SKILLEMALL.ai

CD tabellion

Transforme un modèle juridique (.docx ou .odt : contrat, conclusions, assignation, courrier type, procès-verbal…) en formulaire HTML autonome, exécuté hors ligne, qui produit sans IA le document complété, fidèle au modèle, dans son format d'origine : parties optionnelles et alternatives, listes répétées, accords, montants et dates en lettres, calculs, numérotation et renvois. Déclencher dès que l'utilisateur veut « transformer ce modèle en formulaire », « automatiser un modèle », un « modèle à remplir » ou un « générateur d'actes », réutiliser régulièrement un contrat ou une trame, ou demande « fais-moi un modèle de … à remplir » ; aussi pour faire évoluer un formulaire tabellion existant. Pas pour compléter une seule fois un document. Compétence créée par Christophe Quézel-Ambrunaz, Université Savoie Mont Blanc (V.1.1).

lawve-ai/awesome-legal-skills Agent Skills author: lawve-ai 24 files · 13 scripts body ≈ 2 965 tokens Open the sourcegithub.com↗ analyzed 76 min ago

Transforme un modèle juridique (.docx ou .odt : contrat, conclusions, assignation, courrier type, procès-verbal…) en formulaire HTML autonome, exécuté hors…

As a process D 39/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

GeneratorWordSoftware developmenttype and topics are labelled automatically from the skill text
JSON
Technical rating
C
88/100
safety, quality, tests
Safety 60%
100
Quality 40%
71
Run on models
none yet
Process rating
D
39/100
Unfinished process
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

How to improve

  1. Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
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: 24. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning description-no-when description does not say WHEN to use the skill (no "use when")

Process rating: all ten parameters 39/100

  • 0Result and completion. Does not say what the result is
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 0Progress reporting. Says nothing while it works
  • 20When it triggers. No condition that starts the skill
  • 30Running it twice. 4 mutating operations with no state check
  • 40Consistency. Frontmatter name (tabellion) differs from the folder (tabellion-christophe-quezel-ambrunaz)
  • 60Tools and files. Uses tools (python, node) that frontmatter does not declare
  • 100Steps. 45 steps
  • 100Execution cost. Instruction body is 2965 tokens

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 832: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +4No input/output examples
  • -38 of 9 scripts are never mentioned in SKILL.md
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 5 example trigger phrases
  • +4Structure: 15 headings
  • +3Step-by-step instructions: 45 items
  • +4Reference files are cited in the instructions (4 of 5)

Quality base 70; lint remarks subtract, signals add up to 100. Result: 71.