Literature Review
K-Dense-AI/scientific-agent-skills
Runs systematic, scoping or narrative literature reviews across PubMed, arXiv, bioRxiv and Semantic Scholar, with citation checks and Markdown or PDF output.
A skill your agent uses when making an ICALP (EATCS) theory result independently checkable — writing complete, self-contained proofs in the appendix and a full version (arXiv/ECCC/HAL), pinning any…
Install Icalp Reproducibility
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill icalp-reproducibility -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills icalp-reproducibility --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/ICALP-Skills/skills/icalp-reproducibility .claude/skills/icalp-reproducibility && 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 "icalp-reproducibility" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ICALP-Skills/skills/icalp-reproducibility into .claude/skills/icalp-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "icalp-reproducibility", 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/ICALP-Skills/skills/icalp-reproducibilityType 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 icalp-reproducibility -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills icalp-reproducibility --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/ICALP-Skills/skills/icalp-reproducibility .agents/skills/icalp-reproducibility && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "icalp-reproducibility" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ICALP-Skills/skills/icalp-reproducibility into .agents/skills/icalp-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "icalp-reproducibility", 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 icalp-reproducibility -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills icalp-reproducibility --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/ICALP-Skills/skills/icalp-reproducibility .cursor/skills/icalp-reproducibility && 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 "icalp-reproducibility" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ICALP-Skills/skills/icalp-reproducibility into .cursor/skills/icalp-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "icalp-reproducibility", 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 ICALP-Skills/skills/icalp-reproducibility--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 icalp-reproducibility -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills icalp-reproducibility --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/ICALP-Skills/skills/icalp-reproducibility .gemini/skills/icalp-reproducibility && 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 "icalp-reproducibility" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ICALP-Skills/skills/icalp-reproducibility into .gemini/skills/icalp-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "icalp-reproducibility", 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 icalp-reproducibilityInstalls 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 icalp-reproducibility -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/ICALP-Skills/skills/icalp-reproducibility .github/skills/icalp-reproducibility && 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 "icalp-reproducibility" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ICALP-Skills/skills/icalp-reproducibility into .github/skills/icalp-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "icalp-reproducibility", 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 icalp-reproducibility -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 icalp-reproducibility --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/ICALP-Skills/skills/icalp-reproducibility .opencode/skills/icalp-reproducibility && 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 "icalp-reproducibility" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ICALP-Skills/skills/icalp-reproducibility into .opencode/skills/icalp-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "icalp-reproducibility", 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.
Facts
- Skill name
icalp-reproducibility- GitHub stars
- 1.2k
- Token cost
- ~1.3k tokens
- SKILL.md length
- 521 words
- Files
- 1
- Skills in repo
- 2,387
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when making an ICALP (EATCS) theory result independently checkable — writing complete, self-contained proofs in the appendix and a full version (arXiv/ECCC/HAL), pinning any…
- Making an ICALP (EATCS) theory result independently checkable — writing complete
- SKILL.md covers The full version is the…, Self-contained proof checklist, Reproducible computation, when… and Optional: machine-checked…, plus 3 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Self-contained proofs in the appendix and a full version (arXiv/ECCC/HAL)
What it does
Icalp Reproducibility is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when making an ICALP (EATCS) theory result independently checkable — writing complete, self-contained proofs in the appendix and a full version (arXiv/ECCC/HAL), pinning any computational steps to reproducible certificates, and (optionally) formalizing key theorems in Coq/Lean/Isabelle, since ICALP has no runnable-artifact track and proof verifiability is the analogue of reproducibility.
Its SKILL.md is about 1.3k 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, covering Reproducible research and Academic paper search. It works with arXiv. 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.
When your agent uses it
- Making an ICALP (EATCS) theory result independently checkable — writing complete
- Self-contained proofs in the appendix and a full version (arXiv/ECCC/HAL)
- Pinning any computational steps to reproducible certificates
- (optionally) formalizing key theorems in Coq/Lean/Isabelle
Example prompts
- “/icalp-reproducibility”
Requirements
- Docker
What it can do on your machine
Read from SKILL.md and the folder at commit 932eb23. It shows what the files ask for, not the result of running them.
Tool permissions
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.
Runs code
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.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Icalp Reproducibility loads about 1.3k tokens when it runs. Until then it costs about 104 tokens; SKILL.md has 521 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.
Safety
Auto-check passed
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.
SKILL.md
The full file from brycewang-stanford/Awesome-Journal-Skills at commit 932eb23, republished under its MIT licence (© brycewang-stanford). 521 words, ~1,264 tokens.
