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.
git 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/plugins/brycewang-stanford/awesome-journal-skills/acm-ccs-skills)<a href="https://agentmods.dev/plugins/brycewang-stanford/awesome-journal-skills/acm-ccs-skills"><img src="https://agentmods.dev/badge/plugins/brycewang-stanford/awesome-journal-skills/acm-ccs-skills/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/plugins/brycewang-stanford/awesome-journal-skills/acm-ccs-skills"><img src="https://agentmods.dev/badge/plugins/brycewang-stanford/awesome-journal-skills/acm-ccs-skills.svg" alt="Reviewed on agentmods" width="80" height="20"></a>Grade A, and why
ACM-CCS-Skills 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.
What it actually says
{
"name": "acm-ccs-skills",
"description": "A 12-skill depth pack for ACM CCS submissions: venue routing across the security big four, HotCRP dual-cycle submission checks, rebuttal strategy, threat-model writing, adaptive-attack evaluation, artifact evaluation with ACM badges, ethics appendices, and ACM camera-ready work. Grounded in the official CCS 2026 CFP, call for artifacts, HotCRP cycle sites, and SIGSAC pages checked on 2026-07-08.",
"version": "1.1.0",
"author": {
"name": "Bryce Wang",
"email": "[email protected]"
},
"license": "MIT",
"homepage": "https://github.com/brycewang-stanford/awesome-journal-skills",
"repository": "https://github.com/brycewang-stanford/awesome-journal-skills",
"keywords": [
"acm-ccs",
"computer-security",
"sigsac",
"conference-submission",
"hotcrp",
"threat-model",
"artifact-evaluation",
"responsible-disclosure"
]
}
What it installs
The manifest is a name and a version. 12 skills travel with it, and installing the plugin installs all of them — 746 tokens a session between them. Each is measured on its own page, and each can be installed alone.
- Skill ccs-artifact-evaluation A 69 tokens
- Skill ccs-author-response A 58 tokens
- Skill ccs-camera-ready A 67 tokens
- Skill ccs-experiments A 61 tokens
- Skill ccs-related-work A 68 tokens
- Skill ccs-reproducibility A 58 tokens
- Skill ccs-review-process A 55 tokens
- Skill ccs-submission A 69 tokens
- Skill ccs-supplementary A 58 tokens
- Skill ccs-topic-selection A 56 tokens
- Skill ccs-workflow A 67 tokens
- Skill ccs-writing-style A 60 tokens
What ships with it
1 file beside plugin.json 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 · 23 lines scan A 5d3ab616ba3d
ACM-CCS-Skills is a plugin published in the GitHub repository brycewang-stanford/Awesome-Journal-Skills (1,090 stars, last pushed 15d ago), licensed MIT. Its token cost is not measured: this kind of file is read by the harness, not the model. 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.
Other plugins, from other repositories
marketplace
239 Claude skills for academic research, organized by domain.
alterlab-core
Core research-to-publication pipeline plus teaching and thesis tools (10 skills).
alterlab-data-science
Machine learning and statistics (scikit-learn, PyTorch, transformers, SHAP) (22 skills).
paper-submission
The post-draft lifecycle nobody else covers: CFP requirement parsing, venue/track selection and tailoring, desk-reject preflight, anonymization, review triage, benchmark scorecards, rebuttals in all three real formats, and camera-ready rails for ACM and IEEE.
paper-search
Key-free scholarly search and legal open-access fetching: DBLP, Crossref, Semantic Scholar, arXiv, Unpaywall — plus citation verification and exemplar study.
paper-writing
Venue-aware academic writing: reflection passes, abstracts, related work, literature reviews, prose polish, and author/venue style matching grounded in verified citations.