mcpbeat Sign in

Contract Review Agent Skill

Analyze contracts for risks, obligations, key clauses, and generate structured risk reports with severity ratings.

2k tokens
context cost
the whole folder, loaded on every use
1
files
instructions only
0
copies elsewhere
how many repositories repackaged it
143
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/seb1n/awesome-ai-agent-skills --skill contract-review

The instruction itself

8 sections, as written by the author

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

  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.

Usage

Provide the contract text and specify which party you represent. Optionally indicate areas of particular concern.

Example prompt:

Review this SaaS agreement from the customer's perspective. Flag any clauses that expose us to unlimited liability or allow the vendor to change terms unilaterally. Here is the contract: [paste contract text]

Examples

Example 1: SaaS Agreement Review

Input: A SaaS subscription agreement where the customer is subscribing to a project management tool. The customer is a 50-person company evaluating a 2-year enterprise commitment. Review from the customer's perspective.

Output:

Executive Summary: This agreement contains 2 Critical and 3 High severity issues that should be addressed before signing. The liability cap is absent for the vendor while the customer faces unlimited exposure, the IP assignment clause claims ownership of customer-created content, and termination requires 180-day notice with no cure period for the customer. Overall risk score: 7.2/10. We recommend negotiating all Critical items and at least the indemnification clause before execution.

Overall Risk Score: 7.2 / 10 (High — do not sign without modifications)

| Clause | Section | Risk | Severity | Recommendation |

|--------|---------|------|----------|----------------|

| Limitation of Liability | §8.2 | Vendor liability capped at fees paid in last 3 months; no cap on customer's liability | Critical | Add mutual liability cap at 12 months of fees |

| IP Assignment | §5.1 | "All materials created using the Service become Vendor's property" | Critical | Narrow to feedback/suggestions only; customer retains IP in their content |

| Auto-Renewal | §3.4 | Auto-renews for successive 2-year terms with 180-day cancellation notice | High | Reduce to 1-year renewal with 30-day notice |

| Indemnification | §9.1 | Customer indemnifies vendor for "any and all claims" including vendor negligence | High | Limit to claims arising from customer's breach or misuse |

| Data Handling | §6.3 | Vendor may use customer data for "service improvement and analytics" without anonymization requirement | High | Require anonymization/aggregation; add DPA reference |

Example 2: Freelancer Contract Review

Input: A freelance development contract from the hiring company's template. The freelancer is a mobile app developer being engaged for a 3-month iOS project. Review from the freelancer's perspective.

Output:

Executive Summary: 1 Critical and 2 High severity issues identified. The non-compete clause is overly broad and likely unenforceable in most jurisdictions, the IP assignment has a dangerous gap tied to payment, and the payment terms heavily favor the hiring company. Overall risk score: 6.8/10.

Overall Risk Score: 6.8 / 10 (Moderate-High — negotiate before signing)

Red Flags:

  • Non-Compete (§7, Critical): Prohibits freelancer from working in "any related field" for 24 months globally. This is almost certainly unenforceable in most jurisdictions and signals aggressive posturing. Suggested modification: Narrow to direct competitors, 6-month duration, reasonable geographic scope.
  • IP Assignment (§4, High): Assigns IP only upon "final payment" but doesn't define what constitutes final payment in a milestone-based project. Gap risk: disputed milestone could leave IP ownership ambiguous. Suggested modification: Add that IP transfers per-milestone upon each milestone payment.
  • Payment Terms (§3, High): Net-90 payment with no late payment penalties. Suggested modification: Net-30 with 1.5% monthly late fee.

Best Practices

  • Always establish which party you represent before beginning analysis — risk assessment is perspective-dependent and a favorable clause for one party is a risk for the other.
  • Flag the absence of standard protective clauses (liability caps, data processing addendums, SLAs) as risks, not just problematic existing language. Missing protections are often more dangerous than bad language.
  • Consider governing law jurisdiction when assessing enforceability — a non-compete valid in Texas may be void in California, and UK consumer law may override B2B contract terms.
  • Compare indemnification obligations for symmetry; one-sided indemnification is a common and often successful negotiation point even in take-it-or-leave-it vendor agreements.
  • Note any "entire agreement" or "amendment" clauses that could override verbal promises or side agreements. Unilateral amendment rights (where the vendor can change terms by posting to a website) are a critical red flag.
  • Review defined terms carefully — a broad definition of "Confidential Information" or "Work Product" can dramatically expand obligations far beyond what the operative clauses appear to require on a casual reading.

