Hypothesis Generation
spacering-net/codeg
Structured hypothesis formulation from observations. An agent skill from spacering-net/codeg.
Score an existing reader-facing deliverable and emit a deterministic PASS/FAIL scorecard plus bounded repair plan; use after synthesis, not to rewrite content.
$ npx skills add WILLOSCAR/research-units-pipeline-skills --skill deliverable-selfloop -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install WILLOSCAR/research-units-pipeline-skills deliverable-selfloop --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/deliverable-selfloop .claude/skills/deliverable-selfloop && 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 "deliverable-selfloop" agent skill from https://github.com/WILLOSCAR/research-units-pipeline-skills/tree/main/.codex/skills/deliverable-selfloop into .claude/skills/deliverable-selfloop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deliverable-selfloop", 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/deliverable-selfloopType 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 deliverable-selfloop -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install WILLOSCAR/research-units-pipeline-skills deliverable-selfloop --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/deliverable-selfloop .agents/skills/deliverable-selfloop && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "deliverable-selfloop" agent skill from https://github.com/WILLOSCAR/research-units-pipeline-skills/tree/main/.codex/skills/deliverable-selfloop into .agents/skills/deliverable-selfloop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deliverable-selfloop", 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 deliverable-selfloop -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install WILLOSCAR/research-units-pipeline-skills deliverable-selfloop --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/deliverable-selfloop .cursor/skills/deliverable-selfloop && 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 "deliverable-selfloop" agent skill from https://github.com/WILLOSCAR/research-units-pipeline-skills/tree/main/.codex/skills/deliverable-selfloop into .cursor/skills/deliverable-selfloop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deliverable-selfloop", 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/deliverable-selfloop--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 deliverable-selfloop -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install WILLOSCAR/research-units-pipeline-skills deliverable-selfloop --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/deliverable-selfloop .gemini/skills/deliverable-selfloop && 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 "deliverable-selfloop" agent skill from https://github.com/WILLOSCAR/research-units-pipeline-skills/tree/main/.codex/skills/deliverable-selfloop into .gemini/skills/deliverable-selfloop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deliverable-selfloop", 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 deliverable-selfloopInstalls 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 deliverable-selfloop -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/deliverable-selfloop .github/skills/deliverable-selfloop && 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 "deliverable-selfloop" agent skill from https://github.com/WILLOSCAR/research-units-pipeline-skills/tree/main/.codex/skills/deliverable-selfloop into .github/skills/deliverable-selfloop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deliverable-selfloop", 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 deliverable-selfloop -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 deliverable-selfloop --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/deliverable-selfloop .opencode/skills/deliverable-selfloop && 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 "deliverable-selfloop" agent skill from https://github.com/WILLOSCAR/research-units-pipeline-skills/tree/main/.codex/skills/deliverable-selfloop into .opencode/skills/deliverable-selfloop/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "deliverable-selfloop", 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.
deliverable-selfloopScore an existing reader-facing deliverable and emit a deterministic PASS/FAIL scorecard plus bounded repair plan; use after synthesis, not to rewrite content.
Deliverable Selfloop is an agent skill from WILLOSCAR/research-units-pipeline-skills. Score an existing reader-facing deliverable and emit a deterministic PASS/FAIL scorecard plus bounded repair plan; use after synthesis, not to rewrite content.
Its SKILL.md is about 520 tokens, which your agent loads only when the skill is triggered. The skill folder holds 5 other files, including scripts and reference files (for example `references/overview.md`, `references/quality_checklist.md` and `scripts/run.py`).
It sits in Research & Science. 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.
Deliverable Selfloop loads about 517 tokens when it runs, and up to ~1.2k if it reads all its reference files. Until then it costs about 45 tokens; SKILL.md has 193 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 193 words (~517 tokens).
“Runs the final quality gate for a reader-facing deliverable and always writes a PASS/FAIL report.”
SKILL.md and 3 other files (scripts, references) in .codex/skills/deliverable-selfloop of WILLOSCAR/research-units-pipeline-skills.
Open the folder on GitHubat commit c92912a
Deliverable Selfloop 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 |
|---|---|---|---|---|---|---|
| Deliverable Selfloop this skillWILLOSCAR/research-units-pipeline-skills | 513 | — | ~517 | Automated safety check: Pass | None | |
| Hypothesis Generationspacering-net/codeg | 3.8k | 15 repos | ~3.6k | Automated safety check: Notes | MIT | |
| GitHub Deep Researchbytedance/deer-flow | 83k | 5 repos | ~1.3k | Automated safety check: Pass | MIT | |
| Nature Paper CardYuan1z0825/nature-skills | 46k | 2 repos | ~2.1k | Automated safety check: Pass | Apache-2.0 | |
| Read arXiv Paperkarpathy/nanochat | 58k | 2 repos | ~494 | Automated safety check: Pass | MIT | |
| Content Research Writerweapp-tailwindcss/weapp-tailwindcss | 1.9k | 25 repos | ~3.5k | Automated safety check: Pass | MIT |
spacering-net/codeg
Structured hypothesis formulation from observations. An agent skill from spacering-net/codeg.
bytedance/deer-flow
Researches a GitHub repository over four rounds using the GitHub API and web search, then writes a structured markdown report with timeline, metrics and Mermaid diagrams.
Yuan1z0825/nature-skills
Builds a structured deep-reading card for one scientific paper, covering methods, how experiments support claims, limitations and research ideas, with a script to prepare the source.
karpathy/nanochat
Fetches the TeX source of an arXiv paper from its URL, reads it and writes a markdown summary tied to the nanochat project.
weapp-tailwindcss/weapp-tailwindcss
Assists in writing high-quality content by conducting research, adding citations, improving hooks, iterating on outlines, and providing real-time feedback on each section.
spacering-net/codeg
Structured manuscript/grant review with checklist-based evaluation.
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
Score an existing reader-facing deliverable and emit a deterministic PASS/FAIL scorecard plus bounded repair plan; use after synthesis, not to rewrite content. Deliverable Selfloop is an agent skill from WILLOSCAR/research-units-pipeline-skills. Score an existing reader-facing deliverable and emit a deterministic PASS/FAIL scorecard plus bounded repair plan; use after synthesis, not to rewrite content.
Deliverable Selfloop fits situations like: research & Science work in your project.
Run `npx skills add WILLOSCAR/research-units-pipeline-skills --skill deliverable-selfloop -a claude-code`. Or copy the skill folder (.codex/skills/deliverable-selfloop in WILLOSCAR/research-units-pipeline-skills) into .claude/skills/deliverable-selfloop in your project. Claude Code loads it when a task matches its description.
Run `npx skills add WILLOSCAR/research-units-pipeline-skills --skill deliverable-selfloop -a codex`. Or copy the skill folder (.codex/skills/deliverable-selfloop in WILLOSCAR/research-units-pipeline-skills) into .agents/skills/deliverable-selfloop 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 deliverable-selfloop -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/deliverable-selfloop, .gemini/skills/deliverable-selfloop, .github/skills/deliverable-selfloop and .opencode/skills/deliverable-selfloop in your project.
Going by SKILL.md and its folder, Deliverable Selfloop 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 Deliverable Selfloop or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
About 517 tokens (SKILL.md is roughly 2.1k 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 730 tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Deliverable Selfloop: Hypothesis Generation (spacering-net/codeg, 3.8k stars), GitHub Deep Research (bytedance/deer-flow, 83k stars), Nature Paper Card (Yuan1z0825/nature-skills, 46k stars) and Read arXiv Paper (karpathy/nanochat, 58k 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.