Novelty Check
GRIND-Lab-Core/night_owl_research_agent
Validates that a research idea is genuinely novel vs. An agent skill from GRIND-Lab-Core/night_owl_research_agent.
Assess research idea novelty through systematic literature search.
Install Novelty Assessment
$ npx skills add lingzhi227/agent-research-skills --skill novelty-assessment -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install lingzhi227/agent-research-skills novelty-assessment --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/lingzhi227/agent-research-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/novelty-assessment .claude/skills/novelty-assessment && 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 "novelty-assessment" agent skill from https://github.com/lingzhi227/agent-research-skills/tree/main/skills/novelty-assessment into .claude/skills/novelty-assessment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "novelty-assessment", 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/lingzhi227/agent-research-skills/tree/main/skills/novelty-assessmentType 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 lingzhi227/agent-research-skills --skill novelty-assessment -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install lingzhi227/agent-research-skills novelty-assessment --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lingzhi227/agent-research-skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/novelty-assessment .agents/skills/novelty-assessment && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "novelty-assessment" agent skill from https://github.com/lingzhi227/agent-research-skills/tree/main/skills/novelty-assessment into .agents/skills/novelty-assessment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "novelty-assessment", 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 lingzhi227/agent-research-skills --skill novelty-assessment -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install lingzhi227/agent-research-skills novelty-assessment --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lingzhi227/agent-research-skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/novelty-assessment .cursor/skills/novelty-assessment && 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 "novelty-assessment" agent skill from https://github.com/lingzhi227/agent-research-skills/tree/main/skills/novelty-assessment into .cursor/skills/novelty-assessment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "novelty-assessment", 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/lingzhi227/agent-research-skills.git --path skills/novelty-assessment--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 lingzhi227/agent-research-skills --skill novelty-assessment -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install lingzhi227/agent-research-skills novelty-assessment --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lingzhi227/agent-research-skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/novelty-assessment .gemini/skills/novelty-assessment && 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 "novelty-assessment" agent skill from https://github.com/lingzhi227/agent-research-skills/tree/main/skills/novelty-assessment into .gemini/skills/novelty-assessment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "novelty-assessment", 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 lingzhi227/agent-research-skills novelty-assessmentInstalls 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 lingzhi227/agent-research-skills --skill novelty-assessment -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/lingzhi227/agent-research-skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/novelty-assessment .github/skills/novelty-assessment && 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 "novelty-assessment" agent skill from https://github.com/lingzhi227/agent-research-skills/tree/main/skills/novelty-assessment into .github/skills/novelty-assessment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "novelty-assessment", 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 lingzhi227/agent-research-skills --skill novelty-assessment -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install lingzhi227/agent-research-skills novelty-assessment --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/lingzhi227/agent-research-skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/novelty-assessment .opencode/skills/novelty-assessment && 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 "novelty-assessment" agent skill from https://github.com/lingzhi227/agent-research-skills/tree/main/skills/novelty-assessment into .opencode/skills/novelty-assessment/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "novelty-assessment", 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
novelty-assessment- GitHub stars
- 390
- Token cost
- ~716 tokens
- SKILL.md length
- 204 words
- Files
- 2 (incl. references)
- Skills in repo
- 31
- Repo updated
- First seen
- Licence
- None found
At a glance
Assess research idea novelty through systematic literature search.
- Works in 4 steps: Understand the Idea → Multi-Round Literature Search (up to 10… → Make Decision → …
- Tasks that involve Literature review
- SKILL.md covers Input, Scripts, References and Workflow, plus 4 more sections
- Calls python
What it does
Novelty Assessment is an agent skill from lingzhi227/agent-research-skills. Assess research idea novelty through systematic literature search. Multi-round search-evaluate loops with harsh critic persona. Binary novel/not-novel decision with justification. Use before committing to a research direction.
Its SKILL.md is about 720 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/assessment-prompts.md`).
It sits in Research & Science, covering Literature review, Creative writing and fiction and Hypothesis generation. The repository describes itself as: Skills for Claude Code — deep-research: systematic academic literature review.
When your agent uses it
- Tasks that involve Literature review
- Tasks that involve Creative writing and fiction
- Tasks that involve Hypothesis generation
Example prompts
- “/novelty-assessment”
Requirements
- Python 3
Workflow steps
4 steps, taken from the step headings in SKILL.md.
