SKILLEMALL.ai

CC easa-rules

Reconstructed reference notes on EASA acceptable means of compliance for airborne software and airborne electronic hardware, built from AMC 20-115D (ED Decision 2017/020/R, AMC-20 Amendment 14, consolidated in Amendment 23) and AMC 20-152A (ED Decision 2020/010/R, AMC-20 Amendment 19, consolidated in Amendment 23), read from the Easy Access Rules AMC-20 compilation (Amendment 23, June 2023) and pinned 2026-09-26. Use for EASA software means of compliance, EASA AEH means of compliance, AltMoC, ETSO software, and the joint software and hardware certification workflow. SCOPE LIMITS: the two AMC sections only; no FAA content (use faa-8110-49); no RTCA DO-178C or DO-254, EUROCAE ED-12C or ED-80, or supplement clause text (use avionics-signpost to name them); no Part-21 body; no bulk AMC-20; AMC 20-193 and AMC 20-189 are name-only; reflects Amendment 23 as consolidated in the June 2023 EAR, not a later AMC-20 amendment; synthesized reference notes, not legal advice and not the official AMC. LICENCE: per-document (EASA site reproduction-with-acknowledgement grant, qualified by ED Decision all-rights-reserved footers); pack-level commercial use is not granted.

jgsystemsconsulting/jgs-se-knowledge-packs Agent Skills author: jgsystemsconsulting 12 files body ≈ 2 704 tokens Open the sourcegithub.com↗ analyzed 29 h ago

Reconstructed reference notes on EASA acceptable means of compliance for airborne software and airborne electronic hardware, built from AMC 20-115D (ED…

As a process C 58/100 · Has gaps — weak spots: result and completion, when it triggers, failures and branches

ReferenceSecuritytype and topics are labelled automatically from the skill text
JSON
Technical rating
C
81/100
safety, quality, tests
Safety 60%
100
Quality 40%
53
Run on models
none yet
Process rating
C
58/100
Has gaps
Result and completion w 14
0
Failures and branches w 10
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

How to improve

  1. Shorten the description to 1024 characters.
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: 12. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • error description-long description is 1170 chars, limit 1024

Process rating: all ten parameters 58/100

  • 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. 2 mutating operations with no state check
  • 70Inputs and preconditions. Inputs and preconditions are listed
  • 100Tools and files. No external tools needed
  • 100Steps. 32 steps
  • 100Consistency. Name and required fields are in place
  • 100Execution cost. Instruction body is 2704 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

  • +5Description has no quoted example phrases that should trigger the skill
  • +4Description does not say when NOT to use the skill (false activations)
  • +3Description length 1170: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +4No input/output examples
  • +2Single-language instructions
  • +4Structure: 13 headings
  • +3Step-by-step instructions: 32 items
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 53.