Question2report
refraction-ray/xalpha
Turn a natural-language financial question into a polished, self-contained HTML report.
A skill your agent uses when a broad paper candidate pool needs deterministic deduplication and a stable core set.
Install Dedupe Rank
$ npx skills add WILLOSCAR/research-units-pipeline-skills --skill dedupe-rank -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install WILLOSCAR/research-units-pipeline-skills dedupe-rank --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/WILLOSCAR/research-units-pipeline-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.codex/skills/dedupe-rank .claude/skills/dedupe-rank && 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 "dedupe-rank" agent skill from https://github.com/WILLOSCAR/research-units-pipeline-skills/tree/main/.codex/skills/dedupe-rank into .claude/skills/dedupe-rank/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dedupe-rank", 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/WILLOSCAR/research-units-pipeline-skills/tree/main/.codex/skills/dedupe-rankType 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 WILLOSCAR/research-units-pipeline-skills --skill dedupe-rank -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install WILLOSCAR/research-units-pipeline-skills dedupe-rank --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/WILLOSCAR/research-units-pipeline-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.codex/skills/dedupe-rank .agents/skills/dedupe-rank && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "dedupe-rank" agent skill from https://github.com/WILLOSCAR/research-units-pipeline-skills/tree/main/.codex/skills/dedupe-rank into .agents/skills/dedupe-rank/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dedupe-rank", 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 WILLOSCAR/research-units-pipeline-skills --skill dedupe-rank -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install WILLOSCAR/research-units-pipeline-skills dedupe-rank --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/WILLOSCAR/research-units-pipeline-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.codex/skills/dedupe-rank .cursor/skills/dedupe-rank && 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 "dedupe-rank" agent skill from https://github.com/WILLOSCAR/research-units-pipeline-skills/tree/main/.codex/skills/dedupe-rank into .cursor/skills/dedupe-rank/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dedupe-rank", 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/WILLOSCAR/research-units-pipeline-skills.git --path .codex/skills/dedupe-rank--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 WILLOSCAR/research-units-pipeline-skills --skill dedupe-rank -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install WILLOSCAR/research-units-pipeline-skills dedupe-rank --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/WILLOSCAR/research-units-pipeline-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.codex/skills/dedupe-rank .gemini/skills/dedupe-rank && 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 "dedupe-rank" agent skill from https://github.com/WILLOSCAR/research-units-pipeline-skills/tree/main/.codex/skills/dedupe-rank into .gemini/skills/dedupe-rank/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dedupe-rank", 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 WILLOSCAR/research-units-pipeline-skills dedupe-rankInstalls 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 WILLOSCAR/research-units-pipeline-skills --skill dedupe-rank -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/WILLOSCAR/research-units-pipeline-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/.codex/skills/dedupe-rank .github/skills/dedupe-rank && 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 "dedupe-rank" agent skill from https://github.com/WILLOSCAR/research-units-pipeline-skills/tree/main/.codex/skills/dedupe-rank into .github/skills/dedupe-rank/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dedupe-rank", 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 WILLOSCAR/research-units-pipeline-skills --skill dedupe-rank -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install WILLOSCAR/research-units-pipeline-skills dedupe-rank --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/WILLOSCAR/research-units-pipeline-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.codex/skills/dedupe-rank .opencode/skills/dedupe-rank && 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 "dedupe-rank" agent skill from https://github.com/WILLOSCAR/research-units-pipeline-skills/tree/main/.codex/skills/dedupe-rank into .opencode/skills/dedupe-rank/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dedupe-rank", 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
dedupe-rank- GitHub stars
- 513
- Token cost
- ~438 tokens
- SKILL.md length
- 159 words
- Files
- 5 (incl. scripts, references, assets)
- Skills in repo
- 107
- Repo updated
- First seen
- Licence
- None found
At a glance
A skill your agent uses when a broad paper candidate pool needs deterministic deduplication and a stable core set.
- A broad paper candidate pool needs deterministic deduplication and a stable core set
- SKILL.md covers Triggers & routing, Input, Outputs and Script boundary, plus 3 more sections
- Runs Python scripts from its folder
- Tasks that involve Data cleaning
What it does
Dedupe Rank is an agent skill from WILLOSCAR/research-units-pipeline-skills. Use when a broad paper candidate pool needs deterministic deduplication and a stable core set.
Its SKILL.md is about 440 tokens, which your agent loads only when the skill is triggered. The skill folder holds 8 other files, including scripts, reference files and assets (for example `assets/domain_packs/embodied_ai.json`, `assets/domain_packs/llm_agents.json` and `references/domain_pack_overview.md`).
It sits in Data & Analytics, covering Data cleaning. The repository describes itself as: Research pipelines as semantic execution units: each skill declares inputs/outputs, acceptance criteria, and guardrails. Evidence-first methodology prevents hollow writing…
When your agent uses it
- A broad paper candidate pool needs deterministic deduplication and a stable core set
- Tasks that involve Data cleaning
Example prompts
- “/dedupe-rank”
Requirements
- Python 3
What it can do on your machine
Read from SKILL.md and the folder at commit c92912a. 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
Ships 1 file in scripts/ (Python), which the agent can run.
