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.
curl -O https://raw.githubusercontent.com/gaotiexinqu/OneResearchClaw/main/.cursor/skills/meeting-grounding/SKILL.mdgit clone --depth 1 https://github.com/gaotiexinqu/OneResearchClawWrote 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.
[](https://agentmods.dev/skills/gaotiexinqu/oneresearchclaw/meeting-grounding)<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.
<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>- NVIDIA SkillSpector pass
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.
| Model | Per session | Once 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 |
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.
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
- ...
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.
- 13d ago First seen · 276 lines · 36 tokens per session scan A a3fb12d9e27b
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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