Agent skill

Grounded Summary

by gaotiexinqu in gaotiexinqu/OneResearchClaw

Create a rich, evidence-preserving research report draft from a grounded note and its follow-up literature result.

MITAuto-check passedDocuments & Office

Install Grounded Summary

skills CLI
$ npx skills add gaotiexinqu/OneResearchClaw --skill grounded-summary -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install gaotiexinqu/OneResearchClaw grounded-summary --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/gaotiexinqu/OneResearchClaw.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.cursor/skills/grounded-summary .claude/skills/grounded-summary && rm -rf skills-src

Use ~/.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/

Facts

Skill name
grounded-summary
GitHub stars
450
Token cost
~5.1k tokens
SKILL.md length
2,722 words
Files
1
Skills in repo
15
Repo updated
First seen
Licence
MIT

At a glance

Create a rich, evidence-preserving research report draft from a grounded note and its follow-up literature result.

  • Works in 12 steps: Literal Copy (Section 4.1) → Verification Step — MANDATORY → Thematic Synthesis (Sections 1, 2, 3,… → …
  • Tasks that involve Deep research
  • SKILL.md covers When to Use, Inputs, Output and Two-Phase Execution Model, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Grounded Summary is an agent skill from gaotiexinqu/OneResearchClaw. Create a rich, evidence-preserving research report draft from a grounded note and its follow-up literature result. This is the main report-writing stage of the middle pipeline, not a compression memo.

Its SKILL.md is about 5.1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Documents & Office, covering Deep research and Report writing. The repository describes itself as: Any research. One Claw. 🦞 From any materials to research with fully autonomous & skill-driven researcher. The licence is MIT.

When your agent uses it

  • Tasks that involve Deep research
  • Tasks that involve Report writing

Example prompts

  • “/grounded-summary”

Workflow steps

12 steps, taken from the step headings in SKILL.md.

  1. Literal Copy (Section 4.1)
  2. Verification Step — MANDATORY
  3. Thematic Synthesis (Sections 1, 2, 3, 4.2, 5, 6, 7, 8)
  4. Do not treat this as a compression step
  5. The literature belongs in the report body
  6. Organize primarily by questions, themes, or design issues — but preserve explicit paper-level deep analysis when it matters
  7. Preserve mechanism, evidence, and limitation — not just conclusions
  8. Preserve evidence-strength distinctions
  9. Preserve real uncertainty and disagreement
  10. Do not summarize the search process itself
  11. Prefer paragraphs for substantive analysis
  12. Do not optimize for shortness

What it can do on your machine

Read from SKILL.md and the folder at commit 37e86c6. 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

    No scripts in the folder and no shell commands in SKILL.md.

    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

Grounded Summary loads about 5.1k tokens when it runs. Until then it costs about 54 tokens; SKILL.md has 2,722 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~54
When it runs · the whole SKILL.md, loaded when a task matches
~5.1k

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

The full file from gaotiexinqu/OneResearchClaw at commit 37e86c6, republished under its MIT licence (© gaotiexinqu). 2,722 words, ~5,051 tokens.

Download SKILL.mdSave it as .claude/skills/grounded-summary/SKILL.md (or your agent's skills folder).
name
grounded-summary
description
Create a rich, evidence-preserving research report draft from a grounded note and its follow-up literature result. This is the main report-writing stage of the middle pipeline, not a compression memo.

Grounded Summary

This skill produces a substantial, evidence-rich research report draft from:

  1. a grounded note, and
  2. a follow-up literature result.

It is not limited to meeting notes. It applies to any upstream grounded note produced by the grounding family, including:

  • meeting-grounding
  • document-grounding
  • pptx-grounding
  • table-grounding
  • archive-grounding

The output of this skill is the main report draft for the current grounded item.

Write the result to:

  • data/report_inputs/<ground_id>/summary.md

This file is called summary.md for pipeline compatibility, but it should not behave like a short summary memo. It should behave like a full internal research report draft that preserves the important depth of both the grounded note and lit.md.


