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BD jun-invest-option-master-installer

DEPRECATED stub. Do not use.

modbender/skill-library-mcp Agent Skills author: modbender MIT 1 file body ≈ 21 tokens Open the sourcegithub.com↗ analyzed 16 h ago

DEPRECATED stub. Do not use.

As a process D 35/100 · Unfinished process — weak spots: steps, result and completion, when it triggers

ReferenceAI and agentstype and topics are labelled automatically from the skill text
Runs in: OpenClaw 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) Goose OpenCode
JSON
Technical rating
B
80/100
safety, quality, tests
Safety 60%
100
Quality 40%
51
Run on models
none yet
Process rating
D
35/100
Unfinished process
Steps w 15
0
Result and completion w 14
0
Inputs and preconditions w 11
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: 1. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • warning description-short description under 40 chars: too little signal for triggering
    • note edit-residue the text marks something as outdated (lines 2, 4): check that old rules are not kept next to new ones — the full check reads the text for contradictions

    Process rating: all ten parameters 35/100

    • 0Steps. Prose only: no discrete steps
    • 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
    • 30When it triggers. No condition that starts the skill
    • 40Consistency. Frontmatter name (jun-invest-option-master-installer) differs from the folder (clawhub-skill)
    • 100Tools and files. No external tools needed
    • 100Execution cost. Instruction body is 21 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

    • +5Description has no quoted example phrases that should trigger the skill
    • +3Description length 28: 120–800 characters recommended
    • +4Structure: 1 headings, hard to scan
    • +3No numbered steps or checklist
    • +3Output format is not stated: the model decides each time
    • +4No input/output examples
    • -15SKILL.md body under 300 characters: nearly empty
    • +1No license
    • +2Single-language instructions
    • +4Description says when NOT to use the skill

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 51.