- Understand the Idea
- Multi-Round Literature Search (up to 10 rounds)
- Make Decision
- Position the Idea
What it can do on your machine
Read from SKILL.md and the folder at commit 9e6c085. 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:
python
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
Novelty Assessment loads about 716 tokens when it runs, and up to ~1.7k if it reads all its reference files. Until then it costs about 61 tokens; SKILL.md has 204 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
Without a licence we can't republish the file, so here is its outline and opening line. It has 204 words (~716 tokens).
“Rigorously assess whether a research idea is novel through systematic literature search.”
- name
- novelty-assessment
- argument-hint
- idea
Files
SKILL.md and 1 other file (references) in skills/novelty-assessment of lingzhi227/agent-research-skills.
- SKILL.md
- references/assessment-prompts.md
Open the folder on GitHubat commit 9e6c085
Compare with similar skills
Novelty Assessment 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 |
|---|---|---|---|---|---|---|
| Novelty Assessment this skilllingzhi227/agent-research-skills | 390 | — | ~716 | Automated safety check: Pass | None | |
| Novelty CheckGRIND-Lab-Core/night_owl_research_agent | 106 | — | ~1k | Automated safety check: Pass | None | |
| Nature Paper CardYuan1z0825/nature-skills | 47k | 2 repos | ~2.1k | Automated safety check: Pass | Apache-2.0 | |
| Research SurveyEvoScientist/EvoSkills | 478 | 3 repos | ~2.5k | Automated safety check: Pass | Apache-2.0 | |
| Research Proposalluwill/research-skills | 862 | — | ~4.5k | Automated safety check: Notes | None | |
| Paper NavigatorEvoScientist/EvoSkills | 478 | — | ~6.3k | Automated safety check: Notes | Apache-2.0 |
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Paper Navigator
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Find and read academic papers (S2 + arXiv). An agent skill from EvoScientist/EvoSkills.
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全自动科研平台：从论文检索、知识图谱构建、研究缺口分析、假设生成，到实验执行、论文写作、自审修正的完整科研流水线。Agent 按此 Skill 的指令自主推进研究流程。触发场景：做研究、搜论文、找研究缺口、生成假设、跑实验、写论文、文献综述、benchmark对比 / Triggers: research, literature review, paper search, hypothesis…
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Related
Categories
Questions about Novelty Assessment
What does Novelty Assessment do?
Assess research idea novelty through systematic literature search. Novelty Assessment is an agent skill from lingzhi227/agent-research-skills. Assess research idea novelty through systematic literature search.
When should I use Novelty Assessment?
Novelty Assessment fits situations like: tasks that involve Literature review; tasks that involve Creative writing and fiction; tasks that involve Hypothesis generation.
How do I install Novelty Assessment in Claude Code?
Run `npx skills add lingzhi227/agent-research-skills --skill novelty-assessment -a claude-code`. Or copy the skill folder (skills/novelty-assessment in lingzhi227/agent-research-skills) into .claude/skills/novelty-assessment in your project. Claude Code loads it when a task matches its description.
How do I install Novelty Assessment in Codex?
Run `npx skills add lingzhi227/agent-research-skills --skill novelty-assessment -a codex`. Or copy the skill folder (skills/novelty-assessment in lingzhi227/agent-research-skills) into .agents/skills/novelty-assessment in your project. Codex loads it when a task matches its description.
Can I use Novelty Assessment 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 lingzhi227/agent-research-skills --skill novelty-assessment -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/novelty-assessment, .gemini/skills/novelty-assessment, .github/skills/novelty-assessment and .opencode/skills/novelty-assessment in your project.
What does Novelty Assessment need to run?
Going by SKILL.md and its folder, Novelty Assessment needs the command-line tools its instructions call (python). Our summary lists: Python 3.
Does Novelty Assessment 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 Novelty Assessment 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 Novelty Assessment use?
No licence was found for Novelty Assessment or its repository. Without one, default copyright applies: ask the author before reusing or redistributing it.
How many tokens does Novelty Assessment use?
About 716 tokens (SKILL.md is roughly 2.9k 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 945 tokens, read only when the agent opens those files.
What are the alternatives to Novelty Assessment?
Skills that share tags, products or a category with Novelty Assessment: Novelty Check (GRIND-Lab-Core/night_owl_research_agent, 106 stars), Nature Paper Card (Yuan1z0825/nature-skills, 47k stars), Research Survey (EvoScientist/EvoSkills, 478 stars) and Research Proposal (luwill/research-skills, 862 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Novelty Assessment?
lingzhi227 (a GitHub user) maintains it in lingzhi227/agent-research-skills, which has 390 GitHub stars. The repository holds 31 skills in this directory. The repository was last updated on February 27, 2026.
Source: lingzhi227/agent-research-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.