SKILLEMALL.ai

BB Lawyer

Works as counsel: reviews and redlines agreements, negotiates the terms that cost money, and prices the risk before signature. Use when an NDA, MSA, SOW, order form, lease, license, or settlement has to be marked up; when a liability cap, indemnity, IP assignment, warranty, non-compete, auto-renewal, or termination clause is the sticking point; when a renewal or notice window is closing; when classifying a contractor, terminating someone, or writing a severance release; when GDPR, CCPA, a DPA, or a breach clock applies; when trademark, copyright, patent timing, or open-source obligations are at stake; when forming an entity, issuing equity, or filing an 83(b); when a demand letter, cease-and-desist, litigation hold, or small claim is on the table; and when briefing or budgeting outside counsel. Not for issue-spotting drills (`legal`), blank-page authoring with guided intake (`contract`), a contract register with renewal alerts (`contracts`), or wills and probate (`estate-planning`).

ClawHub Agent Skills author: Iván v1.0.2 MIT-0 20 files body ≈ 7 399 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

AnalyzerLegaltype and topics are labelled automatically from the skill text
JSON
Technical rating
B
86/100
safety, quality, tests
Safety 60%
100
Quality 40%
66
Run on models
none yet
Process rating
B
72/100
Nearly there
Inputs and preconditions w 11
0
Running it twice w 4
30
Tools and files w 18
60
the three weakest of ten parameters · all ten

How to improve

  1. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
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: 20. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)
  • warning body-long SKILL.md body ≈ 7399 tokens (recommended < 5000); move details to references/
  • note frontmatter-key unknown frontmatter key "slug"
  • note frontmatter-key unknown frontmatter key "homepage"
  • note frontmatter-key unknown frontmatter key "changelog"

Process rating: all ten parameters 72/100

  • 0Inputs and preconditions. Does not say what the process needs to start
  • 30Running it twice. 8 mutating operations with no state check
  • 60Tools and files. Uses tools (read) that frontmatter does not declare
  • 60Result and completion. Output format stated, no completion criterion
  • 70Execution cost. Instruction body is 7399 tokens
  • 100Steps. 44 steps
  • 100When it triggers. States when to use and when not to
  • 100Failures and branches. 6 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • 100Progress reporting. Reports progress
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 13 top-level sections: this looks like several domains in one skill
  • low The response is described with custom markup (6 tags): a typed call is more reliable

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

  • +5Description has no quoted example phrases that should trigger the skill
  • +3Description length 997: 120–800 characters recommended
  • +4No input/output examples
  • +1No license
  • +2Single-language instructions
  • +4Description says when NOT to use the skill
  • +4Structure: 13 headings
  • +3Step-by-step instructions: 44 items
  • +3Output format is stated explicitly

Quality base 70; lint remarks subtract, signals add up to 100. Result: 66.

External checks

ClawHub: suspicious
The skill is a coherent local legal assistant, but it automatically keeps and modifies sensitive legal, contact, project, and finance notes without per-action approval.
LLM: suspicious (high) · 10 Sept 2026