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
Dedupe Rank loads about 438 tokens when it runs, and up to ~696 if it reads all its reference files. Until then it costs about 27 tokens; SKILL.md has 159 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); the scripts in this folder are not scanned.
SKILL.md
Without a licence we can't republish the file, so here is its outline and opening line. It has 159 words (~438 tokens).
“Turns a raw candidate pool into a deduped pool and a stable core set.”
- name
- dedupe-rank
Files
SKILL.md and 4 other files (scripts, references, assets) in .codex/skills/dedupe-rank of WILLOSCAR/research-units-pipeline-skills.
- SKILL.md
- assets/domain_packs/embodied_ai.json
- assets/domain_packs/llm_agents.json
- references/domain_pack_overview.md
- scripts/run.py
Open the folder on GitHubat commit c92912a
Compare with similar skills
Dedupe Rank 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 |
|---|---|---|---|---|---|---|
| Dedupe Rank this skillWILLOSCAR/research-units-pipeline-skills | 513 | — | ~438 | Automated safety check: Pass | None | |
| Question2reportrefraction-ray/xalpha | 2.7k | — | ~3.2k | Automated safety check: Pass | MIT | |
| Dingo VerifyMigoXLab/dingo | 757 | — | ~741 | Automated safety check: Notes | Apache-2.0 | |
| Data Validationplatonai/Browser4 | 1.2k | — | ~896 | Automated safety check: Pass | Apache-2.0 | |
| Pandas ProJeffallan/claude-skills | 12k | 1 repos | ~1.5k | Automated safety check: Pass | MIT | |
| Issues DeduplicationJetBrains/ideavim | 10k | — | ~1.3k | Automated safety check: Pass | MIT |
Similar skills
Dingo Verify
MigoXLab/dingo
A skill your agent uses when the user wants to fact-check an article or verify factual claims in a document.
Data Validation
platonai/Browser4
Validates data against common and custom rules (required fields, formats, ranges).
Pandas Pro
Jeffallan/claude-skills
Handles pandas DataFrame work: cleaning, merging, groupby aggregation, pivots, time-series resampling and memory tuning, with checks on dtypes, shapes and nulls.
- Official
Issues Deduplication
JetBrains/ideavim
Handles deduplication of YouTrack issues. An agent skill from JetBrains/ideavim.
Openbb Data Fetcher
monarchjuno/vibe-investing
Fetch financial, market, economic, fundamental, news, options, crypto, ETF, index, and macro data through the OpenBB Python interface instead of the OpenBB MCP server.
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Write H2 chapter lead blocks (sections/S<secidlead.md) that preview the chapter's comparison lens and connect its H3 subsections, without adding new facts.
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Related
Categories
Questions about Dedupe Rank
What does Dedupe Rank do?
A skill your agent uses when a broad paper candidate pool needs deterministic deduplication and a stable core set. Dedupe Rank is an agent skill from WILLOSCAR/research-units-pipeline-skills. Use when a broad paper candidate pool needs deterministic deduplication and a stable core set.
When should I use Dedupe Rank?
Dedupe Rank fits situations like: A broad paper candidate pool needs deterministic deduplication and a stable core set; tasks that involve Data cleaning.
How do I install Dedupe Rank in Claude Code?
Run `npx skills add WILLOSCAR/research-units-pipeline-skills --skill dedupe-rank -a claude-code`. Or copy the skill folder (.codex/skills/dedupe-rank in WILLOSCAR/research-units-pipeline-skills) into .claude/skills/dedupe-rank in your project. Claude Code loads it when a task matches its description.
How do I install Dedupe Rank in Codex?
Run `npx skills add WILLOSCAR/research-units-pipeline-skills --skill dedupe-rank -a codex`. Or copy the skill folder (.codex/skills/dedupe-rank in WILLOSCAR/research-units-pipeline-skills) into .agents/skills/dedupe-rank in your project. Codex loads it when a task matches its description.
Can I use Dedupe Rank 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 WILLOSCAR/research-units-pipeline-skills --skill dedupe-rank -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/dedupe-rank, .gemini/skills/dedupe-rank, .github/skills/dedupe-rank and .opencode/skills/dedupe-rank in your project.
What does Dedupe Rank need to run?
Going by SKILL.md and its folder, Dedupe Rank needs Python for the scripts in its folder. Our summary lists: Python 3.
Does Dedupe Rank 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 Dedupe Rank 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.
What licence does Dedupe Rank use?
No licence was found for Dedupe Rank or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Dedupe Rank use?
About 438 tokens (SKILL.md is roughly 1.8k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 258 tokens, read only when the agent opens those files.
What are the alternatives to Dedupe Rank?
Skills that share tags, products or a category with Dedupe Rank: Question2report (refraction-ray/xalpha, 2.7k stars), Dingo Verify (MigoXLab/dingo, 757 stars), Data Validation (platonai/Browser4, 1.2k stars) and Pandas Pro (Jeffallan/claude-skills, 12k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Dedupe Rank?
WILLOSCAR (a GitHub user) maintains it in WILLOSCAR/research-units-pipeline-skills, which has 513 GitHub stars. The repository holds 107 skills in this directory. The repository was last updated on October 5, 2026.
Source: WILLOSCAR/research-units-pipeline-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.