OneResearchClaw: Skill for Cursor

.cursor/skills/meeting-grounding/SKILL.md

meeting-grounding is a skill for Cursor from gaotiexinqu/OneResearchClaw. It costs 36 tokens per session (1,774 once invoked), scanned A, original, MIT.

A workflow that turns a messy, multi-speaker meeting transcript into structured notes for later work. It can separate independent discussion topics when a meeting covers several subjects.

In plain words
What is it for?
Use it after meetings to create a stable grounding note from raw transcripts, including transcripts with interruptions, incomplete sentences, or unclear decisions.
Why use it?
It removes repetition and filler and makes decisions, topics, and follow-up information easier for other workflows to use.

Skill for Cursor

Written for Cursor: installed under .cursor/.

This is gaotiexinqu/OneResearchClaw's own configuration. It tells Cursor how to work on OneResearchClaw itself, so it is not a mod to install elsewhere. Copy it as a starting point and replace the rules that are about this project. Everything OneResearchClaw configures →

Reuse

Borrowing it

Nothing to install: this file belongs to gaotiexinqu/OneResearchClaw. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file
curl -O https://raw.githubusercontent.com/gaotiexinqu/OneResearchClaw/main/.cursor/skills/meeting-grounding/SKILL.md
Clone the repo
git clone --depth 1 https://github.com/gaotiexinqu/OneResearchClaw

Made for: Cursor.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for meeting-grounding

README.md
[![agentmods](https://agentmods.dev/badge/skills/gaotiexinqu/oneresearchclaw/meeting-grounding/github.svg)](https://agentmods.dev/skills/gaotiexinqu/oneresearchclaw/meeting-grounding)
Your own site
<a href="https://agentmods.dev/skills/gaotiexinqu/oneresearchclaw/meeting-grounding"><img src="https://agentmods.dev/badge/skills/gaotiexinqu/oneresearchclaw/meeting-grounding/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for meeting-grounding

Your own site · 80×15
<a href="https://agentmods.dev/skills/gaotiexinqu/oneresearchclaw/meeting-grounding"><img src="https://agentmods.dev/badge/skills/gaotiexinqu/oneresearchclaw/meeting-grounding.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 36 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,774 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00036 $0.01774
Opus 5 $0.00018 $0.00887
Sonnet 5 $0.00007 $0.00355
Haiku 4.5 $0.00004 $0.00177

Measured 13d ago against content hash a3fb12d9e27b, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-12, from the pricing page.

Security

Grade A, and why

meeting-grounding scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 13d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.cursor/skills/meeting-grounding/SKILL.md · 276 lines

How it starts

The opening of the file, as written. The whole thing — 276 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Meeting Grounding

Convert a raw meeting transcript into a structured meeting grounding output.

This skill is for meeting grounding, not a narrative recap. It should produce a stable intermediate note that is easy to read and easy for downstream skills to use.

This skill supports both:

  • single-topic meetings
  • multi-topic meetings where the transcript contains multiple discussion blocks that should be researched separately downstream

When to Use

Use this skill when:

  • the input is a raw meeting transcript
  • the transcript is noisy, repetitive, or multi-speaker
  • you need structured meeting notes before follow-up work

Do not use this skill when:

  • the input is already a structured memo or action-item list
  • the task is to write a polished final report
  • the input is not a meeting/discussion transcript

Input

A plain text meeting transcript.

The transcript may contain:

  • speaker labels
  • timestamps
  • interruptions
  • repeated phrases
  • incomplete sentences
  • filler language
  • partial or ambiguous decisions

Output

This skill always produces a meeting-level grounding note.

Required output

Always produce:

grounded.md

This file must follow the meeting grounding schema below.

Optional multi-topic outputs

If the meeting clearly contains multiple independent topic blocks that should be researched separately downstream, also produce:

topic_manifest.json
child_outputs/topic_01/grounded.md
child_outputs/topic_02/grounded.md
...

Do not create topic children unless there is strong evidence that the meeting contains multiple discussion blocks that should remain separate for downstream research, summary, review, and reporting.

Meeting-level grounded.md schema

Return markdown with exactly these sections. If a section has no reliable evidence, write None identified.

# Meeting Grounding

## 1. Meeting Topic
[2–4 sentence statement of the meeting’s main topic and purpose.
If the meeting genuinely contains multiple distinct topics, summarize the overall meeting scope at a higher level.]

## 2. Main Discussion Points
- [One bullet per major discussion block or major sub-topic]

## 3. Key Conclusions
- [Only items explicitly agreed, decided, confirmed, ruled out, or clearly deferred]
- [If none: None identified]

## 4. Constraints / Risks
- [Only constraints or risks explicitly stated, or strongly supported by repeated evidence]
- [If none: None identified]

## 5. Disagreements or Unresolved Issues
- [Preserve disagreements, uncertainty, and open questions]
- [If none: None identified]

## 6. Suggested Next Steps
- [Concrete follow-up actions or suggested follow-ups grounded in the transcript]
- [Do not invent owners, deadlines, or commitments]
- [If none: None identified]

## 7. Search Keywords

### Problem Keywords
- ...

### Method / Solution Keywords
- ...

### Domain / Constraint Keywords
- ...

Read the full file on GitHub · 276 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 13d ago First seen · 276 lines · 36 tokens per session scan A a3fb12d9e27b

Subscribe to this mod's changes

meeting-grounding is a skill published in the GitHub repository gaotiexinqu/OneResearchClaw (446 stars, last pushed 4mo ago), licensed MIT. It adds 36 tokens to every session and 1,774 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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