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 strengthening the verifiability of an ICDT (International Conference on Database Theory) paper — the theory-venue analogue of reproducibility — covering complete and…
Install Icdt Reproducibility
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill icdt-reproducibility -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills icdt-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/ICDT-Skills/skills/icdt-reproducibility .claude/skills/icdt-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 "icdt-reproducibility" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ICDT-Skills/skills/icdt-reproducibility into .claude/skills/icdt-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "icdt-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/ICDT-Skills/skills/icdt-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 icdt-reproducibility -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills icdt-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/ICDT-Skills/skills/icdt-reproducibility .agents/skills/icdt-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 "icdt-reproducibility" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ICDT-Skills/skills/icdt-reproducibility into .agents/skills/icdt-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "icdt-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 icdt-reproducibility -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills icdt-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/ICDT-Skills/skills/icdt-reproducibility .cursor/skills/icdt-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 "icdt-reproducibility" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ICDT-Skills/skills/icdt-reproducibility into .cursor/skills/icdt-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "icdt-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 ICDT-Skills/skills/icdt-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 icdt-reproducibility -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills icdt-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/ICDT-Skills/skills/icdt-reproducibility .gemini/skills/icdt-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 "icdt-reproducibility" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ICDT-Skills/skills/icdt-reproducibility into .gemini/skills/icdt-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "icdt-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 icdt-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 icdt-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/ICDT-Skills/skills/icdt-reproducibility .github/skills/icdt-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 "icdt-reproducibility" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ICDT-Skills/skills/icdt-reproducibility into .github/skills/icdt-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "icdt-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 icdt-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 icdt-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/ICDT-Skills/skills/icdt-reproducibility .opencode/skills/icdt-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 "icdt-reproducibility" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ICDT-Skills/skills/icdt-reproducibility into .opencode/skills/icdt-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "icdt-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
icdt-reproducibility- GitHub stars
- 1.2k
- Token cost
- ~1.2k tokens
- SKILL.md length
- 488 words
- Files
- 1
- Skills in repo
- 2,387
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when strengthening the verifiability of an ICDT (International Conference on Database Theory) paper — the theory-venue analogue of reproducibility — covering complete and…
- Exact models and assumptions
- SKILL.md covers Verifiability map, Proof-completeness audit, Matching bounds and tightness and Paper / full-version consistency, plus 2 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Claim-to-proof mapping
What it does
Icdt Reproducibility is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when strengthening the verifiability of an ICDT (International Conference on Database Theory) paper — the theory-venue analogue of reproducibility — covering complete and self-contained proofs, exact models and assumptions, claim-to-proof mapping, matching upper and lower bounds, consistency between the LIPIcs paper and the arXiv full version, and honest labeling of what is proved versus conjectured.
Its SKILL.md is about 1.2k 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
- Exact models and assumptions
- Claim-to-proof mapping
- Matching upper and lower bounds
- Consistency between the LIPIcs paper and the arXiv full version
Example prompts
- “/icdt-reproducibility”
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
Icdt Reproducibility loads about 1.2k tokens when it runs. Until then it costs about 107 tokens; SKILL.md has 488 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). 488 words, ~1,168 tokens.
Download SKILL.mdSave it as
.claude/skills/icdt-reproducibility/SKILL.md (or your agent's skills folder).- name
- icdt-reproducibility
- description
- Use when strengthening the verifiability of an ICDT (International Conference on Database Theory) paper — the theory-venue analogue of reproducibility — covering complete and self-contained proofs, exact models and assumptions, claim-to-proof mapping, matching upper and lower bounds, consistency between the LIPIcs paper and the arXiv full version, and honest labeling of what is proved versus conjectured.
ICDT Reproducibility
At a theory venue, "reproducibility" means verifiability: a competent reader, given your paper, can reconstruct every proof and independently confirm every theorem. There is no dataset to re-run and no benchmark to re-execute — the standard is that nothing is asserted without a checkable argument, and nothing in the published record contradicts the full version. Use this before submission and again before camera-ready.
Verifiability map
- Map each theorem, lemma, and stated bound to a complete proof — in the body or the marked appendix — with every case handled. An unproved "it can be shown" is the theory-venue equivalent of a missing script.
- Pin the model and assumptions exactly: the data model, the query/constraint language, the complexity measure (data vs combined vs query), and any restriction (bounded arity, acyclicity) the proof relies on. A hidden assumption that makes the theorem easier is a correctness defect.
- Ensure definitions are self-contained: every symbol and notion used in a proof is defined in the paper, not assumed from a specific prior paper the referee may not have open.
- Keep the paper internally consistent: a bound stated in the abstract, restated in a theorem, and used in a corollary must be the same bound.
