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-supplementarygit 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-supplementary)<a href="https://agentmods.dev/skills/brycewang-stanford/awesome-journal-skills/ase-supplementary"><img src="https://agentmods.dev/badge/skills/brycewang-stanford/awesome-journal-skills/ase-supplementary/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-supplementary"><img src="https://agentmods.dev/badge/skills/brycewang-stanford/awesome-journal-skills/ase-supplementary.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 | $0.00059 | $0.00855 |
| Opus 5.5 | $0.00024 | $0.00342 |
| Sonnet 5.5 | $0.00012 | $0.00171 |
| Haiku 4.5 | $0.00006 | $0.00085 |
Grade A, and why
ase-supplementary 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 — 73 lines — stays where its author put it; the contents beside it link to each section on GitHub.
ASE Supplementary
Split content by decision-criticality. ASE gives you 10 pages of body (plus 2 for references), and reviewers judge the paper on those pages. The artifact and any supplementary material support reproduction and reuse — they do not carry the argument. The failure mode is exiling a decision-critical result to the artifact and assuming reviewers will dig for it; they judge what is in the body.
The decision-criticality rule
- In the body (must be within 10 pages): anything a reviewer needs to accept the paper — the automated task, the technique, the headline results on real subjects, the closest baseline comparison, the key ablation, and the central threats argument.
- In the artifact / supplement: everything needed to reproduce or reuse — full configurations, complete result tables, extra subjects, proofs, additional plots, raw logs, and cached model outputs.
If a result decides acceptance, it lives in the body even if space is tight; cut elsewhere.
What each container is for
| Content | Where | Why |
|---|---|---|
| Task, technique, headline evaluation, closest-baseline comparison, key ablation | Body (≤10 pp) | Decision-critical; reviewers score these |
| Central threats-to-validity argument | Body | Construct/oracle validity is judged, not reproduced |
| Data Availability Statement | Body, after Conclusions, inside 10 pp | Mandatory and reviewed |
| Full config files, seeds, environment | Artifact | Reproduction detail, not an argument |
| Complete/extra result tables, extra subjects | Artifact / supplement | Support, not headline |
| Proofs, derivations too long for the body | Artifact / supplement (if the venue permits) | Verification detail |
| Raw logs, cached LLM outputs, dataset snapshots | Artifact | Provenance and reuse |
The reviewer-behavior reality
- Reviewers may open the artifact to check a claim, but they will not reconstruct a headline result from raw logs. State every acceptance-deciding number in the body with a pointer to where the artifact backs it.
- A pointer to the artifact is a promise the body's claim is verifiable — not a substitute for stating the claim.
- Keep the body self-contained: a reader who never opens the artifact should still be able to judge the contribution.
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 · 73 lines · 59 tokens per session scan A 88c22a04ef02
ase-supplementary is a skill published in the GitHub repository brycewang-stanford/Awesome-Journal-Skills (1,289 stars, last pushed 26d ago), licensed MIT. It adds 59 tokens to every session and 855 once invoked, about $0.0002 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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