When to Use

Use this skill when:

  • a grounded note already exists
  • a literature result already exists
  • you want to turn those materials into a substantial report draft
  • you want the literature analysis to be integrated into the report body rather than reduced to a few bullets

Do not use this skill when:

  • the grounded note has not been written yet
  • the literature result has not been written yet
  • you only want the raw literature result without report writing
  • you only want final rendering/export to pdf/docx/slides/audio

Inputs

How to get ground_id

Read ground_id.txt from the grounding bundle to get the stable pipeline identifier:

data/grounded_notes/<ground_id>/ground_id.txt

Do NOT generate a new ground_id. All downstream directories reuse the same ground_id.

This skill assumes the following inputs already exist:

  1. data/grounded_notes/<ground_id>/grounded.md
  2. data/lit_results/<ground_id>/lit.md

Optional supporting input:

  1. data/lit_inputs/<ground_id>/search_results.json
Pipeline Language Strategy

This skill is a mid-pipeline stage. Its output (summary.md) is always written in English only, regardless of the output_lang parameter.

The output_lang parameter is handled exclusively by the export layer (report-export) and has no effect on this skill. When output_lang is set to zh, the English summary.md is translated into Chinese only at the final export step.

Do not apply language translation within this skill. If the source grounded note or literature result contains content in another language, summarize that content into English as part of the report draft.

Important input rule

The grounded note may come from different grounding skills and may use different section names.

Read the actual grounded note schema as written.

Do not force all grounded notes into one fake unified schema.

Instead, interpret the grounded note through its own sections and extract the following semantic slots where possible:

  • the main topic / purpose
  • the main points or discussion points
  • key findings / claims / conclusions
  • risks / constraints / ambiguities
  • unresolved issues / disagreements / open questions
  • suggested next steps
  • search keywords
Schema-aware reading guidance

Typical mappings include:

Meeting Grounding
  • topic -> Meeting Topic
  • main points -> Main Discussion Points
  • conclusions -> Key Conclusions
  • risks -> Constraints / Risks
  • open issues -> Disagreements or Unresolved Issues
  • next steps -> Suggested Next Steps
  • keywords -> Search Keywords
Document Grounding
  • topic -> Main Topic / Purpose
  • main points -> Main Points
  • findings -> Key Findings / Claims
  • risks -> Constraints / Risks
  • evidence -> Important Non-Textual Elements
  • open issues -> Unresolved Issues
  • next steps -> Suggested Next Steps
  • keywords -> Search Keywords
PPTX Grounding
  • topic -> Main Topic / Purpose
  • structure -> Deck Structure / Narrative Flow
  • main points -> Main Points
  • evidence -> Important Evidence and Assets
  • notes -> Speaker Notes Signals
  • risks -> Gaps / Risks / Ambiguities
  • next steps -> Suggested Next Steps
  • keywords -> Search Keywords
Table Grounding
  • topic -> Main Topic / Purpose
  • fields -> Main Fields
  • signals -> Key Signals
  • anomalies -> Anomalies / Outliers
  • conclusions -> Possible Supported Conclusions
  • risks -> Risks / Data Quality Issues
  • next checks -> Suggested Next Checks
  • keywords -> Search Keywords
Archive Grounding
  • topic -> Archive Overview
  • materials -> Included Materials
  • processed items -> Successfully Processed Child Items
  • cross-material signals -> Key Signals Across Materials
  • failures -> Skipped / Unsupported / Failed Items
  • next steps -> Suggested Next Steps
  • keywords -> Search Keywords

Output

Write exactly one file:

  • data/report_inputs/<ground_id>/summary.md
Output role

Although the filename is summary.md, this file is the primary report draft for the current grounded item.