Download SKILL.mdSave it as
.claude/skills/icalp-reproducibility/SKILL.md (or your agent's skills folder).- name
- icalp-reproducibility
- description
- Use when making an ICALP (EATCS) theory result independently checkable — writing complete, self-contained proofs in the appendix and a full version (arXiv/ECCC/HAL), pinning any computational steps to reproducible certificates, and (optionally) formalizing key theorems in Coq/Lean/Isabelle, since ICALP has no runnable-artifact track and proof verifiability is the analogue of reproducibility.
ICALP Reproducibility (proof verifiability and the full version)
At a pure-theory venue, "reproducibility" means a referee — and later any reader — can check the proof. ICALP has no artifact-evaluation track and no badges; the deliverable that plays that role is the full version with complete proofs, plus, where relevant, reproducible computational certificates and optional machine formalization. This skill builds that checkability into the paper from the start, because a proof cannot be reconstructed after the fact any more than a lost dataset can.
The full version is the reproducibility story
- The 15-page body sketches; the full version (a clearly labelled appendix at submission, and an arXiv/ECCC/HAL posting at/after notification) contains every proof in full. This is what makes an ICALP result reproducible: an independent expert can verify it end to end.
- Write proofs self-contained: state every lemma the argument uses, prove or cite each, and avoid "it is easy to see" for steps that are not. The test is whether a competent non-author can follow it without asking you.
- Keep the submission appendix and the eventual arXiv version consistent — divergence between "what the referees checked" and "what is public" undermines trust.
Self-contained proof checklist
[ ] Every theorem's proof is present in full somewhere the referee can read it
[ ] Every lemma used is stated and proved or cited to a precise source
[ ] No "omitted" / "similarly" hiding a genuinely hard case
[ ] Constants and asymptotics are traceable (no unexplained factor changes mid-proof)
[ ] Definitions precede use; notation is defined once and used consistently
[ ] The dependency structure of lemmas is clear (nothing circular)Reproducible computation, when a proof uses it
If a proof relies on computation (see icalp-experiments), the computation must be checkable, not
merely asserted:
- Ship code and inputs, or precise pseudocode, in the full version or a referenced public repo.
- Prefer an independently verifiable certificate (UNSAT proof, LP/Farkas witness, explicit witness object) over "our program confirms it."
- Pin solver versions and any random seeds so the check is deterministic.
Optional: machine-checked formalization
ICALP does not require formalization, but a Coq/Lean/Isabelle proof of a central theorem is a strong, increasingly valued signal — especially for intricate combinatorial or semantic arguments:
- Formalize the load-bearing theorem, not the whole paper, and say precisely what is formalized and what is assumed (axioms, unformalized lemmas).
- Archive the development (a public repo, or Software Heritage / Zenodo for a DOI) and reference it in the camera-ready. Do not let it break anonymity during review.
- Be honest about the gap between the paper's statement and the formal statement; an over-claimed formalization is worse than none.
Show full SKILL.md (163 more words)Show less
What ICALP reproducibility is NOT
- It is not a runnable-system artifact, a Docker image of an implementation, or a benchmark
harness — there is no artifact track and no badge to earn (
icalp-artifact-evaluationexplains the distinction). - It is not "available upon request." A proof that only the authors can complete is, for review purposes, not a proof.
- It is not satisfied by an arXiv link alone if that version, too, defers the hard steps.
Worked vignette: an intricate lower bound
A Track A conditional lower bound hinges on a delicate gadget construction. To make it reproducible: prove the gadget's properties in full in the appendix (not "by inspection"); include a small computer-checked verification of the gadget's truth table with a shipped, re-runnable script and its output; post an arXiv full version at notification identical in content to the checked appendix; and, optionally, formalize the core combinatorial lemma in Lean and cite the archived development at camera-ready. State clearly which parts are machine-checked.
