SKILLEMALL.ai

DB arbitration-clause-design-and-review-hafez-virjee

(no description)

lawve-ai/awesome-legal-skills Agent Skills author: lawve-ai 7 files body ≈ 20 104 tokens Open the sourcegithub.com↗ analyzed 76 min ago

Use this skill to help users draft, review and stress-test arbitration clauses in commercial contracts.

As a process B 67/100 · Nearly there — weak spots: inputs and preconditions, execution cost, running it twice

AnalyzerData and analyticsSales and CRMResearchtype and topics are labelled automatically from the skill text
JSON
Technical rating
D
60/100
safety, quality, tests
Safety 60%
100
Quality 40%
0
Run on models
none yet
Process rating
B
67/100
Nearly there
Inputs and preconditions w 11
0
Progress reporting w 2
0
Execution cost w 6
10
the three weakest of ten parameters · all ten

How to improve

  1. Add a description to the frontmatter: without it the skill never triggers.
  2. 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: 7. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • error frontmatter SKILL.md: no YAML frontmatter block found
  • error name-missing SKILL.md: frontmatter has no `name`
  • error description-missing SKILL.md: no `description` — the skill can never trigger
  • warning body-long SKILL.md body ≈ 20104 tokens (recommended < 5000); move details to references/

Process rating: all ten parameters 67/100

  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Progress reporting. Says nothing while it works
  • 10Execution cost. Instruction body is 20104 tokens: crowds the task out of the window
  • 30Running it twice. 11 mutating operations with no state check
  • 60Tools and files. Uses tools (web) that frontmatter does not declare
  • 80When it triggers. States when to use and when not to
  • 85Steps. 441 steps, 3 vague phrases
  • 100Result and completion. Output format and completion criterion are stated
  • 100Failures and branches. 9 branches, has a failure section
  • 100Consistency. Name and required fields are in place
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 63 top-level sections: this looks like several domains in one skill

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
  • +4Description does not say when NOT to use the skill (false activations)
  • +3Description length 0: 120–800 characters recommended
  • +2Single-language instructions
  • +4Structure: 94 headings
  • +3Step-by-step instructions: 441 items
  • +3Output format is stated explicitly
  • +4Has examples (0 code blocks)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 0.