It should be:

  • rich enough that a reader can understand the project without opening lit.md
  • detailed enough that important literature analysis is still present in the report body
  • structured enough that grounded-review only needs to refine and verify it, not rewrite it from scratch

It should not be:

  • a thin memo
  • a bullet-only recap
  • a compressed executive abstract
  • a search log
  • a placeholder draft waiting for the “real” report to be written later

Two-Phase Execution Model

Section 4.1 and Section 4.2 must be produced in two strictly ordered phases, not in a single interleaved pass. Skipping or collapsing this order is the primary cause of literature depth loss in the summary stage.

Phase 1 — Literal Copy (Section 4.1)

This phase must complete before any writing for Section 4.2 begins.

  1. Read data/lit_results/<ground_id>/lit.md
  2. Locate the ## Detailed Analysis of Opened Papers section
  3. Locate the ## Newly Strengthened / Newly Added Papers from Downloaded PDFs section (if present)
  4. Copy the full body of each section verbatim into Section 4.1 under the corresponding sub-headings
  5. Do not paraphrase, condense, merge, or rewrite during this phase

Section 4.1 is a literal carry-over zone, not a writing zone. The only allowed action is copying.

Phase 1 Verification Step — MANDATORY

After copying, verify that the following conditions are all true before proceeding:

CheckHow to verify
All opened papers are presentCount paper entries in lit.md ## Detailed Analysis of Opened Papers vs Section 4.1. They must match.
PDF-refined papers are presentCount entries in lit.md ## Newly Strengthened / Newly Added Papers from Downloaded PDFs vs Section 4.1. They must match.
Paper body was not compressedFor each paper, compare the word count of the lit.md paper body vs the Section 4.1 paper body. Section 4.1 should be >= 90% of lit.md word count per paper.
Subsection structure preservedCheck that each paper retains its Problem and Task Setting, Methodology, Main Evidence, Relevance, Limits (or equivalent) structure.
Wording preservedThe paper body content should be identical to lit.md, not paraphrased.

If any check fails, go back and fix Section 4.1 before proceeding to Phase 2.

Phase 2 — Thematic Synthesis (Sections 1, 2, 3, 4.2, 5, 6, 7, 8)

After Phase 1 verification passes, write all remaining sections. This is where analysis, synthesis, and judgment happen. Phase 2 should reference the Phase 1 material but should not modify it.


Writing Goal

Write a substantial research report draft that organizes and preserves the depth of both inputs.

The goal is not to compress the grounded note and lit.md into a small number of bullets.

The goal is to produce a report that lets a reader answer:

  • What is the real problem or task setting?
  • What is already established from the grounded input?
  • What deep analysis does the literature provide for the most relevant questions?
  • Which parts of the literature directly support the current project, and which parts only partially or directionally support it?
  • What remains unresolved after combining grounded evidence and literature evidence?
  • What should be done next, and why?

Critical Writing Rules

1. Do not treat this as a compression step

This skill is not a “compress everything into a short memo” stage.

If lit.md contains meaningful deep analysis, that depth must be carried into the report draft.

Do not replace multi-paragraph analysis with one-line bullets just because it is called summary.md.

2. The literature belongs in the report body

The most relevant literature analysis must appear in the main body of the report.

Do not push the literature into:

  • a tiny “search supports” section
  • a trailing appendix-like note
  • a few generic bullets with no mechanism or limitation detail

The report body should contain substantive literature-grounded discussion.

3. Organize primarily by questions, themes, or design issues — but preserve explicit paper-level deep analysis when it matters

The report as a whole should not collapse into a paper-by-paper list such as:

  • Paper A says ...
  • Paper B says ...
  • Paper C says ...

Instead, the report should primarily be organized around:

  • research questions
  • method components
  • design choices
  • engineering tensions
  • evaluation concerns
  • evidence gaps

However, this rule does not mean that important paper-level deep analysis should be flattened away.

