Hypothesis Generation
spacering-net/codeg
Structured hypothesis formulation from observations. An agent skill from spacering-net/codeg.
Agent skill
by brycewang-stanford in brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when deciding how code, computations, or data attach to a SODA (ACM-SIAM Symposium on Discrete Algorithms) paper — SODA itself runs no artifact track, so this skill covers…
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill soda-artifact-evaluation -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills soda-artifact-evaluation --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/SODA-Skills/skills/soda-artifact-evaluation .claude/skills/soda-artifact-evaluation && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "soda-artifact-evaluation" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/SODA-Skills/skills/soda-artifact-evaluation into .claude/skills/soda-artifact-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "soda-artifact-evaluation", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/SODA-Skills/skills/soda-artifact-evaluationType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill soda-artifact-evaluation -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills soda-artifact-evaluation --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/SODA-Skills/skills/soda-artifact-evaluation .agents/skills/soda-artifact-evaluation && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "soda-artifact-evaluation" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/SODA-Skills/skills/soda-artifact-evaluation into .agents/skills/soda-artifact-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "soda-artifact-evaluation", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill soda-artifact-evaluation -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills soda-artifact-evaluation --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/SODA-Skills/skills/soda-artifact-evaluation .cursor/skills/soda-artifact-evaluation && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "soda-artifact-evaluation" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/SODA-Skills/skills/soda-artifact-evaluation into .cursor/skills/soda-artifact-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "soda-artifact-evaluation", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/brycewang-stanford/Awesome-Journal-Skills.git --path SODA-Skills/skills/soda-artifact-evaluation--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill soda-artifact-evaluation -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills soda-artifact-evaluation --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/SODA-Skills/skills/soda-artifact-evaluation .gemini/skills/soda-artifact-evaluation && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "soda-artifact-evaluation" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/SODA-Skills/skills/soda-artifact-evaluation into .gemini/skills/soda-artifact-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "soda-artifact-evaluation", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills soda-artifact-evaluationInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill soda-artifact-evaluation -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/SODA-Skills/skills/soda-artifact-evaluation .github/skills/soda-artifact-evaluation && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "soda-artifact-evaluation" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/SODA-Skills/skills/soda-artifact-evaluation into .github/skills/soda-artifact-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "soda-artifact-evaluation", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill soda-artifact-evaluation -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills soda-artifact-evaluation --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/SODA-Skills/skills/soda-artifact-evaluation .opencode/skills/soda-artifact-evaluation && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "soda-artifact-evaluation" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/SODA-Skills/skills/soda-artifact-evaluation into .opencode/skills/soda-artifact-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "soda-artifact-evaluation", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
soda-artifact-evaluationA skill your agent uses when deciding how code, computations, or data attach to a SODA (ACM-SIAM Symposium on Discrete Algorithms) paper — SODA itself runs no artifact track, so this skill covers…
Soda Artifact Evaluation is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when deciding how code, computations, or data attach to a SODA (ACM-SIAM Symposium on Discrete Algorithms) paper — SODA itself runs no artifact track, so this skill covers computer-assisted proof evidence, implementation companions, and when to route the artifact to co-located ALENEX's formal artifact evaluation instead.
Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Research & Science. The repository describes itself as: Journal-specific Claude Code/Codex skill packs covering mainstream journals — AER, QJE, Nature, Cell, 管理世界, 经济研究 & 200+ more — your fast track to getting published. | 覆盖主流期刊的… The licence is MIT.
Read from SKILL.md and the folder at commit 932eb23. It shows what the files ask for, not the result of running them.
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Soda Artifact Evaluation loads about 1.7k tokens when it runs. Until then it costs about 88 tokens; SKILL.md has 834 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from brycewang-stanford/Awesome-Journal-Skills at commit 932eb23, republished under its MIT licence (© brycewang-stanford). 834 words, ~1,724 tokens.