Proof-completeness audit
| Claim in the paper | Weak (non-verifiable) form | ICDT-ready form |
|---|---|---|
| "Evaluation is [class]-complete" | Upper bound only; "hardness is standard" | Both bounds proved; the reduction given explicitly |
| "The construction works" | Sketch with the hard case omitted | Every case, including the awkward one, in the appendix |
| "This generalizes [X]" | Asserted | The generalization proved, with X recovered as a special case |
| "The problem is decidable" | Algorithm without a termination/correctness proof | Algorithm + proof it halts and is correct |
| "W.l.o.g. assume acyclic" | Unjustified | The reduction to the acyclic case proved, or the assumption dropped |
"It is easy to see" is treated as not shown unless it genuinely is; convert each such line into a one-line argument or move it to the appendix as a short proof.
Show full SKILL.md (167 more words)Show less
Matching bounds and tightness
[Upper bound] algorithm/argument establishing membership in the claimed class, proved
[Lower bound] a reduction (or game/adversary argument) establishing hardness, proved
[Label] say which is which, and state explicitly when the two meet (tight)
[Gaps] if a bound is one-sided, say so honestly rather than implying tightnessA one-sided bound presented as a settled answer is the most common verifiability failure ICDT referees catch — and the most common reason for a Cycle-1 "revise."
Paper / full-version consistency
- Before submission: the single PDF is self-contained; every acceptance-critical claim has a checkable proof inside it (online appendices are not allowed).
- Before camera-ready: post/update the arXiv full version and confirm it states the same theorems and bounds as the LIPIcs paper. If the revision changed a bound, change it in both.
- A published LIPIcs paper whose full version silently proves a weaker (or stronger) result than
claimed is a lasting citation hazard; keep them in lockstep (
icdt-camera-ready).
Honest labeling
- Distinguish theorem (proved), conjecture (believed, unproved), and open problem (not known) explicitly; a referee reads these words literally.
- State what your result does not cover — the cases outside your class, the measures you did not bound — so no reader over-reads it.
- Attribute reused proof techniques to their source rather than re-deriving them silently.
Output format
[Claim inventory] <each theorem/lemma -> complete proof location>
[Models pinned] data model / language / complexity measure / restrictions stated? yes/no
[Bounds] matched and labeled; one-sided gaps disclosed? yes/no
[Self-contained] all definitions in-paper; no external-appendix dependence? yes/no
[Consistency] LIPIcs paper == arXiv full version on all bounds? yes/no
[Fix queue] <close proof gaps first, then pin models, then align full version>© 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 ICDT-Skills/skills/icdt-reproducibility of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
Icdt 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 |
|---|---|---|---|---|---|---|
| Icdt Reproducibility this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.2k | 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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Works with
Categories
Questions about Icdt Reproducibility
What does Icdt Reproducibility do?
A skill your agent uses when strengthening the verifiability of an ICDT (International Conference on Database Theory) paper — the theory-venue analogue of reproducibility — covering complete and…. Icdt Reproducibility is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when strengthening the verifiability of an ICDT (International Conference on Database Theory) paper — the theory-venue analogue of reproducibility — covering complete and self-contained proofs, exact models and assumptions, claim-to-proof mapping, matching upper and lower bounds, consistency between the LIPIcs paper and the arXiv full version, and honest labeling of what is proved versus conjectured.
When should I use Icdt Reproducibility?
Icdt Reproducibility fits situations like: exact models and assumptions; claim-to-proof mapping; matching upper and lower bounds; consistency between the LIPIcs paper and the arXiv full version.
How do I install Icdt Reproducibility in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill icdt-reproducibility -a claude-code`. Or copy the skill folder (ICDT-Skills/skills/icdt-reproducibility in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/icdt-reproducibility in your project. Claude Code loads it when a task matches its description.
How do I install Icdt Reproducibility in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill icdt-reproducibility -a codex`. Or copy the skill folder (ICDT-Skills/skills/icdt-reproducibility in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/icdt-reproducibility in your project. Codex loads it when a task matches its description.
Can I use Icdt 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 icdt-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/icdt-reproducibility, .gemini/skills/icdt-reproducibility, .github/skills/icdt-reproducibility and .opencode/skills/icdt-reproducibility in your project.
What does Icdt Reproducibility need to run?
SKILL.md names no scripts, command-line tools or credentials: Icdt Reproducibility is instructions for the agent only.
Does Icdt 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 Icdt 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 Icdt Reproducibility use?
Icdt 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 Icdt Reproducibility use?
About 1.2k tokens (SKILL.md is roughly 4.7k 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 Icdt Reproducibility?
Skills that share tags, products or a category with Icdt 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 Icdt 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.