SKILLEMALL.ai

CF whistleblower-policy-malik-taiar

Guide for (a) auditing an existing whistleblower system or (b) drafting a compliant reporting policy from a provided template. Covers EU Directive 2019/1937, the amended Sapin II law (Waserman 2022), Decree 2022-1284, CNIL guidelines, public sector requirements, and duty of vigilance.

lawve-ai/awesome-legal-skills Agent Skills author: lawve-ai 9 files body ≈ 6 114 tokens Open the sourcegithub.com↗ analyzed 76 min ago

Guide for (a) auditing an existing whistleblower system or (b) drafting a compliant reporting policy from a provided template.

As a process F 31/100 · No process to follow — References files that are not bundled: assets/Decret_2022_1284.pdf, assets/Directive_2019_1937.pdf, assets/Loi_Sapin_II_consolidee.pdf

AnalyzerData and analyticsSecurityWriting and documentstype and topics are labelled automatically from the skill text
JSON
Technical rating
C
82/100
safety, quality, tests
Safety 60%
100
Quality 40%
55
Run on models
none yet
Process rating
F
31/100
No process to follow
References files that are not bundled: assets/Decret_2022_1284.pdf, assets/Directive_2019_1937.pdf, assets/Loi_Sapin_II_consolidee.pdf
Tools and files w 18
0
Result and completion w 14
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.
  2. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
  3. 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: 9. 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")
  • warning body-long SKILL.md body ≈ 6114 tokens (recommended < 5000); move details to references/
  • warning missing-ref reference to a missing file: assets/Decret_2022_1284.pdf
  • warning missing-ref reference to a missing file: assets/Directive_2019_1937.pdf
  • warning missing-ref reference to a missing file: assets/Loi_Sapin_II_consolidee.pdf
  • warning missing-ref reference to a missing file: assets/Loi_Waserman_2022.pdf
  • warning missing-ref reference to a missing file: assets/Referentiel_CNIL_alertes_professionnelles.pdf
  • warning missing-ref reference to a missing file: assets/Circulaire_26_juin_2024.pdf
  • warning missing-ref reference to a missing file: assets/DREETS_synthese_2025.pdf
  • warning missing-ref reference to a missing file: assets/L225-102-1.pdf
  • warning missing-ref reference to a missing file: assets/L225-102-2.pdf
  • warning missing-ref reference to a missing file: assets/Directive_CS3D_2024_1760.pdf

Process rating: all ten parameters 31/100

Will not run. References files that are not bundled: assets/Decret_2022_1284.pdf, assets/Directive_2019_1937.pdf, assets/Loi_Sapin_II_consolidee.pdf
  • 0Tools and files. 10 referenced file(s) missing: assets/Decret_2022_1284.pdf, assets/Directive_2019_1937.pdf, assets/Loi_Sapin_II_consolidee.pdf
  • 0Result and completion. Does not say what the result is
  • 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. 7 mutating operations with no state check
  • 40Consistency. Frontmatter name (whistleblower-policy-malik-taiar) differs from the folder (whistleblower-policy-advisor-malik-taiar)
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 70Execution cost. Instruction body is 6114 tokens
  • 85Steps. 101 steps, 2 vague phrases
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 16 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)
  • +3Output format is not stated: the model decides each time
  • +2Single-language instructions
  • +3Description length 285: enough signal without eating the budget
  • +4Structure: 42 headings
  • +3Step-by-step instructions: 101 items
  • +4Has examples (4 code blocks)
  • +4Reference files are cited in the instructions (5 of 5)
  • +1License stated

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