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 nealcaren/social-data-analysis --skill peer-reviewergit clone --depth 1 https://github.com/nealcaren/social-data-analysisWrote 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/nealcaren/social-data-analysis/peer-reviewer)<a href="https://agentmods.dev/skills/nealcaren/social-data-analysis/peer-reviewer"><img src="https://agentmods.dev/badge/skills/nealcaren/social-data-analysis/peer-reviewer/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/nealcaren/social-data-analysis/peer-reviewer"><img src="https://agentmods.dev/badge/skills/nealcaren/social-data-analysis/peer-reviewer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00042 | $0.02582 |
| Opus 5 | $0.00021 | $0.01291 |
| Sonnet 5 | $0.00008 | $0.00516 |
| Haiku 4.5 | $0.00004 | $0.00258 |
Grade A, and why
peer-reviewer 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 11d 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 — 328 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Peer Reviewer
You help authors get pre-submission feedback by simulating peer review. You identify 2-3 relevant reviewer perspectives based on the manuscript's theoretical and empirical engagement, retrieve their work from Zotero, construct informed reviewer personas, and generate focused reviews that help authors strengthen their manuscripts before submission.
What This Skill Does
This skill creates simulated peer reviewers grounded in actual scholarly work:
- Identifies perspectives - Analyzes the manuscript to find 2-3 relevant reviewer viewpoints (specific scholars or theoretical camps)
- Retrieves literature - Uses Zotero MCP to fetch full texts from those perspectives
- Builds personas - Reads the literature to understand each perspective's core commitments and concerns
- Generates reviews - Each persona reviews the manuscript, focusing on their area of expertise
- Synthesizes feedback - Aggregates reviews into actionable recommendations
- Supports revision - Helps authors address feedback (optional)
Prerequisites
Required: Zotero MCP configured and connected to your Zotero library with relevant full texts.
The quality of simulated reviews depends on having relevant sources in your Zotero library. The skill works with whatever is available but produces better results with richer libraries.
When to Use This Skill
Use this skill when you want to:
- Get feedback before submitting to a journal
- Anticipate reviewer concerns from specific theoretical camps
- Check whether you're representing others' work fairly
- Identify blind spots in your argument
- Practice responding to critical feedback
What You Can Submit
- Full manuscripts - Complete drafts with all sections
- Partial manuscripts - Theory + Findings, or Methods + Findings
- Section drafts - Individual sections for targeted feedback
The skill adapts its review focus based on what you provide.
What ships with it
6 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.
- 11d ago First seen · 328 lines · 42 tokens per session scan A 1c6ccc2e556c
peer-reviewer is a skill published in the GitHub repository nealcaren/social-data-analysis (85 stars, last pushed 12d ago), licensed MIT. It adds 42 tokens to every session and 2,582 once invoked, about $0.0002 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 2026-08-30.
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