Perplexity Web Search
davila7/claude-code-templates
Runs web-grounded searches through Perplexity's Sonar models over OpenRouter for current events, recent literature and cited facts beyond the model's training cutoff.
A skill your agent uses when an approved evidence-review protocol needs to be applied to a candidate pool.
$ npx skills add WILLOSCAR/research-units-pipeline-skills --skill screening-manager -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install WILLOSCAR/research-units-pipeline-skills screening-manager --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/screening-manager .claude/skills/screening-manager && 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 "screening-manager" agent skill from https://github.com/WILLOSCAR/research-units-pipeline-skills/tree/main/.codex/skills/screening-manager into .claude/skills/screening-manager/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "screening-manager", 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/screening-managerType 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 screening-manager -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install WILLOSCAR/research-units-pipeline-skills screening-manager --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/screening-manager .agents/skills/screening-manager && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "screening-manager" agent skill from https://github.com/WILLOSCAR/research-units-pipeline-skills/tree/main/.codex/skills/screening-manager into .agents/skills/screening-manager/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "screening-manager", 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 screening-manager -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install WILLOSCAR/research-units-pipeline-skills screening-manager --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/screening-manager .cursor/skills/screening-manager && 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 "screening-manager" agent skill from https://github.com/WILLOSCAR/research-units-pipeline-skills/tree/main/.codex/skills/screening-manager into .cursor/skills/screening-manager/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "screening-manager", 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/screening-manager--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 screening-manager -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install WILLOSCAR/research-units-pipeline-skills screening-manager --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/screening-manager .gemini/skills/screening-manager && 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 "screening-manager" agent skill from https://github.com/WILLOSCAR/research-units-pipeline-skills/tree/main/.codex/skills/screening-manager into .gemini/skills/screening-manager/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "screening-manager", 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 screening-managerInstalls 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 screening-manager -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/screening-manager .github/skills/screening-manager && 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 "screening-manager" agent skill from https://github.com/WILLOSCAR/research-units-pipeline-skills/tree/main/.codex/skills/screening-manager into .github/skills/screening-manager/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "screening-manager", 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 screening-manager -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 screening-manager --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/screening-manager .opencode/skills/screening-manager && 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 "screening-manager" agent skill from https://github.com/WILLOSCAR/research-units-pipeline-skills/tree/main/.codex/skills/screening-manager into .opencode/skills/screening-manager/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "screening-manager", 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.
screening-managerA skill your agent uses when an approved evidence-review protocol needs to be applied to a candidate pool.
Screening Manager is an agent skill from WILLOSCAR/research-units-pipeline-skills. Use when an approved evidence-review protocol needs to be applied to a candidate pool.
Its SKILL.md is about 330 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including scripts (for example `scripts/run.py`).
It sits in Research & Science, covering Fact-checking and source verification. 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…
Read from SKILL.md and the folder at commit c92912a. It shows what the files ask for, not the result of running them.
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.
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.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Screening Manager loads about 326 tokens when it runs. Until then it costs about 27 tokens; SKILL.md has 116 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.
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.
Without a licence we can't republish the file, so here is its outline and opening line. It has 116 words (~326 tokens).
“Transforms an approved protocol plus candidate pool into an auditable screening log.”
SKILL.md and 1 other file (scripts) in .codex/skills/screening-manager of WILLOSCAR/research-units-pipeline-skills.
Open the folder on GitHubat commit c92912a
Screening Manager 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 |
|---|---|---|---|---|---|---|
| Screening Manager this skillWILLOSCAR/research-units-pipeline-skills | 513 | — | ~326 | Automated safety check: Pass | None | |
| Perplexity Web Searchdavila7/claude-code-templates | 32k | 12 repos | ~3.5k | Automated safety check: Notes | MIT | |
| Citation Verification GuideGalaxy-Dawn/claude-scholar | 5.7k | 3 repos | ~1.9k | Automated safety check: Pass | MIT | |
| Article Fact Checkerdigoal/blog | 8.6k | — | ~939 | Automated safety check: Pass | GPL-2.0 | |
| Deep Research Agent TeamImbad0202/academic-research-skills | 51k | — | ~13k | Automated safety check: Pass | Custom licence | |
| Docs Grounding Verifiermicrosoft/apm | 4k | — | ~1.9k | Automated safety check: Pass | MIT |
davila7/claude-code-templates
Runs web-grounded searches through Perplexity's Sonar models over OpenRouter for current events, recent literature and cited facts beyond the model's training cutoff.
