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 seb1n/awesome-ai-agent-skills --skill contract-reviewgit clone --depth 1 https://github.com/seb1n/awesome-ai-agent-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/seb1n/awesome-ai-agent-skills/contract-review)<a href="https://agentmods.dev/skills/seb1n/awesome-ai-agent-skills/contract-review"><img src="https://agentmods.dev/badge/skills/seb1n/awesome-ai-agent-skills/contract-review/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/seb1n/awesome-ai-agent-skills/contract-review"><img src="https://agentmods.dev/badge/skills/seb1n/awesome-ai-agent-skills/contract-review.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 | $0.00037 | $0.01784 |
| Opus 5 | $0.00018 | $0.00892 |
| Sonnet 5 | $0.00007 | $0.00357 |
| Haiku 4.5 | $0.00004 | $0.00178 |
Grade A, and why
contract-review 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 9d 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 — 95 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Contract Review
Analyze legal contracts to identify parties, obligations, risk areas, and problematic clauses. This skill systematically examines contract language for liability exposure, indemnification traps, unfavorable termination terms, IP assignment overreach, and non-compete restrictions. The output is a structured risk report with severity ratings and actionable recommendations.
Workflow
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Receive and Parse Contract — Ingest the full contract text or relevant excerpts. Identify the contract type (SaaS agreement, employment, freelancer, NDA, MSA, etc.) and establish the reviewing party's perspective (which side of the agreement you represent). Extract metadata such as effective date, governing law, and term length.
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Identify Parties and Core Terms — Map all named parties, their roles, and the fundamental exchange of value. Extract key commercial terms including payment structure, deliverables, service levels, and performance metrics. Note any definitions section that modifies standard legal meanings.
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Flag High-Risk Clauses — Perform clause-by-clause analysis targeting liability caps (or lack thereof), indemnification scope and triggers, termination rights and cure periods, IP assignment breadth, non-compete and non-solicitation restrictions, confidentiality obligations, data handling requirements, and force majeure provisions. Assign each flagged clause a severity rating: Critical, High, Medium, or Low.
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Summarize Obligations — Produce a consolidated view of what each party must do, by when, and the consequences of non-performance. Highlight asymmetric obligations where one party bears disproportionate risk or burden.
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Generate Risk Report — Compile findings into a structured report with an executive summary, clause-by-clause risk table, overall risk score, and prioritized list of recommended modifications or negotiation points.
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Suggest Modifications — For each Critical and High severity finding, draft alternative contract language that better balances risk. Provide brief rationale for why the modification is important and what risk it mitigates.
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.
- 9d ago First seen · 95 lines · 37 tokens per session scan A d061403957bd
contract-review is a skill published in the GitHub repository seb1n/awesome-ai-agent-skills (179 stars, last pushed 1mo ago), licensed MIT. It adds 37 tokens to every session and 1,784 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 2026-09-03.
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