Markitdown
ImCa0/just-laws
Convert files and office documents to Markdown. An agent skill from ImCa0/just-laws.
Agent skill
Icdm Artifact Evaluation
by brycewang-stanford in brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when packaging code, data, and logs for an ICDM (IEEE International Conference on Data Mining) paper - building the anonymized, history-scrubbed repository that the PDF must…
Install Icdm Artifact Evaluation
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill icdm-artifact-evaluation -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills icdm-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/ICDM-Skills/skills/icdm-artifact-evaluation .claude/skills/icdm-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 "icdm-artifact-evaluation" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ICDM-Skills/skills/icdm-artifact-evaluation into .claude/skills/icdm-artifact-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "icdm-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/ICDM-Skills/skills/icdm-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 icdm-artifact-evaluation -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills icdm-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/ICDM-Skills/skills/icdm-artifact-evaluation .agents/skills/icdm-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 "icdm-artifact-evaluation" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ICDM-Skills/skills/icdm-artifact-evaluation into .agents/skills/icdm-artifact-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "icdm-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 icdm-artifact-evaluation -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills icdm-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/ICDM-Skills/skills/icdm-artifact-evaluation .cursor/skills/icdm-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 "icdm-artifact-evaluation" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ICDM-Skills/skills/icdm-artifact-evaluation into .cursor/skills/icdm-artifact-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "icdm-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 ICDM-Skills/skills/icdm-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 icdm-artifact-evaluation -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills icdm-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/ICDM-Skills/skills/icdm-artifact-evaluation .gemini/skills/icdm-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 "icdm-artifact-evaluation" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ICDM-Skills/skills/icdm-artifact-evaluation into .gemini/skills/icdm-artifact-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "icdm-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 icdm-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 icdm-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/ICDM-Skills/skills/icdm-artifact-evaluation .github/skills/icdm-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 "icdm-artifact-evaluation" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ICDM-Skills/skills/icdm-artifact-evaluation into .github/skills/icdm-artifact-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "icdm-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 icdm-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 icdm-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/ICDM-Skills/skills/icdm-artifact-evaluation .opencode/skills/icdm-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 "icdm-artifact-evaluation" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ICDM-Skills/skills/icdm-artifact-evaluation into .opencode/skills/icdm-artifact-evaluation/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "icdm-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.
Facts
- Skill name
icdm-artifact-evaluation- GitHub stars
- 1.2k
- Token cost
- ~1.1k tokens
- SKILL.md length
- 446 words
- Files
- 1
- Skills in repo
- 2,387
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when packaging code, data, and logs for an ICDM (IEEE International Conference on Data Mining) paper - building the anonymized, history-scrubbed repository that the PDF must…
- Logs for an ICDM (IEEE International Conference on Data Mining) paper - building the anonymized
- SKILL.md covers The repository the PDF must cite, Anonymize for the triple-blind…, Make it reviewer-usable and Handle un-releasable data…, plus 2 more sections
- Calls python3
- History-scrubbed repository that the PDF must cite for a triple-blind Research Track submission
What it does
Icdm Artifact Evaluation is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when packaging code, data, and logs for an ICDM (IEEE International Conference on Data Mining) paper - building the anonymized, history-scrubbed repository that the PDF must cite for a triple-blind Research Track submission, how the single-blind Applied Track changes what may be revealed, and the smoke checks that make an ICDM artifact reviewer-usable.
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 Documents & Office, covering PDF. 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
- Logs for an ICDM (IEEE International Conference on Data Mining) paper - building the anonymized
- History-scrubbed repository that the PDF must cite for a triple-blind Research Track submission
- How the single-blind Applied Track changes what may be revealed
- The smoke checks that make an ICDM artifact reviewer-usable
Example prompts
- “/icdm-artifact-evaluation”
Requirements
- Python 3
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
Shell commands in SKILL.md call:
python3
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
Icdm Artifact Evaluation loads about 1.1k tokens when it runs. Until then it costs about 96 tokens; SKILL.md has 446 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). 446 words, ~1,051 tokens.
Download SKILL.mdSave it as
.claude/skills/icdm-artifact-evaluation/SKILL.md (or your agent's skills folder).- name
- icdm-artifact-evaluation
- description
- Use when packaging code, data, and logs for an ICDM (IEEE International Conference on Data Mining) paper - building the anonymized, history-scrubbed repository that the PDF must cite for a triple-blind Research Track submission, how the single-blind Applied Track changes what may be revealed, and the smoke checks that make an ICDM artifact reviewer-usable.
ICDM Artifact Evaluation
Package the artifact so a reviewer can actually use it, under ICDM's anonymity rules. ICDM does not run a separate stamped artifact-badging track the way some venues do (verify per edition); instead, the artifact's job is to be the cited, anonymized evidence that supports the paper. Because the Research Track is triple-blind and traditionally offers no rebuttal, the repository must be complete and anonymous at submission time — there is no later chance to reveal it.
The repository the PDF must cite
- Reference the code/data repository inside the submitted PDF. A repository not cited at submission is invisible to reviewers for the entire cycle (no rebuttal to add it later).
- For the Research Track, the link must resolve to an anonymized location, not a named account, and the contents must reveal no identity.
- For the 2026 Applied Track (single-blind), anonymization of the artifact is not required the same way — but confirm the current call, and still avoid shipping secrets or private data.
