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BD space-signpost

Signpost (not a knowledge pack) for the ECSS European space standards: the E-ST-10 system engineering family, the discipline standards a reader commonly mis-cites (radiation is E-ST-10-12, not a RAM standard; software is E-ST-40, not E-ST-70), the M-branch project management standards, the Q-branch product assurance standards, and the sustainability and system documents, with designation, edition, owner, status, and catalogue URL only. Contains no source content. Free process paths are existing NASA packs in this catalogue, named by slug, and are not ECSS clause substitutes. Several needs have no in-repo pack.

jgsystemsconsulting/jgs-se-knowledge-packs Agent Skills author: jgsystemsconsulting 2 files body ≈ 4 210 tokens Open the sourcegithub.com↗ analyzed 2 h ago

Signpost (not a knowledge pack) for the ECSS European space standards: the E-ST-10 system engineering family, the discipline standards a reader commonly…

As a process D 49/100 · Unfinished process — weak spots: result and completion, when it triggers, failures and branches

ReferenceOperations and projectstype 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
D
49/100
Unfinished process
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

    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 49/100

    • 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. 1 mutating operations with no state check
    • 60Tools and files. Uses tools (web) that frontmatter does not declare
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 70Execution cost. Instruction body is 4210 tokens
    • 100Steps. 11 steps
    • 100Consistency. Name and required fields are in place

    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 617: enough signal without eating the budget
    • +4Structure: 10 headings
    • +3Step-by-step instructions: 11 items

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