SKILLEMALL.ai

AB legal-doc-summarizer

Read contracts, NDAs, terms of service, employment agreements, leases, and SaaS MSAs and produce a structured summary that flags risk, surfaces hidden obligations, and gives plain-language explanations. Identifies indemnification, limitation of liability, IP assignment, non-compete, auto-renewal, choice-of-law, arbitration, termination, and payment-terms clauses. Compares clauses to market norms and flags deviations. Outputs a redline checklist of what to push back on. NOT a substitute for licensed counsel — provides general information only. Use when asked to summarize a contract, review an NDA, explain an employment agreement, audit a SaaS MSA, check a lease, prepare for negotiation, redline a contract, or understand what a clause means. Triggers on "summarize this contract", "review this NDA", "explain this clause", "redline", "review my offer letter", "lease review", "MSA review", "DPA review", "ToS summary", "what does this mean".

ClawHub Agent Skills author: charlie-morrison v1.0.0 MIT-0 2 files body ≈ 3 497 tokens Open the sourceclawhub.ai analyzed 4 d ago

As a process B 72/100 · Nearly there — weak spots: inputs and preconditions, running it twice, progress reporting

AnalyzerWriting and documentsLegaltype and topics are labelled automatically from the skill text
JSON
Technical rating
A
96/100
safety, quality, tests
Safety 60%
100
Quality 40%
89
Run on models
none yet
Process rating
B
72/100
Nearly there
Inputs and preconditions w 11
0
Progress reporting w 2
0
Running it twice w 4
30
the three weakest of ten parameters · all ten

How to improve

    For the model run — optional
    • Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
    • A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.

    Guard findings · 0

    ✓ No critical or high findings

    Files scanned: 2. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 72/100

    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Progress reporting. Says nothing while it works
    • 30Running it twice. 6 mutating operations with no state check
    • 60Result and completion. Output format stated, no completion criterion
    • 65Failures and branches. 3 branches
    • 70When it triggers. States when to use, but not when not to
    • 100Tools and files. No external tools needed
    • 100Steps. 42 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 3497 tokens
    • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing

    Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.

    Quality signals

    • +4Description does not say when NOT to use the skill (false activations)
    • +3Description length 949: 120–800 characters recommended
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 10 example trigger phrases
    • +4Structure: 21 headings
    • +3Step-by-step instructions: 42 items
    • +3Output format is stated explicitly
    • +4Has examples (7 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 89.

    External checks

    ClawHub: clean
    This is a text-only legal document summarizer with no code execution or credential use, though its trigger phrases and metadata are broader than ideal.
    LLM: benign (medium) · VirusTotal: · 29 May 2026