If lit.md already contains substantial paper-level analyses that materially support the project, the report must preserve them explicitly inside Section 4.1 Preserved Detailed Paper Analyses rather than reducing them to theme-only synthesis.

Use thematic organization for the report-level logic, but keep explicit paper-level deep analysis where that is the best way to preserve mechanism, evidence, and limitation detail.

4. Preserve mechanism, evidence, and limitation — not just conclusions

When a literature item matters, preserve the parts that make it useful, such as:

  • the core mechanism or method idea
  • the relevant setting or experimental condition
  • the main finding
  • the support boundary
  • the limitation or mismatch to the current project
  • the concrete implication for the current project

Do not keep only the paper’s headline conclusion.

5. Preserve evidence-strength distinctions

Use wording such as:

  • strongly supported
  • directly supported in a similar setting
  • partially supported
  • directionally supported
  • conceptually relevant but not directly validated here
  • limited evidence
  • unresolved by current evidence

Do not upgrade:

  • analogous precedent
  • conceptual support
  • partial similarity
  • general intuition

into direct proof.

6. Preserve real uncertainty and disagreement

If the grounded note or lit.md reveals disagreement, ambiguity, missing evidence, or unresolved design trade-offs, preserve them clearly.

Do not make the report sound more settled than the evidence supports.

7. Do not summarize the search process itself

Do not report search execution statistics in the main report body, such as:

  • number of queries
  • number of hits
  • number of opened links
  • number of downloaded papers
  • coverage diagnostics
  • manifest-style file inventories

These belong to research QA or logs, not to the report body.

8. Prefer paragraphs for substantive analysis

Use bullets only where bullets are naturally better, such as:

  • concise findings inventories
  • action items
  • risk lists

For the main analysis sections, prefer full paragraphs and thematic subsections.

9. Do not optimize for shortness

There is no reward for making the report shorter.

If the inputs are rich, the report should also be rich.

Avoid arbitrary brevity targets.

Show full SKILL.md (1,110 more words)Show less
10. Preserve high-value specifics

If the grounded note or lit.md includes any of the following, keep them when they materially affect understanding:

  • important quantitative facts
  • concrete failure modes
  • architecture splits
  • competing design branches
  • data or evaluation caveats
  • specific mechanism-level insights
  • explicit trade-offs
  • conflicts between literature and current assumptions
11. Section 4.1 copy is a mandatory execution phase, not a writing preference

The Phase 1 literal copy of lit.md paper analysis bodies into Section 4.1 is a mandatory execution step, not a writing guideline. See the Two-Phase Execution Model section above for the required procedure and the mandatory verification step. Rule #1 through #10 above do not apply to Phase 1 content — they apply only to Sections 1, 2, 3, 4.2, 5, 6, 7, and 8.


Required Output Structure

Write the report draft with the following structure.

Research Report Draft

1. Executive Overview

Write 2–4 substantial paragraphs.

This section should include:

  • the core problem or task setting
  • the current state of understanding
  • the most important grounded findings
  • the most important literature-backed insights
  • the main unresolved bottleneck or decision point
  • why the issue matters for the current project
Requirement

This section should be concise relative to the full report, but still specific.

Do not reduce it to a tiny abstract.


2. Problem Setting and Source Context

Write 2–5 substantial paragraphs.

This section should explain:

  • what the grounded source material is about
  • what project, task, or problem is currently being discussed
  • what constraints, goals, stakes, or context are already known from the grounded note
  • what the current system state or decision context is

When useful, include:

  • relevant source-specific structure
  • major discussion branches
  • setup assumptions
  • important non-textual evidence from the grounded note
Requirement

This section should make the report understandable even to a reader who has not opened grounded.md.


3. Grounded Findings from the Source Material

Write 3–8 focused subsections or paragraphs, depending on the material.

This section should preserve the most important information coming directly from grounded.md, such as:

  • concrete observations
  • current hypotheses
  • design branches
  • current conclusions
  • constraints and risks
  • anomalies or disagreements
  • implementation or evaluation concerns
Requirement

This section should preserve the source-side substance rather than restating the topic in generic terms.

