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BC avionics-signpost

Signpost (not a knowledge pack) for the avionics development assurance standards landscape: RTCA DO-178C / EUROCAE ED-12C and its supplements (DO-330/ED-215, DO-331/ED-218, DO-332/ED-217, DO-333/ED-216); RTCA DO-254 / EUROCAE ED-80; SAE ARP4754B and ARP4761A; and the free regulator documents that recognise them (FAA AC 20-115D, AC 20-152A, Order 8110.49A; EASA AMC 20-115D and AMC 20-152A). Contains no source content: each row carries only the designation, title, edition, owner, redistributability status, and the owner's URL. Use when you need to identify, cite, or locate an avionics standard; paywalled rows point to the owner, free rows point to the regulator text, and the FAA rows also name the in-repo faa-8110-49 pack.

jgsystemsconsulting/jgs-se-knowledge-packs Agent Skills author: jgsystemsconsulting 2 files body ≈ 1 625 tokens Open the sourcegithub.com↗ analyzed 2 h ago

Signpost (not a knowledge pack) for the avionics development assurance standards landscape: RTCA DO-178C / EUROCAE ED-12C and its supplements (DO-330/ED-215…

As a process C 64/100 · Has gaps — weak spots: result and completion, when it triggers, failures and branches

ReferenceSecuritytype 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
B
92/100
safety, quality, tests
Safety 60%
100
Quality 40%
79
Run on models
none yet
Process rating
C
64/100
Has gaps
Failures and branches w 10
0
Progress reporting w 2
0
When it triggers w 12
20
the three weakest of ten parameters · all ten

How to improve

    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: 2. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • note frontmatter-key unknown frontmatter key "kind"

    Process rating: all ten parameters 64/100

    • 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. 1 mutating operations with no state check
    • 40Result and completion. Does not say what the result is
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Tools and files. No external tools needed
    • 100Steps. 6 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 1625 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)
    • +3Output format is not stated: the model decides each time
    • +4No input/output examples
    • +1No license
    • +2Single-language instructions
    • +3Description length 730: enough signal without eating the budget
    • +4Structure: 8 headings
    • +3Step-by-step instructions: 6 items

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 79.