.claude/skills/soda-artifact-evaluation/SKILL.md (or your agent's skills folder).First, the venue truth: SODA has no artifact-evaluation track. Referees judge
proofs, not repositories. But two kinds of computational objects still matter to a
SODA author, and the co-located satellite ALENEX runs a genuine AE process — for
the 2027 cycle, ALENEX's dates were: submission July 20, 2026; notification early
September 2026; artifact submission September 11, 2026; AE rebuttal October 12-14;
AE results by October 16, 2026, with a dedicated HotCRP AE site
(alenex27ae.hotcrp.com; checked 2026-07-08 via search renderings of the SIAM
ALENEX27 pages).
| Situation | Artifact's role | Correct home |
|---|---|---|
| Proof relies on machine computation (case enumeration, SAT/ILP certificate, verified numerics) | Part of the proof — reviewers must be able to check it | The SODA submission itself, described in the paper, archive linked |
| Implementation exists but the claim is the theorem | Supporting color; zero review weight at SODA | arXiv full version appendix + repository; one paragraph in the paper |
| The experiments are the contribution (engineering, tuning, real datasets) | The reviewed object | ALENEX, with its AE process — not SODA |
The routing mistake costs a cycle: an implementation-led paper at SODA reads as a
theorem-light submission; a theorem-led paper at ALENEX reads as an experiment-light
one. soda-experiments covers the boundary in detail.
When a lemma's truth rests on computation, treat the computation like a proof step:
github.com/yourname defeats the author-block scrubbing.A minimal verification bundle that a skeptical theorist can run:
verification/
├── README.md # lemma ↔ computation map; expected output; runtime
├── generate.py # enumerates the finite case space (deterministic)
├── check.py # validates each case; exits nonzero on failure
├── certificates/ # per-case witnesses, checkable independently
└── environment.txt # exact toolchain versionsThe README's first line should be the command that reproduces the check, and the paper should quote the total case count so a re-runner knows when they are done.
Choosing the certificate form is the design decision; everything else is plumbing. Patterns that referees can check without trusting your code:
| Claim shape | Certificate | Independent check |
|---|---|---|
| "No object with property P exists below size k" | Exhaustive enumeration transcript + case count stated in the paper | Re-run enumeration; compare count |
| "Formula/configuration is unsatisfiable" | DRAT or similar proof log from the solver | Standard proof checker, not your solver |
| "This LP/SDP bound holds" | Dual solution with rational entries | Verify feasibility + objective by exact arithmetic |
| "This extremal object exists" | The object itself, in a documented format | Verify its properties directly (cheap direction) |
| "Constant c < 1.4142" | Interval-arithmetic evaluation script | Re-run with a different interval library |
Two disciplines cut referee effort by an order of magnitude: make the checking program trivial even if the searching program was heroic, and put the case count / certificate size in the paper so a verifier knows what "done" looks like before starting.
If the artifact is the point, the ALENEX pipeline gives it real review: artifacts are submitted after paper notification (September 11, 2026 for the 2027 cycle), evaluated with a rebuttal round in mid-October, and the results feed the final paper. Practical notes for a SODA-adjacent group:
A theory referee meeting a machine-checked lemma asks three questions in order, and the paper should answer them in the same order: Is the reduction from lemma to finite check proved? (prose, in the paper, no code involved); Could the check be wrong? (certificates checkable by independent tools answer this; "our program says so" does not); Can I re-run it before my review is due? (state the runtime — an hour on a laptop invites verification, a week on a cluster invites suspicion). Papers that answer all three convert the computational step from a reviewing liability into a fully-verified component; papers that answer none of them get reviews containing the phrase "we were unable to verify," which at a proofs-are-the-product venue is close to fatal.
[Artifact routing] SODA-internal proof evidence / arXiv companion / ALENEX AE
[Proof-dependence audit] <claims whose truth relies on computation, and their certificates>
[Anonymity state] <archive hosting compatible with double-blind: yes/no>
[AE calendar] <applicable ALENEX dates, owner per deadline>
[Release plan] <post-acceptance versioning and DOI>© brycewang-stanford, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in SODA-Skills/skills/soda-artifact-evaluation of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Soda Artifact Evaluation next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Soda Artifact Evaluation this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.7k | Automated safety check: Pass | MIT | |
| Hypothesis Generationspacering-net/codeg | 3.9k | 14 repos | ~3.6k | Automated safety check: Notes | MIT | |
| GitHub Deep Researchbytedance/deer-flow | 84k | 4 repos | ~1.3k | Automated safety check: Pass | MIT | |
| Nature Paper CardYuan1z0825/nature-skills | 47k | 2 repos | ~2.1k | Automated safety check: Pass | Apache-2.0 | |
| Content Research Writerweapp-tailwindcss/weapp-tailwindcss | 1.9k | 25 repos | ~3.5k | Automated safety check: Pass | MIT | |
| Last30daysmvanhorn/last30days-skill | 64k | — | ~7.9k | Automated safety check: Notes | MIT |
spacering-net/codeg
Structured hypothesis formulation from observations. An agent skill from spacering-net/codeg.