Do not flatten grounded findings into vague project summaries.


4. Literature-Based Deep Analysis

This is the main body of the report.

It should contain two complementary layers:

4.1 Preserved Detailed Paper Analyses

See the Two-Phase Execution Model section above for the mandatory Phase 1 copy procedure and verification step.

This subsection is where the Phase 1 literal copy result is placed. The full bodies of ## Detailed Analysis of Opened Papers and ## Newly Strengthened / Newly Added Papers from Downloaded PDFs from lit.md must appear here verbatim — not paraphrased, not condensed, not selectively trimmed.

4.2 Integrated Thematic Assessment

Phase 2 synthesis. Write 3–6 substantial thematic subsections that organize the literature around a question, mechanism, design issue, or evidence theme. This synthesis should reference and build upon the Phase 1 paper analyses — it should not modify or compress them.

Examples of valid subsection styles:

  • support for a proposed supervision strategy
  • evidence for a decomposition or stage design
  • evidence for a specific architecture split
  • lessons about reward design, data curation, retrieval, or evaluation
  • where related methods succeed or fail
  • transfer limits from similar but non-identical settings

For each thematic subsection, include most of the following when applicable:

  1. Why this theme matters for the current project
  2. What the literature says, with enough detail to preserve mechanism and evidence
  3. How strong the support is for the current project
  4. What does not transfer cleanly or remains mismatched
  5. What the practical implication is for the current project
Requirement

Do not collapse Section 4 into generic bullets or a thin thematic recap.

Section 4.1 must preserve the full standalone paper-analysis body from lit.md with aligned paper-level coverage and approximately aligned paper count. Section 4.2 must synthesize that preserved literature body into project-level thematic judgment.

If lit.md contains rich downloaded-PDF refinements or explicit paper-level analyses, the corresponding value must still be visible in this section rather than being flattened into generic conclusions.


5. Integrated Assessment for the Current Project

Write 2–5 substantial paragraphs.

This section should combine the grounded findings and literature analysis to answer questions like:

  • which directions currently look most justified
  • which assumptions are only weakly supported
  • which branches deserve further testing
  • which claims should be treated cautiously
  • what the current evidence does and does not allow you to conclude
Requirement

This section should not merely repeat Sections 3 and 4.

It should synthesize them into a project-level judgment.


6. Unresolved Questions and Decision-Critical Gaps

Write 4–8 items, each as a substantial bullet or short paragraph.

Each item should state:

  • the unresolved question or gap
  • why it matters
  • what evidence is currently missing or inconclusive
  • what kind of experiment, analysis, or check would reduce the uncertainty
Requirement

Do not write generic “future work” bullets.

These should be real decision-critical uncertainties.


Write 4–7 concrete actions.

Each action should:

  • follow directly from the report body
  • be specific enough to execute
  • reflect real leverage for the project
  • avoid invented owners, deadlines, or commitments

Good action types include:

  • targeted ablations
  • controlled comparisons
  • direct replications of a literature mechanism
  • evaluation redesigns
  • deeper reads of a narrow high-value literature cluster
  • data checks or error analysis
Requirement

Explain why each action matters, not just what to do.


8. Key Risks, Caveats, and Evidence Boundaries

Write 4–8 items.

This section should include risks such as:

  • methodological risks
  • evidence-transfer risks
  • evaluation risks
  • data-quality risks
  • overfitting or generalization risks
  • mismatch between literature settings and the current project setting
  • hidden assumptions in the current plan
Requirement

Phrase weak support as an evidence risk about the method or plan, not as a complaint about search execution.


