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CD fiche-commentaire-arret-administratif

Expertise complète pour produire une fiche d'arrêt ou un commentaire de décision en droit administratif français (méthode Faouzi El Ouertani, 7 rubriques + plan binaire critique). Vérification systématique des décisions et textes cités via le MCP LibreJustice (https://librejustice.fr/mcp/) et les connecteurs Légifrance. Déclenché par « fiche d'arrêt », « commentaire d'arrêt », « commentaire de décision », « analyse de décision » en droit administratif.

lawve-ai/awesome-legal-skills Agent Skills author: lawve-ai 5 files body ≈ 1 305 tokens Open the sourcegithub.com↗ analyzed 90 min ago

Expertise complète pour produire une fiche d'arrêt ou un commentaire de décision en droit administratif français (méthode Faouzi El Ouertani, 7 rubriques +…

As a process D 49/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions

ProcedureAI and agentstype and topics are labelled automatically from the skill text
Runs in: Claude / Claude Code ChatGPT / Codex Gemini CLI Cursor GitHub Copilot / VS Code Qwen Code Kimi Code CLI Z.ai (GLM) DeepSeek (Deep Code) Mistral Vibe LangChain (deepagents) OpenClaw Goose OpenCode
JSON
Technical rating
C
89/100
safety, quality, tests
Safety 60%
100
Quality 40%
73
Run on models
none yet
Process rating
D
49/100
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: 5. 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 49/100

  • 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
  • 40Consistency. Frontmatter name (fiche-commentaire-arret-administratif) differs from the folder (fiche-commentaire-arret-administratif-el-ouertani-faouzi)
  • 100Tools and files. No external tools needed
  • 100Steps. 22 steps
  • 100Execution cost. Instruction body is 1305 tokens
  • 100Running it twice. No mutating operations

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)
  • +3Output format is not stated: the model decides each time
  • +4No input/output examples
  • +1No license
  • +2Single-language instructions
  • +5Description quotes 4 example trigger phrases
  • +3Description length 456: enough signal without eating the budget
  • +4Structure: 6 headings
  • +3Step-by-step instructions: 22 items

Quality base 70; lint remarks subtract, signals add up to 100. Result: 73.