research

research is a skill for Codex from arch3rPro/Ark-Space. It costs 44 tokens per session (1,044 once invoked), scanned A, original, MIT.

A research skill for producing a cited summary from multiple public sources through ArkSpace. It defines the question, scope, comparisons, exclusions, and evidence requirements before gathering sources.

In plain words
What is it for?
Use it for multi-source reports such as comparisons, market or technology landscapes, and decision-focused research.
Why use it?
Research across many sources can become unfocused or hard to verify. This workflow bounds the investigation and connects important claims to citations.

Skill for Codex

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

Good fit Use it for multi-source reports such as comparisons, market or technology landscapes, and decision-focused research.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/arch3rpro/ark-space/research
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 arch3rPro/Ark-Space --skill research
Clone the repo
git clone --depth 1 https://github.com/arch3rPro/Ark-Space

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/arch3rpro/ark-space/research/github.svg)](https://agentmods.dev/skills/arch3rpro/ark-space/research)
Your own site
<a href="https://agentmods.dev/skills/arch3rpro/ark-space/research"><img src="https://agentmods.dev/badge/skills/arch3rpro/ark-space/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/arch3rpro/ark-space/research"><img src="https://agentmods.dev/badge/skills/arch3rpro/ark-space/research.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 44 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,044 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 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 $0.00044 $0.01044
Opus 5.5 $0.00018 $0.00418
Sonnet 5.5 $0.00009 $0.00209
Haiku 4.5 $0.00004 $0.00104

Measured 3d ago against content hash e7b546a8fc9f, 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 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.

skills/research/SKILL.md · 77 lines

How it starts

The opening of the file, as written. The whole thing — 77 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Research

Use the installed arks CLI for long-running, Provider-backed synthesis. Start with research.run, then review its consequential conclusions and fill specific evidence gaps. Search and Fetch support that review; they are not a substitute for the initial Research run. The web Skill can guide those operations, but the review instructions below also work without an installed sibling Skill.

Readiness

  1. Run arks --version. If unavailable, explain that ArkSpace CLI is required and ask before changing the user's environment.
  2. Run arks doctor --json when Provider readiness is unknown. If credentials are missing, direct the human to run arks setup in a trusted local terminal. Never ask for an API key in conversation or place one in a command argument.
  3. Ask before changing configuration or the user's environment. Force Exa or Tavily only when the user requests it; otherwise preserve configured key handling and safe fallback.

Scope

Write a concrete prompt that states:

  • the question, audience, intended decision, and what a useful answer must establish;
  • date, geography, or entity boundaries;
  • required comparisons and exclusions;
  • source requirements for consequential claims;
  • the desired report structure and any deadline.

Clarify only missing information that would change the investigation or deliverable; otherwise state assumptions and proceed. Scope the extra source-review calls separately from the remote job using the bounds in Evidence review.

Choose concise for a narrow answer, standard for an ordinary multi-source report, and deep only when broader coverage justifies higher latency and Provider cost. Depth selects Provider quality controls, not a guaranteed number of research passes. Protocol v1 has an operation timeout, not a common hard cost or query budget.

Run

Create a temporary Protocol v1 request:

{
  "protocolVersion": 1,
  "capability": "research.run",
  "input": {
    "prompt": "Compare the current authentication models of these APIs. Prefer official documentation, cite material claims, and identify unresolved differences.",
    "depth": "standard",
    "timeoutMs": 600000
  }
}

Read the full file on GitHub · 77 lines

Files

What ships with it

4 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.

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 Changed · +5 lines e7b546a8fc9f
  2. 1mo ago Changed · +3 lines 5f33d219953b
  3. 1mo ago First seen · 69 lines · 44 tokens per session scan A a1d070f14452

Subscribe to this mod's changes

research is a skill published in the GitHub repository arch3rPro/Ark-Space (1 stars, last pushed 3d ago), licensed MIT. It adds 44 tokens to every session and 1,044 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 2026-09-10.

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