bytedance/deer-flow
Researches a GitHub repository over four rounds using the GitHub API and web search, then writes a structured markdown report with timeline, metrics and Mermaid diagrams.
Yuan1z0825/nature-skills
Builds a structured deep-reading card for one scientific paper, covering methods, how experiments support claims, limitations and research ideas, with a script to prepare the source.
weapp-tailwindcss/weapp-tailwindcss
Assists in writing high-quality content by conducting research, adding citations, improving hooks, iterating on outlines, and providing real-time feedback on each section.
mvanhorn/last30days-skill
Research what people actually say about any topic in the last 30 days.
spacering-net/codeg
Structured manuscript/grant review with checklist-based evaluation.
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when running and reporting the analysis for an Annals of the American Association of Geographers manuscript — spatial statistics and modeling, remote-sensing accuracy, or…
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when positioning an Annals of the American Association of Geographers manuscript in the literature — engaging geographic scholarship across the relevant area and the…
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when responding to an Annals of the American Association of Geographers decision letter (major/minor revision) — building a point-by-point response to the subject editor and…
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when defending the research design of an Annals of the American Association of Geographers manuscript — spatial/quantitative analysis and GIScience, remote-sensing and…
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when you need to understand how the Annals of the American Association of Geographers evaluates a manuscript — double-anonymous review routed through a subject editor by…
brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when running the final pre-submission preflight for the Annals of the American Association of Geographers via ScholarOne Manuscripts — area/article-type selection…
Categories
A skill your agent uses when deciding how code, computations, or data attach to a SODA (ACM-SIAM Symposium on Discrete Algorithms) paper — SODA itself runs no artifact track, so this skill covers…. Soda Artifact Evaluation is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when deciding how code, computations, or data attach to a SODA (ACM-SIAM Symposium on Discrete Algorithms) paper — SODA itself runs no artifact track, so this skill covers computer-assisted proof evidence, implementation companions, and when to route the artifact to co-located ALENEX's formal artifact evaluation instead.
Soda Artifact Evaluation fits situations like: deciding how code; data attach to a SODA (ACM-SIAM Symposium on Discrete Algorithms) paper — SODA itself runs no artifact track; so this skill covers computer-assisted proof evidence; implementation companions.
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill soda-artifact-evaluation -a claude-code`. Or copy the skill folder (SODA-Skills/skills/soda-artifact-evaluation in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/soda-artifact-evaluation in your project. Claude Code loads it when a task matches its description.
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill soda-artifact-evaluation -a codex`. Or copy the skill folder (SODA-Skills/skills/soda-artifact-evaluation in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/soda-artifact-evaluation in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill soda-artifact-evaluation -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/soda-artifact-evaluation, .gemini/skills/soda-artifact-evaluation, .github/skills/soda-artifact-evaluation and .opencode/skills/soda-artifact-evaluation in your project.
SKILL.md names no scripts, command-line tools or credentials: Soda Artifact Evaluation is instructions for the agent only.
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
Soda Artifact Evaluation is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.7k tokens (SKILL.md is roughly 6.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Soda Artifact Evaluation: Hypothesis Generation (spacering-net/codeg, 3.9k stars), GitHub Deep Research (bytedance/deer-flow, 84k stars), Nature Paper Card (Yuan1z0825/nature-skills, 47k stars) and Content Research Writer (weapp-tailwindcss/weapp-tailwindcss, 1.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,231 GitHub stars. The repository holds 2,387 skills in this directory. The repository was last updated on September 27, 2026.
Source: brycewang-stanford/Awesome-Journal-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.