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.
npx skills add jqaisystems/jqai-ai-skills --skill research-to-articlegit clone --depth 1 https://github.com/jqaisystems/jqai-ai-skillsWrote 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.
[](https://agentmods.dev/skills/jqaisystems/jqai-ai-skills/research-to-article)<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.
<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>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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00077 | $0.00789 |
| Opus 5.5 | $0.00031 | $0.00316 |
| Sonnet 5.5 | $0.00015 | $0.00158 |
| Haiku 4.5 | $0.00008 | $0.00079 |
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.
How it starts
The opening of the file, as written. The whole thing — 56 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.
- For video-led articles, identify the primary embed separately from supplemental sources and confirm the editorial date policy.
- Use
research-brief-curatorinstead 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.
- For embeds or visual assets, read media and date handling. Record creator credit, source URL, verified source date, purpose, and permission or usage uncertainty.
- 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.
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.
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.
- 12d ago Changed · +4 lines 5894f232d864
- 1mo ago First seen · 52 lines · 77 tokens per session scan A 82053cf39b6b
research-to-article is a skill published in the GitHub repository jqaisystems/jqai-ai-skills (3 stars, last pushed 13d ago), licensed MIT. It adds 77 tokens to every session and 789 once invoked, about $0.0003 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.
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