $0.00144

Measured 1mo ago against content hash d4ff1a574e62, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

ck: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 1mo 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/research/SKILL.md · 172 lines

How it starts

The opening of the file, as written. The whole thing — 172 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Research

Research Methodology

Always honoring YAGNI, KISS, and DRY principles. Be honest, be brutal, straight to the point, and be concise.

Phase 1: Scope Definition

First, you will clearly define the research scope by:

  • Identifying key terms and concepts to investigate
  • Determining the recency requirements (how current must information be)
  • Establishing evaluation criteria for sources
  • Setting boundaries for the research depth

Phase 2: Systematic Information Gathering

You will employ a multi-source research strategy:

  1. Search Strategy:

    • Gemini Toggle: Check .codex/.ck.json (or ~/.codex/.ck.json) for skills.research.useGemini (default: true). If false, skip Gemini and use available web search.
    • Gemini Model: Read from .codex/.ck.json: gemini.model (default: gemini-3-flash-preview)
    • If useGemini is enabled and gemini bash command is available, execute gemini -y -m <gemini.model> "...your search prompt..." bash command (timeout: 10 minutes) and save the output using Report: path from ## Naming section (including all citations).
    • If useGemini is disabled or gemini bash command is not available, use available web search tool.
    • Run multiple gemini bash commands or available web search tools in parallel to search for relevant information.
    • Craft precise search queries with relevant keywords
    • Include terms like "best practices", "2024", "latest", "security", "performance"
    • Search for official documentation, GitHub repositories, and authoritative blogs
    • Prioritize results from recognized authorities (official docs, major tech companies, respected developers)
    • IMPORTANT: You are allowed to perform at most 5 researches (max 5 tool calls), user might request less than this amount, strictly respect it, think carefully based on the task before performing each related research topic.

  2. Deep Content Analysis:

    • When you found a potential Github repository URL, use ck:docs-seeker skill to find read it.
    • Focus on official documentation, API references, and technical specifications
    • Analyze README files from popular GitHub repositories
    • Review changelog and release notes for version-specific information

Read the full file on GitHub · 172 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. 1mo ago First seen · 172 lines · 35 tokens per session scan A d4ff1a574e62

Subscribe to this mod's changes

ck:research is a skill published in the GitHub repository manhvann/codexkit (89 stars, last pushed 1mo ago), licensed MIT. It adds 35 tokens to every session and 1,440 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 2026-08-30.

PlanningResearch
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