research-to-article

research-to-article is a skill for Codex from jqaisystems/jqai-ai-skills. It costs 77 tokens per session (670 once invoked), scanned A, original, MIT.

A research-and-writing workflow that turns public sources into a traceable article package. It records where important claims came from and separates verified facts from analysis, recommendations, and unresolved points.

In plain words
What is it for?
Use it for researched articles, explainers, comparisons, educational posts, analysis, commentary, and SEO or answer-focused drafts. It can produce source and claim maps, links, metadata, a finished draft, and verification notes.
Why use it?
It helps prevent unsupported statements and makes it easier to check an article before publication. It is intended for current topics, where facts may have changed since older sources were published.

Skill for Codex

Written for Codex: agents/openai.yaml present.

Good fit Use it for researched articles, explainers, comparisons, educational posts, analysis, commentary, and SEO or answer-focused drafts. It can produce source and claim maps, links, metadata, a finished draft, and verification notes.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/jqaisystems/jqai-ai-skills/research-to-article
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 jqaisystems/jqai-ai-skills --skill research-to-article
Clone the repo
git clone --depth 1 https://github.com/jqaisystems/jqai-ai-skills

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-to-article

README.md
[![agentmods](https://agentmods.dev/badge/skills/jqaisystems/jqai-ai-skills/research-to-article/github.svg)](https://agentmods.dev/skills/jqaisystems/jqai-ai-skills/research-to-article)
Your own site
<a href="https://agentmods.dev/skills/jqaisystems/jqai-ai-skills/research-to-article"><img src="https://agentmods.dev/badge/skills/jqaisystems/jqai-ai-skills/research-to-article/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-to-article

Your own site · 80×15
<a href="https://agentmods.dev/skills/jqaisystems/jqai-ai-skills/research-to-article"><img src="https://agentmods.dev/badge/skills/jqaisystems/jqai-ai-skills/research-to-article.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 77 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 670 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 $0.00077 $0.00670
Opus 5 $0.00039 $0.00335
Sonnet 5 $0.00015 $0.00134
Haiku 4.5 $0.00008 $0.00067

Measured 12d ago against content hash 82053cf39b6b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

research-to-article 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 12d 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-to-article/SKILL.md · 52 lines

How it starts

The opening of the file, as written. The whole thing — 52 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Research to Article

Build a finished article from current evidence while keeping facts, analysis, recommendations, and unresolved claims visibly separate.

1. Define the article contract

  • Confirm the topic, audience, practical purpose, time window, desired length, publication type, and required point of view.
  • Identify the intended output: editorial package, full draft, revision, or verification pass.
  • Use research-brief-curator instead when the user wants only a digest, reading queue, or research brief.
  • Preserve an approved angle unless new evidence makes it inaccurate or misleading.

2. Build the source and claim map

  • Browse current public sources whenever the topic includes facts that may have changed.
  • Read references/source-quality.md before selecting evidence.
  • Prefer primary sources, official documentation, original research, standards, transcripts, and direct creator material.
  • Record every material claim with its source, publication date, event date when different, evidence role, and limitations.
  • Separate sourced fact from analysis, inference, scenario, and recommendation.
  • Keep conflicting facts visible until a stronger source or explicit qualification resolves them.

3. Prepare the editorial package

  • Use assets/article-package-template.md.
  • Define the title, practical angle, slug, meta description, audience need, outline, internal-link opportunities, call to action, source credits, and Link Map.
  • Include only sections supported by the source map or clearly labeled as analysis.
  • Ask for a material editorial decision only when the evidence supports multiple incompatible directions.

4. Draft with evidence discipline

  • Put the useful answer early and explain why the evidence matters.
  • Cite material claims close to the wording they support.
  • Attribute preview, reported, estimated, disputed, or creator-tested information precisely.
  • Keep quotations short, necessary, and attributed. Prefer paraphrase with a direct source link.
  • Do not invent facts, quotes, statistics, examples presented as real, source access, product behavior, consensus, or outcomes.
  • Do not turn a single example, testimonial, or small study into a universal claim.

Read the full file on GitHub · 52 lines

Files

What ships with it

3 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. 12d ago First seen · 52 lines · 77 tokens per session scan A 82053cf39b6b

Subscribe to this mod's changes

research-to-article is a skill published in the GitHub repository jqaisystems/jqai-ai-skills (3 stars, last pushed 1mo ago), licensed MIT. It adds 77 tokens to every session and 670 once invoked, about $0.0004 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.

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