Output format
[Full version] complete proofs present (appendix now, arXiv at notification)? gaps: <where>
[Self-containment] lemmas stated+proved/cited; no hidden hard cases? yes/no
[Computation] certificates / reproducible inputs provided where a proof uses computation? n/a or yes/no
[Formalization] none / partial (what theorem, what assumed) / archived+cited
[Anonymity] full version / repo referenced without breaking the blind during review? yes/no
[Fix queue] <ordered: proof completeness, certificates, formalization scope>© 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
Files
Just SKILL.md in ICALP-Skills/skills/icalp-reproducibility of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
Icalp Reproducibility 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 |
|---|---|---|---|---|---|---|
| Icalp Reproducibility this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.3k | Automated safety check: Pass | MIT | |
| Literature ReviewK-Dense-AI/scientific-agent-skills | 48k | 1 repos | ~3.2k | Automated safety check: Notes | MIT | |
| Literature Search Methodologyaiming-lab/AutoResearchClaw | 15k | — | ~709 | Automated safety check: Pass | MIT | |
| Paper LensYSQ-boop/paper-lens | 101 | — | ~1.3k | Automated safety check: Pass | Apache-2.0 | |
| Read arXiv Paperkarpathy/nanochat | 59k | 1 repos | ~494 | Automated safety check: Pass | MIT | |
| Literature Reviewneflibata-feng/MyArxiv-Agent | 126 | 20 repos | ~5.9k | Automated safety check: Notes | MIT |
Similar skills
Literature Search Methodology
aiming-lab/AutoResearchClaw
Lays out a systematic literature review method: PICO-based search strategy, inclusion criteria, PRISMA screening, quality assessment tools and synthesis approaches.
Paper Lens
YSQ-boop/paper-lens
Read and critically analyze one academic paper from an arXiv URL/ID or a local PDF, producing a source-grounded Markdown report that can grow from a quick read into a reviewer-level deep review.
Read arXiv Paper
karpathy/nanochat
Fetches the TeX source of an arXiv paper from its URL, reads it and writes a markdown summary tied to the nanochat project.
Literature Review
neflibata-feng/MyArxiv-Agent
Conduct comprehensive, systematic literature reviews using multiple academic databases (PubMed, arXiv, bioRxiv, Semantic Scholar, etc.).
Openalex Database
neflibata-feng/MyArxiv-Agent
Query and analyze scholarly literature using the OpenAlex database.
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Related
Works with
Categories
Questions about Icalp Reproducibility
What does Icalp Reproducibility do?
A skill your agent uses when making an ICALP (EATCS) theory result independently checkable — writing complete, self-contained proofs in the appendix and a full version (arXiv/ECCC/HAL), pinning any…. Icalp Reproducibility is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when making an ICALP (EATCS) theory result independently checkable — writing complete, self-contained proofs in the appendix and a full version (arXiv/ECCC/HAL), pinning any computational steps to reproducible certificates, and (optionally) formalizing key theorems in Coq/Lean/Isabelle, since ICALP has no runnable-artifact track and proof verifiability is the analogue of reproducibility.
When should I use Icalp Reproducibility?
Icalp Reproducibility fits situations like: making an ICALP (EATCS) theory result independently checkable — writing complete; self-contained proofs in the appendix and a full version (arXiv/ECCC/HAL); pinning any computational steps to reproducible certificates; (optionally) formalizing key theorems in Coq/Lean/Isabelle.
How do I install Icalp Reproducibility in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill icalp-reproducibility -a claude-code`. Or copy the skill folder (ICALP-Skills/skills/icalp-reproducibility in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/icalp-reproducibility in your project. Claude Code loads it when a task matches its description.
How do I install Icalp Reproducibility in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill icalp-reproducibility -a codex`. Or copy the skill folder (ICALP-Skills/skills/icalp-reproducibility in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/icalp-reproducibility in your project. Codex loads it when a task matches its description.
Can I use Icalp Reproducibility in Cursor, Gemini CLI or GitHub Copilot?
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 icalp-reproducibility -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/icalp-reproducibility, .gemini/skills/icalp-reproducibility, .github/skills/icalp-reproducibility and .opencode/skills/icalp-reproducibility in your project.
What does Icalp Reproducibility need to run?
SKILL.md names no scripts, command-line tools or credentials: Icalp Reproducibility is instructions for the agent only. Our summary lists: Docker.
Does Icalp Reproducibility access the network?
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.
Is Icalp Reproducibility safe to install?
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.
What licence does Icalp Reproducibility use?
Icalp Reproducibility is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Icalp Reproducibility use?
About 1.3k tokens (SKILL.md is roughly 5.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Icalp Reproducibility?
Skills that share tags, products or a category with Icalp Reproducibility: Literature Review (K-Dense-AI/scientific-agent-skills, 48k stars), Literature Search Methodology (aiming-lab/AutoResearchClaw, 15k stars), Paper Lens (YSQ-boop/paper-lens, 101 stars) and Read arXiv Paper (karpathy/nanochat, 59k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Icalp Reproducibility?
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.