Meteora Dlmm Pool Screening
sickn33/agentic-awesome-skills
Screen and rank Meteora DLMM pools for LP quality using public Meteora APIs (fee/TVL, bin step, organic score).
Screen the direction pool with a discussion-first scoring pass, writing output/trace/IDEASCREENINGTABLE.md.
$ npx skills add WILLOSCAR/research-units-pipeline-skills --skill idea-screener -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install WILLOSCAR/research-units-pipeline-skills idea-screener --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/idea-screener .claude/skills/idea-screener && 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 "idea-screener" agent skill from https://github.com/WILLOSCAR/research-units-pipeline-skills/tree/main/.codex/skills/idea-screener into .claude/skills/idea-screener/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "idea-screener", 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/idea-screenerType 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 idea-screener -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install WILLOSCAR/research-units-pipeline-skills idea-screener --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/idea-screener .agents/skills/idea-screener && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "idea-screener" agent skill from https://github.com/WILLOSCAR/research-units-pipeline-skills/tree/main/.codex/skills/idea-screener into .agents/skills/idea-screener/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "idea-screener", 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 idea-screener -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install WILLOSCAR/research-units-pipeline-skills idea-screener --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/idea-screener .cursor/skills/idea-screener && 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 "idea-screener" agent skill from https://github.com/WILLOSCAR/research-units-pipeline-skills/tree/main/.codex/skills/idea-screener into .cursor/skills/idea-screener/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "idea-screener", 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/idea-screener--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 idea-screener -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install WILLOSCAR/research-units-pipeline-skills idea-screener --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/idea-screener .gemini/skills/idea-screener && 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 "idea-screener" agent skill from https://github.com/WILLOSCAR/research-units-pipeline-skills/tree/main/.codex/skills/idea-screener into .gemini/skills/idea-screener/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "idea-screener", 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 idea-screenerInstalls 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 idea-screener -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/idea-screener .github/skills/idea-screener && 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 "idea-screener" agent skill from https://github.com/WILLOSCAR/research-units-pipeline-skills/tree/main/.codex/skills/idea-screener into .github/skills/idea-screener/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "idea-screener", 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 idea-screener -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 idea-screener --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/idea-screener .opencode/skills/idea-screener && 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 "idea-screener" agent skill from https://github.com/WILLOSCAR/research-units-pipeline-skills/tree/main/.codex/skills/idea-screener into .opencode/skills/idea-screener/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "idea-screener", 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.
idea-screenerScreen the direction pool with a discussion-first scoring pass, writing output/trace/IDEASCREENINGTABLE.md.
Idea Screener is an agent skill from WILLOSCAR/research-units-pipeline-skills. Screen the direction pool with a discussion-first scoring pass, writing output/trace/IDEASCREENINGTABLE.md.
Its SKILL.md is about 290 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`).
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.
Shell commands in SKILL.md call:
uvFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use uv, which can reach the network depending on how they are called.
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.
Idea Screener loads about 289 tokens when it runs. Until then it costs about 31 tokens; SKILL.md has 104 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 104 words (~289 tokens).
“Goal: compress a direction pool into a scored comparison table that helps shortlist the most discussion-worthy directions.”
SKILL.md and 1 other file (scripts) in .codex/skills/idea-screener of WILLOSCAR/research-units-pipeline-skills.
Open the folder on GitHubat commit c92912a
Idea Screener 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 |
|---|---|---|---|---|---|---|
| Idea Screener this skillWILLOSCAR/research-units-pipeline-skills | 513 | — | ~289 | Automated safety check: Pass | None | |
| Meteora Dlmm Pool Screeningsickn33/agentic-awesome-skills | 47k | 1 repos | ~1.7k | Automated safety check: Notes | MIT | |
| Idea ScoringMaxKmet/idea-validation-agents | 478 | — | ~3.2k | Automated safety check: Pass | MIT | |
| Claw Scoreopenclaw/openclaw | 392k | — | ~2.5k | Automated safety check: Pass | MIT | |
| Bio Crispr Screens Screen QcFreedomIntelligence/OpenClaw-Medical-Skills | 3.1k | — | ~2.1k | Automated safety check: Pass | None | |
| Idea Discoverywanshuiyin/Auto-claude-code-research-in-sleep | 17k | 1 repos | ~6.9k | Automated safety check: Warn | MIT |
sickn33/agentic-awesome-skills
Screen and rank Meteora DLMM pools for LP quality using public Meteora APIs (fee/TVL, bin step, organic score).
MaxKmet/idea-validation-agents
Aggregates all dimension scores into a final idea score (0–100) and issues a verdict.
openclaw/openclaw
Audit or refresh OpenClaw maturity scorecard docs from root taxonomy, maturity scores, and QA evidence artifacts without using maintainer discrawl data or committed inventory reports.
FreedomIntelligence/OpenClaw-Medical-Skills
Quality control for pooled CRISPR screens. An agent skill from FreedomIntelligence/OpenClaw-Medical-Skills.
wanshuiyin/Auto-claude-code-research-in-sleep
Workflow 1: Full idea discovery pipeline to go from a broad research direction to validated, pilot-tested ideas.
sickn33/agentic-awesome-skills
Darwinian idea evolution engine — toss rough ideas onto an evolution island, let them compete, crossbreed, and mutate through structured rounds to surface your strongest concepts.
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.
Screen the direction pool with a discussion-first scoring pass, writing output/trace/IDEASCREENINGTABLE.md. Idea Screener is an agent skill from WILLOSCAR/research-units-pipeline-skills.md.
Run `npx skills add WILLOSCAR/research-units-pipeline-skills --skill idea-screener -a claude-code`. Or copy the skill folder (.codex/skills/idea-screener in WILLOSCAR/research-units-pipeline-skills) into .claude/skills/idea-screener in your project. Claude Code loads it when a task matches its description.
Run `npx skills add WILLOSCAR/research-units-pipeline-skills --skill idea-screener -a codex`. Or copy the skill folder (.codex/skills/idea-screener in WILLOSCAR/research-units-pipeline-skills) into .agents/skills/idea-screener 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 idea-screener -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/idea-screener, .gemini/skills/idea-screener, .github/skills/idea-screener and .opencode/skills/idea-screener in your project.
Going by SKILL.md and its folder, Idea Screener needs Python for the scripts in its folder and the command-line tools its instructions call (uv). Our summary lists: Python 3.
SKILL.md contains no URLs. Its commands use uv, which can reach the network depending on how they are called. 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 Idea Screener or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
About 289 tokens (SKILL.md is roughly 1.2k 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 Idea Screener: Meteora Dlmm Pool Screening (sickn33/agentic-awesome-skills, 47k stars), Idea Scoring (MaxKmet/idea-validation-agents, 478 stars), Claw Score (openclaw/openclaw, 392k stars) and Bio Crispr Screens Screen Qc (FreedomIntelligence/OpenClaw-Medical-Skills, 3.1k 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.