Writing Strength Requirement

The report draft should read like:

  • a serious internal research report
  • a report that can already stand on its own
  • a draft that preserves real analysis depth
  • a document strong enough that review should mainly refine it rather than rewrite it

It should not read like:

  • a raw search log
  • a manifest of downloaded papers
  • a chat reply
  • a short memo pretending to be a report
  • a bullet-only recap of a much richer literature result

Completion Criteria

This task is complete only if:

  1. the grounded note was actually read
  2. the literature result was actually read
  3. a substantial report draft was written to:
    • data/report_inputs/<ground_id>/summary.md
  4. the report follows the required section structure above
  5. the report preserves relevant deep literature analysis in the main body
  6. the report does not drift into search-process recap or manifest listing
  7. the report is clearly richer and more informative than a compressed memo

© gaotiexinqu, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in .cursor/skills/grounded-summary of gaotiexinqu/OneResearchClaw.

Open the folder on GitHubat commit 37e86c6

Compare with similar skills

Grounded Summary 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.

Grounded Summary compared with similar skills
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Grounded Summary this skillgaotiexinqu/OneResearchClaw450—~5.1kAutomated safety check: PassMIT
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Policy Keyword Trackerzhaohui-yang/official-document-drafting140—~555Automated safety check: PassCustom licence
Long Form Report WriterNVIDIA-AI-Blueprints/deep-researcher-agent886—~2.4kAutomated safety check: PassApache-2.0
Horizontal-Vertical Deep ResearchKKKKhazix/khazix-skills21k—~2.1kAutomated safety check: PassMIT
Graphic EbookVarnan-Tech/opendirectory674—~5kAutomated safety check: PassMIT

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Questions about Grounded Summary

What does Grounded Summary do?

Create a rich, evidence-preserving research report draft from a grounded note and its follow-up literature result. Grounded Summary is an agent skill from gaotiexinqu/OneResearchClaw. Create a rich, evidence-preserving research report draft from a grounded note and its follow-up literature result.

When should I use Grounded Summary?

Grounded Summary fits situations like: tasks that involve Deep research; tasks that involve Report writing.

How do I install Grounded Summary in Claude Code?

Run `npx skills add gaotiexinqu/OneResearchClaw --skill grounded-summary -a claude-code`. Or copy the skill folder (.cursor/skills/grounded-summary in gaotiexinqu/OneResearchClaw) into .claude/skills/grounded-summary in your project. Claude Code loads it when a task matches its description.

How do I install Grounded Summary in Codex?

Run `npx skills add gaotiexinqu/OneResearchClaw --skill grounded-summary -a codex`. Or copy the skill folder (.cursor/skills/grounded-summary in gaotiexinqu/OneResearchClaw) into .agents/skills/grounded-summary in your project. Codex loads it when a task matches its description.

Can I use Grounded Summary 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 gaotiexinqu/OneResearchClaw --skill grounded-summary -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/grounded-summary, .gemini/skills/grounded-summary, .github/skills/grounded-summary and .opencode/skills/grounded-summary in your project.

What does Grounded Summary need to run?

SKILL.md names no scripts, command-line tools or credentials: Grounded Summary is instructions for the agent only.

Does Grounded Summary 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 Grounded Summary 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 Grounded Summary use?

Grounded Summary is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Grounded Summary use?

About 5.1k tokens (SKILL.md is roughly 20k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Grounded Summary?

Skills that share tags, products or a category with Grounded Summary: Long Form Content Frameworks (rampstackco/claude-skills, 945 stars), Policy Keyword Tracker (zhaohui-yang/official-document-drafting, 140 stars), Long Form Report Writer (NVIDIA-AI-Blueprints/deep-researcher-agent, 886 stars) and Horizontal-Vertical Deep Research (KKKKhazix/khazix-skills, 21k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Grounded Summary?

gaotiexinqu (a GitHub user) maintains it in gaotiexinqu/OneResearchClaw, which has 450 GitHub stars. The repository holds 15 skills in this directory. The repository was last updated on May 9, 2026.

Source: gaotiexinqu/OneResearchClaw on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.