SKILLEMALL.ai

BC analyse-piece-comptable

Analyse UNE pièce comptable (facture, relevé bancaire ou note de frais) et en rend compte au comptable — sans la classer ni la déplacer. À utiliser dès que le comptable veut comprendre une pièce isolée : « regarde cette facture », « qu'est-ce que c'est ce document ? », « lis-moi ce relevé », « c'est quoi cette note de frais ? », « il y a un souci sur cette pièce ? », « combien de TVA sur cette facture ? », ou simplement quand une pièce jointe arrive et que le comptable veut un avis dessus avant tout classement. Extrait le type de pièce, les montants, la TVA, les dates, l'émetteur/destinataire (ou société/salarié pour une note de frais), et signale les incohérences (champ manquant, TVA fausse, total qui ne tombe pas juste, IBAN invalide, date aberrante). Lecture seule : ne range rien (le classement, c'est classement-document) et ne rapproche rien (c'est rapprochement-paiements).

ClawHub Agent Skills author: trendex v1.0.0 MIT-0 4 files body ≈ 1 418 tokens Open the sourceclawhub.ai analyzed 12 h ago

Analyse UNE pièce comptable (facture, relevé bancaire ou note de frais) et en rend compte au comptable — sans la classer ni la déplacer.

As a process C 53/100 · Has gaps — weak spots: result and completion, when it triggers, inputs and preconditions

AnalyzerSoftware developmentFinancetype and topics are labelled automatically from the skill text
JSON
Technical rating
B
85/100
safety, quality, tests
Safety 60%
100
Quality 40%
62
Run on models
none yet
Process rating
C
53/100
Has gaps
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: 4. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning frontmatter-yaml SKILL.md: the frontmatter is not valid YAML (YAML parse error: Nested mappings are not allowed in compact mappings at line 2, column 14: description: Analyse UNE pièce comptable (facture, relevé bancaire ou note de f… ^ ); fields were read line by line. The usual cause is a colon inside an unquoted value
  • warning description-no-when description does not say WHEN to use the skill (no "use when")

Process rating: all ten parameters 53/100

  • 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
  • 100Tools and files. No external tools needed
  • 100Steps. 9 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 1418 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)
  • +3Description length 890: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • -31 of 2 scripts are never mentioned in SKILL.md
  • +2Single-language instructions
  • +5Description quotes 6 example trigger phrases
  • +4Structure: 8 headings
  • +3Step-by-step instructions: 9 items
  • +4Has examples (3 code blocks)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 62.

External checks

ClawHub: clean
This skill is a read-only accounting-document analyzer that processes one user-supplied PDF locally and shows no evidence of hidden network use, persistence, or file mutation in its normal workflow.
LLM: benign (high) · VirusTotal: · 4 Jun 2026