Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/fabioc-aloha/Alex_Skill_Mallnpx agentmods add skills/fabioc-aloha/alex_skill_mall/research-summarizerWrote 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/fabioc-aloha/alex_skill_mall/research-summarizer)<a href="https://agentmods.dev/skills/fabioc-aloha/alex_skill_mall/research-summarizer"><img src="https://agentmods.dev/badge/skills/fabioc-aloha/alex_skill_mall/research-summarizer/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/fabioc-aloha/alex_skill_mall/research-summarizer"><img src="https://agentmods.dev/badge/skills/fabioc-aloha/alex_skill_mall/research-summarizer.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 | $0.00085 | $0.02085 |
| Opus 5 | $0.00043 | $0.01043 |
| Sonnet 5 | $0.00017 | $0.00417 |
| Haiku 4.5 | $0.00009 | $0.00209 |
Grade A, and why
research-summarizer 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 — 269 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Research Summarizer
Read less. Understand more. Cite correctly.
Structured research summarization workflow that turns dense source material into actionable briefs. Built for product managers, analysts, founders, and anyone who reads more than they should have to.
Not a generic "summarize this" — a repeatable framework that extracts what matters, compares across sources, and formats citations properly.
Slash Commands
| Command | What it does |
|---|---|
/research:summarize |
Summarize a single source into a structured brief |
/research:compare |
Compare 2-5 sources side-by-side with synthesis |
/research:cite |
Extract and format all citations from a document |
When This Skill Activates
Recognize these patterns from the user:
- "Summarize this paper / article / report"
- "What are the key findings in this document?"
- "Compare these sources"
- "Extract citations from this PDF"
- "Give me a research brief on [topic]"
- "Break down this whitepaper"
- Any request involving: summarize, research brief, literature review, citation, source comparison
If the user has a document and wants structured understanding → this skill applies.
Workflow
/research:summarize — Single Source Summary
-
Identify source type
- Academic paper → use IMRAD structure (Introduction, Methods, Results, Analysis, Discussion)
- Web article → use claim-evidence-implication structure
- Technical report → use executive summary structure
- Documentation → use reference summary structure
-
Extract structured brief
Title: [exact title] Author(s): [names] Date: [publication date] Source Type: [paper | article | report | documentation] ## Key Thesis [1-2 sentences: the central argument or finding] ## Key Findings 1. [Finding with supporting evidence] 2. [Finding with supporting evidence] 3. [Finding with supporting evidence] ## Methodology [How they arrived at these findings — data sources, sample size, approach] ## Limitations - [What the source doesn't cover or gets wrong] ## Actionable Takeaways - [What to do with this information] ## Notable Quotes > "[Direct quote]" (p. X)
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 First seen · 269 lines · 85 tokens per session scan A 4719930f2b2e
research-summarizer is a skill published in the GitHub repository fabioc-aloha/Alex_Skill_Mall (4 stars, last pushed yesterday), licensed MIT. It adds 85 tokens to every session and 2,085 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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