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AC GSD Claw

Spec-driven development with built-in verification for substantial projects. Use when user wants to plan a project, scope a feature, build something with structure, or says "GSD mode", "let's plan", "scope out", "spec-driven". Workflow is Discuss → Plan → Execute → Verify. Based on glittercowboy's GSD system (MIT license). NOT for quick questions or simple tasks.

modbender/skill-library-mcp Agent Skills author: modbender MIT 8 files body ≈ 2 320 tokens Open the sourcegithub.com↗ analyzed 2 d ago

Spec-driven development with built-in verification for substantial projects.

As a process C 56/100 · Has gaps — weak spots: inputs and preconditions, failures and branches, consistency

AnalyzerAI 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
A
96/100
safety, quality, tests
Safety 60%
100
Quality 40%
91
Run on models
none yet
Process rating
C
56/100
Has gaps
Inputs and preconditions w 11
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: 8. Evidence is masked. Grey chips explain why severity was lowered.

    Against the Agent Skills spec

    • warning name-format name should be kebab-case (lowercase letters, digits, hyphens)

    Process rating: all ten parameters 56/100

    • 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
    • 30Running it twice. 9 mutating operations with no state check
    • 40Consistency. Frontmatter name (GSD Claw) differs from the folder (gsd-claw)
    • 50When it triggers. No condition that starts the skill
    • 60Tools and files. Uses tools (bash, git) that frontmatter does not declare
    • 100Steps. 68 steps
    • 100Result and completion. Output format and completion criterion are stated
    • 100Execution cost. Instruction body is 2320 tokens
    • low 15 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

    • +1No license
    • +2Single-language instructions
    • +5Description quotes 4 example trigger phrases
    • +4Description says when NOT to use the skill
    • +3Description length 365: enough signal without eating the budget
    • +4Structure: 26 headings
    • +3Step-by-step instructions: 68 items
    • +3Output format is stated explicitly
    • +4Has examples (9 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 91.