Edge Cases

  • Contracts referencing external documents — Terms may incorporate SOWs, SLAs, acceptable use policies, or privacy policies by reference. Flag these as requiring separate review and note that the referenced documents may change unilaterally if the contract doesn't freeze a specific version.
  • Multi-jurisdictional agreements — When parties are in different countries, flag potential conflicts between governing law, data residency requirements, and local employment/contractor laws. EU consumer protection regulations may render certain limitation of liability clauses unenforceable regardless of the chosen governing law.
  • Unsigned or draft contracts — Clearly note that analysis is based on draft language and that final terms may differ. Track version numbers if available and compare against any prior versions to identify changes.
  • Contracts with arbitration clauses — Flag mandatory arbitration with class action waivers, especially in consumer or employment contexts where enforceability varies by jurisdiction. Note the arbitration forum (AAA, JAMS) and whether the cost allocation is fair.
  • Force majeure and pandemic language — Post-2020 contracts may have expanded force majeure definitions or explicitly include pandemics and government shutdowns. Assess whether they're symmetric and whether they excuse payment obligations or just performance obligations.

Other skills for the same job

different authors, same section of the catalogue
XLSX
by anthropics
vendor ×15

Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When Claude needs to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv, etc) for: (1) Creating new spreadsheets with formulas and formatting, (2) Reading or analyzing data, (3) Modify existing spreadsheets while preserving formulas, (4) Data analysis and visualization in spreadsheets, or (5) Recalculating formulas

5k tokens scripts
XLSX
by w95
×7

Use this skill any time a spreadsheet file is the primary input or output. This means any task where the user wants to: open, read, edit, or fix an existing .xlsx, .xlsm, .csv, or .tsv file (e.g., adding columns, computing formulas, formatting, charting, cleaning messy data); create a new spreadsheet from scratch or from other data sources; or convert between tabular file formats. Trigger especially when the user references a spreadsheet file by name or path — even casually (like \"the xlsx in my downloads\") — and wants something done to it or produced from it. Also trigger for cleaning or restructuring messy tabular data files (malformed rows, misplaced headers, junk data) into proper spreadsheets. The deliverable must be a spreadsheet file. Do NOT trigger when the primary deliverable is a Word document, HTML report, standalone Python script, database pipeline, or Google Sheets API integration, even if tabular data is involved.

3k tokens
Raffle Winner Picker
by frostant
×5

Picks random winners from lists, spreadsheets, or Google Sheets for giveaways, raffles, and contests. Ensures fair, unbiased selection with transparency.

949 tokens
Fda Database
by christophacham
×4

Query openFDA API for drugs, devices, adverse events, recalls, regulatory submissions (510k, PMA), substance identification (UNII), for FDA regulatory data analysis and safety research.

32k tokens scripts
Matlab
by christophacham
×4

MATLAB and GNU Octave numerical computing for matrix operations, data analysis, visualization, and scientific computing. Use when writing MATLAB/Octave scripts for linear algebra, signal processing, image processing, differential equations, optimization, statistics, or creating scientific visualizations. Also use when the user needs help with MATLAB syntax, functions, or wants to convert between MATLAB and Python code. Scripts can be executed with MATLAB or the open-source GNU Octave interpreter.

25k tokens
Umap Learn
by ComeOnOliver
×4

UMAP dimensionality reduction. Fast nonlinear manifold learning for 2D/3D visualization, clustering preprocessing (HDBSCAN), supervised/parametric UMAP, for high-dimensional data.

14k tokens
D3 Viz
by chrisvoncsefalvay
×3

Creating interactive data visualisations using d3.js. This skill should be used when creating custom charts, graphs, network diagrams, geographic visualisations, or any complex SVG-based data visualisation that requires fine-grained control over visual elements, transitions, or interactions. Use this for bespoke visualisations beyond standard charting libraries, whether in React, Vue, Svelte, vanilla JavaScript, or any other environment.

20k tokens
Alphafold Database
by christophacham
×3

Access AlphaFold 200M+ AI-predicted protein structures. Retrieve structures by UniProt ID, download PDB/mmCIF files, analyze confidence metrics (pLDDT, PAE), for drug discovery and structural biology.

7k tokens

How to use it

Copy the folder

Take seb1n/contract-review from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.