Fizz
pashov/skills
Generate Echidna/Medusa-compatible Solidity fuzz suites from Foundry or Hardhat projects.
A skill your agent uses when strengthening ISSTA reproducibility and verifiability evidence, covering pinned subject programs and benchmark versions, random seeds and timeout budgets…
Install Issta Reproducibility
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill issta-reproducibility -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills issta-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/ISSTA-Skills/skills/issta-reproducibility .claude/skills/issta-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 "issta-reproducibility" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ISSTA-Skills/skills/issta-reproducibility into .claude/skills/issta-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "issta-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/ISSTA-Skills/skills/issta-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 issta-reproducibility -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills issta-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/ISSTA-Skills/skills/issta-reproducibility .agents/skills/issta-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 "issta-reproducibility" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ISSTA-Skills/skills/issta-reproducibility into .agents/skills/issta-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "issta-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 issta-reproducibility -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills issta-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/ISSTA-Skills/skills/issta-reproducibility .cursor/skills/issta-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 "issta-reproducibility" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ISSTA-Skills/skills/issta-reproducibility into .cursor/skills/issta-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "issta-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 ISSTA-Skills/skills/issta-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 issta-reproducibility -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills issta-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/ISSTA-Skills/skills/issta-reproducibility .gemini/skills/issta-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 "issta-reproducibility" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ISSTA-Skills/skills/issta-reproducibility into .gemini/skills/issta-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "issta-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 issta-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 issta-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/ISSTA-Skills/skills/issta-reproducibility .github/skills/issta-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 "issta-reproducibility" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ISSTA-Skills/skills/issta-reproducibility into .github/skills/issta-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "issta-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 issta-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 issta-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/ISSTA-Skills/skills/issta-reproducibility .opencode/skills/issta-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 "issta-reproducibility" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ISSTA-Skills/skills/issta-reproducibility into .opencode/skills/issta-reproducibility/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "issta-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
issta-reproducibility- GitHub stars
- 1.2k
- Token cost
- ~1.1k tokens
- SKILL.md length
- 452 words
- Files
- 1
- Skills in repo
- 2,387
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when strengthening ISSTA reproducibility and verifiability evidence, covering pinned subject programs and benchmark versions, random seeds and timeout budgets…
- Strengthening ISSTA reproducibility and verifiability evidence
- SKILL.md covers Evidence map, Claim-to-evidence audit table, Vignette: a fuzzing evaluation and Degrees of reproducibility, plus 1 more section
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Covering pinned subject programs and benchmark versions
What it does
Issta Reproducibility is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when strengthening ISSTA reproducibility and verifiability evidence, covering pinned subject programs and benchmark versions, random seeds and timeout budgets, non-determinism disclosure for fuzzing and analysis, claim-to-evidence traceability, tool availability statements, and keeping the artifact consistent with the paper's tables.
Its SKILL.md is about 1.1k 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 Security, covering Reproducible research and Fuzzing. 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
- Strengthening ISSTA reproducibility and verifiability evidence
- Covering pinned subject programs and benchmark versions
- Random seeds and timeout budgets
- Non-determinism disclosure for fuzzing and analysis
Example prompts
- “/issta-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
Issta Reproducibility loads about 1.1k tokens when it runs. Until then it costs about 90 tokens; SKILL.md has 452 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). 452 words, ~1,050 tokens.
Download SKILL.mdSave it as
.claude/skills/issta-reproducibility/SKILL.md (or your agent's skills folder).- name
- issta-reproducibility
- description
- Use when strengthening ISSTA reproducibility and verifiability evidence, covering pinned subject programs and benchmark versions, random seeds and timeout budgets, non-determinism disclosure for fuzzing and analysis, claim-to-evidence traceability, tool availability statements, and keeping the artifact consistent with the paper's tables.
ISSTA Reproducibility
Use this before submission and again before the artifact deadline. Verifiability and transparency are named ISSTA evaluation criteria, so reproducibility is scored, not optional. Reopen the current call and artifact instructions to confirm what the cycle requires.
Evidence map
- Map each empirical claim — a detection rate, a coverage gain, a bug count, a speedup — to a verifiable location: a table, the artifact, or a logged run that a reader could regenerate.
- Pin the substrate: benchmark version (e.g. the Defects4J revision), subject-program commit SHAs, the extraction date of any mined corpus, and the exact toolchain versions. "The latest version" is not reproducible.
- Fix and report the stochastic knobs: random seeds, timeout budgets, iteration or generation counts, and hardware, because a fuzzing or search result at one budget says little about another.
- Disclose non-determinism honestly. Where results vary between runs, report the run count and the observed spread rather than a single golden run, and say which tables are means over runs.
- Give an availability statement: what is released, under what license, and where, or an honest reason for withholding (proprietary subjects, license terms) with enough detail for in-principle reproduction.
- Keep the artifact and the paper in lockstep; a table the artifact cannot regenerate is a verifiability failure the criteria will catch.
Claim-to-evidence audit table
| Claim type | Minimum reproducibility evidence | Common failure caught |
|---|---|---|
| Detection / bug-finding rate | Labelled subjects + ground-truth labels archived | Rate reported against an unshared or hand-picked subject set |
| Coverage or analysis-precision gain | Subject SHAs, tool config, and the measurement script | Baseline run under a different configuration than the tool |
| Fuzzing throughput / bugs found | Seed corpus, time budget, run count, hardware | A single lucky campaign presented as typical |
| Speedup over a baseline | Same machine, same subjects, wall-clock protocol | Speedup measured on incomparable inputs |
Marking a stochastic result as if it were deterministic — no seed, no run count — is a recognizable ISSTA red flag, because reviewers know these techniques do not produce the same number twice.
