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 ase-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/ase-topic-selection)<a href="https://agentmods.dev/skills/brycewang-stanford/awesome-journal-skills/ase-topic-selection"><img src="https://agentmods.dev/badge/skills/brycewang-stanford/awesome-journal-skills/ase-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/ase-topic-selection"><img src="https://agentmods.dev/badge/skills/brycewang-stanford/awesome-journal-skills/ase-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 | $0.00079 | $0.01466 |
| Opus 5.5 | $0.00032 | $0.00586 |
| Sonnet 5.5 | $0.00016 | $0.00293 |
| Haiku 4.5 | $0.00008 | $0.00147 |
Grade A, and why
ase-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 — 94 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ASE Topic Selection
Decide the venue before drafting. ASE — the IEEE/ACM International Conference on Automated Software Engineering — is the home for research that automates software-engineering tasks: the analysis, design, implementation, testing, comprehension, and maintenance of software, and increasingly the two-way street of AI for SE and SE for AI. Its reviewers read for a technique or tool that automates something, evaluated on real subjects. A paper whose real center is a broad empirical observation, a testing-theory result, or a pure ML advance is respected and then rejected as off-center.
The routing question that matters most
The decisive ASE question is not "is this SE?" but "is the contribution an automation — a technique or tool that does an SE task a human or a weaker tool did before?" If the beating heart of the paper is a new automated mechanism (an analysis, a generator, a synthesizer, a repair technique, a learned model applied to an SE task), ASE is a natural home. If the heart is a finding, a theory, or a measurement study, a sibling fits better — even when the topic overlaps.
Sibling-venue routing table
| Signal in your project | Better home | Why |
|---|---|---|
| Core is a technique/tool that automates an SE task, evaluated on real systems | ASE | Automated software engineering is its named center; dual IEEE/ACM, IEEE-Xplore+ACM-DL proceedings |
| Broad empirical or foundational SE contribution; the lesson is a finding, not a tool | ESEC/FSE | The general-SE flagship; PACMSE journal model, empirical breadth |
| Equally broad SE technique, but ICSE's cycle/stage fits and you want its reach | ICSE | The other general-SE flagship; different calendar and (IEEE-side) format |
| Depth in testing theory, program analysis foundations, or fault detection | ISSTA | Deeper testing/analysis expertise, round-based reviewing |
| The automated mechanism is a program-language/compiler advance | PLDI / OOPSLA / POPL | PL venues own the language-mechanism contribution |
| The contribution is a new model/architecture; the SE task is a benchmark | an ML venue | Model-as-contribution routes out of SE |
| Study too long or too nuanced for the page budget | TSE / TOSEM / EMSE | Journals with no page ceiling; some feed ASE's Journal-First track |
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 · 94 lines · 79 tokens per session scan A fc0ee20330cf
ase-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 79 tokens to every session and 1,466 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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