Awesome Journal Skills is a collection of agent skill packs tailored to hundreds of academic journals across fields including economics, social science, medicine, science, and engineering. Researchers use the packs for tasks such as choosing topics, designing empirical strategies, preparing tables and figures, submitting papers, and responding to reviewers. The catalogue entries are the project's journal-specific skills and related plugins.
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 brycewang-stanford/Awesome-Journal-Skills --skill amann-topic-selectiongit clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-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/brycewang-stanford/awesome-journal-skills/amann-topic-selection)<a href="https://agentmods.dev/skills/brycewang-stanford/awesome-journal-skills/amann-topic-selection"><img src="https://agentmods.dev/badge/skills/brycewang-stanford/awesome-journal-skills/amann-topic-selection/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/brycewang-stanford/awesome-journal-skills/amann-topic-selection"><img src="https://agentmods.dev/badge/skills/brycewang-stanford/awesome-journal-skills/amann-topic-selection.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 | $0.00087 | $0.01411 |
| Opus 5.5 | $0.00035 | $0.00564 |
| Sonnet 5.5 | $0.00017 | $0.00282 |
| Haiku 4.5 | $0.00009 | $0.00141 |
Grade A, and why
amann-topic-selection 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 1mo 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 — 78 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Topic Selection for an Annals Review (amann-topic-selection)
When to trigger
- You have a candidate literature and need to know whether it is "Annals-shaped"
- A topic feels either too narrow (a single-construct review) or too sprawling (a whole discipline)
- You are deciding between Annals and a sibling outlet — AMR, AMJ, Journal of Management, Journal of Management Studies, or an Annual Review
- The domain is young/fast-moving and you suspect it is not yet mature enough to review for Annals
The five Annals-fit tests
A literature belongs in Annals when it passes all five. Fail one and route accordingly.
- Maturity. There is a body of research — multiple research streams, accumulated findings, recognizable debates — not a handful of recent studies. A domain still being born produces a premature review that dates within a year. (Fails → too young; wait, or place a focused piece elsewhere.)
- Importance / breadth of interest. The questions matter to management and organization scholars broadly, and to allied audiences (organizational psychology, sociology of organizations), not only to a dozen specialists. Annals reaches across the field. (Fails → too niche; a field journal's review section fits better.)
- Fragmentation / need for integration. The literature is scattered, siloed, contradictory, or conceptually muddled — rival constructs, parallel streams that never speak to each other, conflicting evidence. The review's value is the integration, not the inventory. (Fails → already well-synthesized; nothing to add.)
- Integrability. You can see a plausible new organizing logic that would make the fragments cohere — a framework, a typology, a process model, a reconciliation. If you cannot imagine the spine, you have a topic, not an Annals review. (Fails → keep reading, or it is not yet an Annals piece.)
- Tractable scope. One author/team can read and weigh the whole relevant literature in a single ~50-page review (检索于 2026-06；以官网为准). Annals reviews are long but bounded. (Fails → carve a coherent sub-domain.)
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.
- 1mo ago First seen · 78 lines · 87 tokens per session scan A b524483bbfd7
amann-topic-selection is a skill published in the GitHub repository brycewang-stanford/Awesome-Journal-Skills (1,289 stars, last pushed 26d ago), licensed MIT. It adds 87 tokens to every session and 1,411 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 2026-09-15.
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