Skills DirectorySkills Directory
SkillsLearnSecurityCategoriesDocsCommunityBlog
Sign InSubmit Skill
Skills Directory

Security-tested agent skills for Claude, coding agents, and AI workflows.

Directory

  • Browse Skills
  • All Skills A–Z
  • Claude Skills
  • Claude Code Skills
  • Agent Skills
  • Categories
  • Authors
  • Submit a Skill

Learn

  • Learn Hub
  • Install Claude Skills
  • Write SKILL.md
  • Skills vs MCP
  • Directories Compared

Security

  • Security
  • Methodology
  • Secure Claude Skills
  • Security Badges

Company

  • About
  • Community
  • Blog
  • API Docs
  • Advertise

2026 Skills Directory. All rights reserved.

ProTermsPrivacyRefunds
Back to skills

Ahr Review Process

ASecurity

Use to understand how The American Historical Review (AHR) evaluates a manuscript — double-blind anonymous review by at least six scholars, a six-to-eight-month timeline, an 8-10% acceptance rate, and the large commissioned book/media review section. Sets expectations and shapes the article to survive review; it does not contact editors.

1,052 stars
0 votes
0 copies
1 views
Added 6/4/2026
ai-agentsgogit

Security Analysis

A100/100

Scanned 6/4/2026

Install to Claude Code

$npx -y skills add brycewang-stanford/Awesome-Journal-Skills --skill ahr-review-process --agent claude-code

Installs into .claude/skills of the current project.

Are you the author of Ahr Review Process?

Add the live security badge to your README — it updates automatically with every re-scan.

Security grade badge for Ahr Review Process
[![Security: A — Skills Directory](https://www.skillsdirectory.com/api/skills/brycewang-stanford-ahr-review-process/badge)](https://www.skillsdirectory.com/skills/brycewang-stanford-ahr-review-process)

More formats (shields.io, HTML) on the badges page.

Download with Pro
Files
SKILL.md
---
name: ahr-review-process
description: Use to understand how The American Historical Review (AHR) evaluates a manuscript — double-blind anonymous review by at least six scholars, a six-to-eight-month timeline, an 8-10% acceptance rate, and the large commissioned book/media review section. Sets expectations and shapes the article to survive review; it does not contact editors.
---

# Review Process (ahr-review-process)

Knowing how the AHR screens and decides lets you pre-empt failure modes before submitting. The AHR is
**anonymous (double-blind)**, reviews intensively, and accepts only a small fraction of submissions, so
the article must be significant, well-argued, and source-criticized before it goes out.

## When to trigger

- Before submitting, to stress-test against the journal's bar
- Setting realistic expectations for outcome and timeline
- Understanding what reviewers weigh in a history article
- Distinguishing the **research-article** track from the **review** (book/media) section

## How AHR review works (verify volatile figures on the official page)

1. **Anonymous review.** The manuscript is masked; reviewers do not know the author. Prepare
   accordingly (see `ahr-submission`).
2. **Editorial screening, then external review.** A portion of submissions advance to full external
   review (roughly a quarter), recommended by board members and sent to specialists.
3. **At least six readers.** "Every article published in the *AHR* has been reviewed by at least six
   scholars, and sometimes more" — an unusually intensive process. Expect demanding, expert reports.
4. **Timeline.** The editors aim to decide within **six to eight months** of submission.
5. **Acceptance rate.** Roughly **8–10%** of about 360 submissions per year. Most strong papers are
   rejected; an R&R is a real signal.
6. **Exclusivity.** No concurrent submission elsewhere, and nothing already published or in press.

## What reviewers weigh in a history article

- **Significance** across fields (avoids "interesting but narrow").
- **Historiographical intervention** — does it engage and revise the relevant scholarship?
- **Sources and source criticism** — are the primary materials adequate and read critically?
- **Interpretation** — is the reading persuasive, alert to contingency, free of anachronism?
- **Craft** — is it clear, well-structured, and correctly annotated?

## The review (book/media) section is separate

- The AHR runs a large **commissioned** review section (~650 reviews/year) covering books, exhibits,
  films, podcasts, video games, and digital history. Reviews are **invited** — "we do not assign book
  reviews to scholars at their own suggestion." You may propose to review, but assignment is by staff
  judgment; this is distinct from submitting a research article.

## Anti-patterns

- Submitting a narrowly specialist piece to a generalist flagship
- Thin source criticism or an under-argued, descriptive draft
- Expecting a fast decision — plan around six to eight months
- Submitting concurrently elsewhere (breaks the exclusivity rule)
- Sending an unsolicited book review (reviews are commissioned)

## Output format

```
【Significance】general enough for a flagship? [Y/N]
【Historiography engaged?】[Y/N]
【Sources criticized?】[Y/N]
【Anonymized for double-blind?】[Y/N]
【Realistic outcome】reject / R&R / (rare) accept — timeline 6-8 months
【Next】ahr-submission (or ahr-revision-and-response if decided)
```

## Supplementary resources

- [`../../resources/official-source-map.md`](../../resources/official-source-map.md) — review model, reviewer count, timeline, acceptance rate, reviews section
- [`../../resources/external_tools.md`](../../resources/external_tools.md) — process and portal summary

Attribution

brycewang-stanfordbrycewang-stanford
View sourceMore from brycewang-stanford →
SSkills DirectorySkills Directory

Know which skills are safe — weekly.

Best new skills + every skill we flagged as malicious. From the team that scanned 103,619.

Join free

Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.

Comments (0)

No comments yet. Be the first to comment!

SSkills DirectorySkills Directory

Know which skills are safe — weekly.

Best new skills + every skill we flagged as malicious. From the team that scanned 103,619.

Join free

Related Skills

Caveman

Ultra-compressed communication mode that cuts output tokens while keeping technical accuracy. Levels: lite, full, ultra and the wenyan variants. Use for /caveman, "caveman mode", "talk like caveman", "be brief" or "less tokens".

1074701 votes

Hyperplan

Adversarial multi-agent planning skill. Self-orchestrates 5 hostile category members (unspecified-low, unspecified-high, deep, ultrabrain, artistry) via team-mode for ruthless cross-critique debate, distills only the defensible insights, then MANDATORILY hands the distilled insight bundle to the `plan` agent for executable plan formalization. Use when planning needs maximum rigor and surfacing of weak assumptions, blind spots, and over-engineering. Triggers: 'hyperplan', 'hpp', '/hyperplan', ...

693161 votes

Mcp Code Execution

Routes multi-tool workflows through MCP servers for large datasets and pipelines. Use when Bash tool overhead is limiting throughput on data-heavy tasks.

3351 votes

catchup

Recovers the conversation and failed tool calls of a previous Codex, Claude Code, Antigravity, Cline, Copilot CLI, Cursor, DeepSeek Harness, Kimi, OpenCode, Pi Agent, or ZCode session. Use when the user says "catch up", "what did the last session do", "get me up to speed", "I switched agents", asks to recover/summarize a previous session before continuing, or asks to diagnose or report a catchup failure. Do NOT use for the current conversation, git history, or any non-agent log.

691 votes

math-skill

A comprehensive mathematical reasoning skill for AI assistants — handles arithmetic to research-level problems with rigorous step-by-step reasoning, systematic verification, and transparent uncertainty handling

381 votes
View all in ai-agents →