Show full SKILL.md (126 more words)Show less
Vignette: a fuzzing evaluation
Consider a paper claiming a new mutation strategy finds more bugs. Its reproducibility spine: the seed corpus and target binaries pinned by hash; the CPU-time budget per campaign and the number of repeated campaigns; the deduplication method for counting distinct bugs; a statement of which bugs are previously known versus new; and a script that turns the raw campaign logs into the paper's bug-count table — plus one honest sentence about variance across campaigns.
Degrees of reproducibility
Turnkey one command regenerates each table from logged runs (aim for the smoke path)
Scripted scripts exist but need documented manual steps or large external data
Descriptive prose detailed enough that a competent reader could rebuild the pipelineFor ISSTA, aim for at least a turnkey smoke path plus scripted full runs; long fuzzing or symbolic-execution campaigns may stay scripted if the budget and variance are documented. Stating the achieved level honestly beats promising turnkey behaviour that fails on a clean machine.
Output format
[Claim inventory] <claim -> evidence location>
[Substrate pinned] benchmark version / subject SHAs / toolchain: yes/no
[Stochastic disclosure] seeds / budgets / run count / variance: complete/partial/missing
[Availability] released / partially released / withheld-with-reason
[Paper fixes] <must appear in the body>
[Artifact fixes] <package or script additions>© 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 ISSTA-Skills/skills/issta-reproducibility of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
Issta 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 |
|---|---|---|---|---|---|---|
| Issta Reproducibility this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.1k | Automated safety check: Pass | MIT | |
| Fizzpashov/skills | 1.2k | 2 repos | ~11k | Automated safety check: Pass | MIT | |
| Peer ReviewK-Dense-AI/claude-scientific-writer | 2.4k | 2 repos | ~3.1k | Automated safety check: Notes | MIT | |
| CHARLS Paper Reproduction Guidexjtulyc/MedgeClaw | 617 | 1 repos | ~1.8k | Automated safety check: Pass | None | |
| Compute Environment Setupaipoch/open-science | 5.5k | — | ~2.6k | Automated safety check: Pass | Apache-2.0 | |
| Fizz Syncpashov/skills | 1.2k | 2 repos | ~3.9k | Automated safety check: Pass | MIT |
Similar skills
Peer Review
K-Dense-AI/claude-scientific-writer
Prepare evidence-bounded, constructive peer-review drafts and structured manuscript assessments.
CHARLS Paper Reproduction Guide
xjtulyc/MedgeClaw
Guides an agent through reproducing papers built on the CHARLS health and retirement survey, from variable mapping to cognition, depression and isolation scores.
Compute Environment Setup
aipoch/open-science
Prepares setup instructions and a named activation file for a user-managed software environment on an Open-Science SSH or Slurm compute host.
Fizz Sync
pashov/skills
Reconcile an existing Fizz harness with a changed source tree.
Research Fuzzer
ARA-Labs/Agent-Native-Research-Artifact
Treat an open-ended investigation the way a fuzzer treats a program.
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Questions about Issta Reproducibility
What does Issta Reproducibility do?
A skill your agent uses when strengthening ISSTA reproducibility and verifiability evidence, covering pinned subject programs and benchmark versions, random seeds and timeout budgets…. Issta Reproducibility is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when strengthening ISSTA reproducibility and verifiability evidence, covering pinned subject programs and benchmark versions, random seeds and timeout budgets, non-determinism disclosure for fuzzing and analysis, claim-to-evidence traceability, tool availability statements, and keeping the artifact consistent with the paper's tables.
When should I use Issta Reproducibility?
Issta Reproducibility fits situations like: strengthening ISSTA reproducibility and verifiability evidence; covering pinned subject programs and benchmark versions; random seeds and timeout budgets; non-determinism disclosure for fuzzing and analysis.
How do I install Issta Reproducibility in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill issta-reproducibility -a claude-code`. Or copy the skill folder (ISSTA-Skills/skills/issta-reproducibility in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/issta-reproducibility in your project. Claude Code loads it when a task matches its description.
How do I install Issta Reproducibility in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill issta-reproducibility -a codex`. Or copy the skill folder (ISSTA-Skills/skills/issta-reproducibility in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/issta-reproducibility in your project. Codex loads it when a task matches its description.
Can I use Issta 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 issta-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/issta-reproducibility, .gemini/skills/issta-reproducibility, .github/skills/issta-reproducibility and .opencode/skills/issta-reproducibility in your project.
What does Issta Reproducibility need to run?
SKILL.md names no scripts, command-line tools or credentials: Issta Reproducibility is instructions for the agent only.
Does Issta 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 Issta 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 Issta Reproducibility use?
Issta 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 Issta Reproducibility use?
About 1.1k tokens (SKILL.md is roughly 4.2k 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 Issta Reproducibility?
Skills that share tags, products or a category with Issta Reproducibility: Fizz (pashov/skills, 1.2k stars), Peer Review (K-Dense-AI/claude-scientific-writer, 2.4k stars), CHARLS Paper Reproduction Guide (xjtulyc/MedgeClaw, 617 stars) and Compute Environment Setup (aipoch/open-science, 5.5k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Issta 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.