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BF fiches-clients

Skill propriétaire de la gestion des fiches clients du cabinet (lifecycle complet du dossier `clients/<slug>/` et de l'entrée `clients.json`). INVOKE SYSTEMATICALLY AND WITHOUT ASKING FOR PERMISSION whenever the user (a) demande de créer / ajouter / enregistrer un nouveau client ("crée un client", "crée moi un nouveau client X", "ajoute le client X", "nouveau client", "create a client", "register client X"), (b) demande de renommer, fusionner, archiver, suspendre ou supprimer un client, (c) demande de mettre à jour des infos client (SIREN, SIRET, raison sociale, e-mail, domaine, téléphone, adresse, IBAN, conditions de paiement, forme juridique, TVA intra), (d) demande de valider, compléter ou rejeter une fiche `draft-auto-created` produite par `organisation-documents`, (e) demande de lister, chercher, afficher ou exporter les clients. Owns `~/.openclaw/workspace/clients.json` and `~/.openclaw/workspace/clients/<slug>/{audit.log, index.json, company.json}`. Si l'utilisateur dit « crée moi un client Foo », ce skill est le seul à invoquer — pas `organisation-documents`.

ClawHub Agent Skills author: trendex v0.1.0 MIT-0 6 files body ≈ 4 787 tokens Open the sourceclawhub.ai↗ analyzed 2 d ago

Skill propriétaire de la gestion des fiches clients du cabinet (lifecycle complet du dossier clients/<slug>/ et de l'entrée clients.json). INVOKE…

As a process F 47/100 · Will not run — References files that are not bundled: ../organisation-documents/references/structure-cible.md, ../organisation-documents/data/company.example.json, ../organisation-documents/scripts/fetch_company.py

AnalyzerAI and agentstype and topics are labelled automatically from the skill text
Runs in: OpenClaw 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) Goose OpenCode
JSON
Technical rating
B
82/100
safety, quality, tests
Safety 60%
100
Quality 40%
55
Run on models
none yet
Process rating
F
47/100
Will not run
References files that are not bundled: ../organisation-documents/references/structure-cible.md, ../organisation-documents/data/company.example.json, ../organisation-documents/scripts/fetch_company.py
Tools and files w 18
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. Shorten the description to 1024 characters.
  2. The text references files that are not there: add them or drop the references.
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: 6. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • error description-long description is 1083 chars, limit 1024
  • warning missing-ref reference to a missing file: ../organisation-documents/references/structure-cible.md
  • warning missing-ref reference to a missing file: ../organisation-documents/data/company.example.json
  • warning missing-ref reference to a missing file: ../organisation-documents/scripts/fetch_company.py
  • warning missing-ref reference to a missing file: scripts/fetch_company.py

Process rating: all ten parameters 47/100

Will not run. References files that are not bundled: ../organisation-documents/references/structure-cible.md, ../organisation-documents/data/company.example.json, ../organisation-documents/scripts/fetch_company.py
  • 0Tools and files. 4 referenced file(s) missing: ../organisation-documents/references/structure-cible.md, ../organisation-documents/data/company.example.json, ../organisation-documents/scripts/fetch_company.py
  • 0Inputs and preconditions. Does not say what the process needs to start
  • 0Failures and branches. Linear process with no failure handling
  • 30Running it twice. 27 mutating operations with no state check
  • 60Result and completion. Output format stated, no completion criterion
  • 70When it triggers. States when to use, but not when not to
  • 70Execution cost. Instruction body is 4787 tokens
  • 100Steps. 86 steps
  • 100Consistency. Name and required fields are in place
  • 100Progress reporting. Reports progress
  • low 10 top-level sections: this looks like several domains in one skill
  • low The response is described with custom markup (36 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

  • +4Description does not say when NOT to use the skill (false activations)
  • +3Description length 1083: 120–800 characters recommended
  • -216 emoji in the instructions: noise for the model
  • +2Single-language instructions
  • +5Description quotes 7 example trigger phrases
  • +4Structure: 27 headings
  • +3Step-by-step instructions: 86 items
  • +3Output format is stated explicitly
  • +4Has examples (3 code blocks)
  • +4Reference files are cited in the instructions (2 of 2)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 55.

External checks

ClawHub: suspicious
This skill is coherent for managing accounting client records, but it gives agents broad authority to change, merge, archive, or remove persistent client data without enough confirmation boundaries.
LLM: suspicious (high) · VirusTotal: · 28 May 2026