Galaxy-Dawn/claude-scholar
Reference guidance for checking every citation in academic writing against canonical sources such as DOI, arXiv, CrossRef and Semantic Scholar, to catch fake or wrong references.
digoal/blog
三层审查模型,逐段逐句验证文章真伪、证据链与逻辑结构。Use when the user asks to fact-check, verify, audit, or evaluate the credibility of an article, essay, report, opinion piece, social-media post, or any written claim —…
Imbad0202/academic-research-skills
Runs a 13-agent pipeline for rigorous academic research, from forming the question through systematic search, synthesis, bias checks and an APA 7.0 report.
microsoft/apm
A skill your agent uses to verify CLAIM-LEVEL grounding of a documentation page (or set of pages) against the source code.
bradygaster/squad
Review and validate claims using counter-hypothesis testing.
WILLOSCAR/research-units-pipeline-skills
Curate reader-facing survey tables for the Appendix (clean layout + high information density), using only in-scope evidence and existing citation keys.
WILLOSCAR/research-units-pipeline-skills
Audit one research Workspace for declared Unit outputs and Pipeline target Artifacts, writing output/CONTRACTREPORT.md; use for mid-Run coverage snapshots or final delivery completeness, not deep…
WILLOSCAR/research-units-pipeline-skills
Retrieve arXiv paper metadata with keyword queries or import an offline arXiv export, and save results as JSONL (papers/papersraw.jsonl).
WILLOSCAR/research-units-pipeline-skills
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.
WILLOSCAR/research-units-pipeline-skills
Build a retrieval-informed chapter skeleton (outline/chapterskeleton.yml) from taxonomy/core scope before stable H3 decomposition.
WILLOSCAR/research-units-pipeline-skills
A skill your agent uses when a broad paper candidate pool needs deterministic deduplication and a stable core set.
Categories
A skill your agent uses when an approved evidence-review protocol needs to be applied to a candidate pool. Screening Manager is an agent skill from WILLOSCAR/research-units-pipeline-skills. Use when an approved evidence-review protocol needs to be applied to a candidate pool.
Screening Manager fits situations like: an approved evidence-review protocol needs to be applied to a candidate pool; tasks that involve Fact-checking and source verification.
Run `npx skills add WILLOSCAR/research-units-pipeline-skills --skill screening-manager -a claude-code`. Or copy the skill folder (.codex/skills/screening-manager in WILLOSCAR/research-units-pipeline-skills) into .claude/skills/screening-manager in your project. Claude Code loads it when a task matches its description.
Run `npx skills add WILLOSCAR/research-units-pipeline-skills --skill screening-manager -a codex`. Or copy the skill folder (.codex/skills/screening-manager in WILLOSCAR/research-units-pipeline-skills) into .agents/skills/screening-manager in your project. Codex loads it when a task matches its description.
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 screening-manager -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/screening-manager, .gemini/skills/screening-manager, .github/skills/screening-manager and .opencode/skills/screening-manager in your project.
Going by SKILL.md and its folder, Screening Manager needs Python for the scripts in its folder. Our summary lists: Python 3.
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.
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.
No licence was found for Screening Manager or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
About 326 tokens (SKILL.md is roughly 1.3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Screening Manager: Perplexity Web Search (davila7/claude-code-templates, 32k stars), Citation Verification Guide (Galaxy-Dawn/claude-scholar, 5.7k stars), Article Fact Checker (digoal/blog, 8.6k stars) and Deep Research Agent Team (Imbad0202/academic-research-skills, 51k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
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.