Anonymize for the triple-blind regime (Research Track)
| Leak surface | Fix |
|---|---|
| Git history (author names, emails) | Export a fresh repo with no history |
File paths (/home/alice/..., cluster hostnames) | Rewrite to relative, generic paths |
| Internal dataset/system names | Rename to public source + version |
| README acknowledgements, funding | Remove until camera-ready |
| Hosting account that identifies you | Use an anonymized hosting option |
A triple-blind leak in the artifact is as fatal as one in the PDF, and it is the surface authors most often forget.
Make it reviewer-usable
- Ship a single entry point and pinned dependencies so a reviewer reproduces a headline table in one command.
- Include the seeds and configs behind the reported variance (see
icdm-reproducibility). - Provide a small runnable slice for methods whose full run is expensive, plus instructions to scale up.
# smoke-check an anonymized ICDM reproduction package before citing it in the PDF
python3 ../../../shared-resources/ml-conference-methods/code/check_repro_package.py \
/path/to/anonymized-repo
# then manually confirm: no .git, no author paths, no internal dataset names,
# one entry script, pinned deps, seed list present, README free of identity.Show full SKILL.md (154 more words)Show less
Handle un-releasable data honestly
- If data cannot be released, ship the code plus a synthetic proxy that runs end to end, and document the protocol so the private-data numbers are attested rather than opaque.
- State the scope of what the artifact does and does not reproduce; an honest boundary beats an artifact that silently omits the main result.
Vignette: the commit that would have unmasked the authors
A team built a clean anonymized zip of their code, but linked their normal lab repository whose first commit read "initial import — Alice, BigState University." Under triple-blind that is an identity leak that could invalidate the submission. The fix: export a fresh repository with no history, rewrite absolute paths to relative, rename the internal dataset to its public source and version, strip the acknowledgements from the README, host it anonymously, and cite that link in the PDF. Same artifact, now safe for a triple-blind reviewer.
Output format
[Cited in PDF] repository referenced in the submitted paper: yes / no
[Regime] Research(triple-blind) -> anonymized required | Applied(single-blind)
[Anonymization] no history / no author paths / no internal names: pass / leaks
[Usability] one-command headline table + pinned deps + seeds: yes / no
[Un-releasable data] synthetic proxy + attested protocol: yes / N-A
[Top fix] <single most important artifact fix before submission>© 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 ICDM-Skills/skills/icdm-artifact-evaluation of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
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|---|---|---|---|---|---|---|
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| Gzh Designisjiamu/gzh-design-skill | 4k | — | ~2.2k | Automated safety check: Pass | AGPL-3.0 | |
| GenOffice Document CLIgenspark-ai/genoffice | 9.2k | — | ~19k | Automated safety check: Pass | Apache-2.0 | |
| Harness Book Best Practicewquguru/harness-books | 3.2k | — | ~4.1k | Automated safety check: Pass | None | |
| Bookforge Korean Ebook PDF Makergongnyang/bookforge | 316 | 1 repos | ~1.7k | Automated safety check: Pass | MIT |
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Categories
Questions about Icdm Artifact Evaluation
What does Icdm Artifact Evaluation do?
A skill your agent uses when packaging code, data, and logs for an ICDM (IEEE International Conference on Data Mining) paper - building the anonymized, history-scrubbed repository that the PDF must…. Icdm Artifact Evaluation is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when packaging code, data, and logs for an ICDM (IEEE International Conference on Data Mining) paper - building the anonymized, history-scrubbed repository that the PDF must cite for a triple-blind Research Track submission, how the single-blind Applied Track changes what may be revealed, and the smoke checks that make an ICDM artifact reviewer-usable.
When should I use Icdm Artifact Evaluation?
Icdm Artifact Evaluation fits situations like: logs for an ICDM (IEEE International Conference on Data Mining) paper - building the anonymized; history-scrubbed repository that the PDF must cite for a triple-blind Research Track submission; how the single-blind Applied Track changes what may be revealed; the smoke checks that make an ICDM artifact reviewer-usable.
How do I install Icdm Artifact Evaluation in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill icdm-artifact-evaluation -a claude-code`. Or copy the skill folder (ICDM-Skills/skills/icdm-artifact-evaluation in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/icdm-artifact-evaluation in your project. Claude Code loads it when a task matches its description.
How do I install Icdm Artifact Evaluation in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill icdm-artifact-evaluation -a codex`. Or copy the skill folder (ICDM-Skills/skills/icdm-artifact-evaluation in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/icdm-artifact-evaluation in your project. Codex loads it when a task matches its description.
Can I use Icdm Artifact Evaluation 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 icdm-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/icdm-artifact-evaluation, .gemini/skills/icdm-artifact-evaluation, .github/skills/icdm-artifact-evaluation and .opencode/skills/icdm-artifact-evaluation in your project.
What does Icdm Artifact Evaluation need to run?
Going by SKILL.md and its folder, Icdm Artifact Evaluation needs the command-line tools its instructions call (python3). Our summary lists: Python 3.
Does Icdm Artifact Evaluation 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 Icdm Artifact Evaluation 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 Icdm Artifact Evaluation use?
Icdm 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.
How many tokens does Icdm Artifact Evaluation 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 Icdm Artifact Evaluation?
Skills that share tags, products or a category with Icdm Artifact Evaluation: Markitdown (ImCa0/just-laws, 781 stars), Gzh Design (isjiamu/gzh-design-skill, 4k stars), GenOffice Document CLI (genspark-ai/genoffice, 9.2k stars) and Harness Book Best Practice (wquguru/harness-books, 3.2k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Icdm Artifact Evaluation?
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.