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-skills --skill msa-review-saasgit clone --depth 1 https://github.com/LegalQuants/lq-skillsWrote 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-skills/msa-review-saas)<a href="https://agentmods.dev/skills/legalquants/lq-skills/msa-review-saas"><img src="https://agentmods.dev/badge/skills/legalquants/lq-skills/msa-review-saas/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-skills/msa-review-saas"><img src="https://agentmods.dev/badge/skills/legalquants/lq-skills/msa-review-saas.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00132 | $0.04290 |
| Opus 5 | $0.00066 | $0.02145 |
| Sonnet 5 | $0.00026 | $0.00858 |
| Haiku 4.5 | $0.00013 | $0.00429 |
Grade A, and why
msa-review-saas 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 12d 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.
This is a copy
100% identical to msa-review-saas — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 258 lines — stays where its author put it; the contents beside it link to each section on GitHub.
MSA Review — SaaS
Conduct a structured review of a SaaS Master Services Agreement from the user's stated perspective and produce a report that an in-house lawyer can act on without redoing the analysis. The output is a draft for human review, not a final word; treat it accordingly.
This skill is calibrated to commercial-grade SaaS MSAs. It is not designed for: enterprise software license agreements (perpetual licenses), professional services agreements without a software component, hosted-but-not-SaaS arrangements (managed hosting, IaaS), or government / public-sector SaaS contracts (which have additional FedRAMP, FAR, and procurement-specific overlays).
When this skill applies
Apply when the user provides a SaaS MSA, Master Subscription Agreement, SaaS Agreement, Cloud Services Agreement, or substantively similar instrument and asks for review or redline guidance. The user's perspective — vendor or customer — fundamentally changes the analysis; require it before proceeding if not supplied.
Do not apply this skill to:
- Non-SaaS software agreements. Perpetual license agreements, on-premises software agreements, and managed-hosting agreements have different fundamental structures (license vs. subscription, on-premises vs. cloud, software-only vs. service). Tell the user this is the wrong skill.
- Order Forms or SOWs alone. Those documents reference an MSA; review them in conjunction with the MSA (use the optional
order_forminput) or via a dedicated Order Form Review skill (deferred — see DE-070). - DPAs / Privacy Addenda. Use DPA Checklist Review for those.
- NDAs accompanying the SaaS deal. Use NDA Review for those.
- Government / public-sector SaaS. Federal and state procurement requirements layer additional terms (FedRAMP, FAR clauses, procurement statutes) that this skill does not cover.
Inputs
The skill requires the document and perspective. If perspective is not provided:
"Before I review, which side are you on? Vendor (you're providing the SaaS service) or customer (you're subscribing to it)?"
What ships with it
7 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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.
- 12d ago First seen · 258 lines · 132 tokens per session scan A 58ef58570b6a
msa-review-saas is a skill published in the GitHub repository LegalQuants/lq-skills (54 stars, last pushed 2mo ago), licensed Apache-2.0. It adds 132 tokens to every session and 4,290 once invoked, about $0.0007 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to msa-review-saas, differing in 0 lines, and is treated as a copy.
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