Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add LegalQuants/lq-ai --skill nda-snapshotgit clone --depth 1 https://github.com/LegalQuants/lq-aiWrote 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/legalquants/lq-ai/nda-snapshot)<a href="https://agentmods.dev/skills/legalquants/lq-ai/nda-snapshot"><img src="https://agentmods.dev/badge/skills/legalquants/lq-ai/nda-snapshot/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/legalquants/lq-ai/nda-snapshot"><img src="https://agentmods.dev/badge/skills/legalquants/lq-ai/nda-snapshot.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 | $0.00095 | $0.01277 |
| Opus 5.5 | $0.00038 | $0.00511 |
| Sonnet 5.5 | $0.00019 | $0.00255 |
| Haiku 4.5 | $0.00010 | $0.00128 |
Grade A, and why
nda-snapshot 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 1mo 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 — 104 lines — stays where its author put it; the contents beside it link to each section on GitHub.
NDA Snapshot
A reference skill for the M3-C output_format: table mode, tuned for non-disclosure agreement portfolios. Produces a side-by-side grid of NDA-specific terms across N agreements — the in-house lawyer's "compare these NDAs we have with vendors / counterparties / candidates" workflow. Each cell carries a citation back to the source document; failed extractions render as not found rather than confidently-wrong text.
When this skill applies
Apply when the user has a portfolio of NDAs and wants to see how key substantive terms compare across them. Examples:
- "I have NDAs with our top 20 vendors — show me how the definition of Confidential Information varies and where the carveouts are tightest."
- "Compare the return/destruction obligations across these 10 candidate NDAs before we standardize our template."
- "What remedies are available across the 5 mutual NDAs in this M&A diligence box?"
Do not apply this skill to:
- Single-NDA review — use
nda-reviewfor one document at a time. - General contract comparison across mixed types — use
contract-snapshotfor the general Term/Survival/Carveouts/Governing-Law grid. - Free-form Q&A about an NDA — that's the regular Chat surface.
Pairing with the synthetic corpus
This skill ships paired with the synthetic NDA corpus in docs/quickstart/sample-ndas/ (5 mutual NDAs with varying terms). Operators trying LQ.AI for the first time can attach those 5 PDFs to a Knowledge Base and run this skill to see the tabular workflow end-to-end without committing real documents to the system.
Fork-and-tune notes
The four columns here are deliberately NDA-specific — they don't overlap with the general contract-snapshot columns (Term, Survival, Carveouts, Governing Law). Operators who want both can run the two skills in sequence, or fork this skill and add a Term/Governing-Law column for a combined view.
When forking for your own NDA template / counterparty patterns, common modifications include:
- Adding a Term column if you care about NDA duration (often 2–5 years).
- Adding a Notice of Compelled Disclosure column if you negotiate that provision frequently.
- Replacing the Permitted Recipients column with a narrower Affiliate Permission column if your business has a specific affiliate-sharing pattern.
- Bumping
minimum_inference_tierto 3 on all columns if you need higher-fidelity extraction for high-stakes deals.
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.
- 1mo ago First seen · 104 lines · 95 tokens per session scan A c9844001c869
nda-snapshot is a skill published in the GitHub repository LegalQuants/lq-ai (156 stars, last pushed today), licensed Apache-2.0. It adds 95 tokens to every session and 1,277 once invoked, about $0.0004 per session on Opus 5.5. 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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