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BB checking-for-understanding-protocol-designer

Design a checking-for-understanding protocol with specific techniques for each lesson stage. Use when planning systematic comprehension checks during explicit or direct instruction.

GarethManning/education-agent-skills Claude Code author: GarethManning 1 file body ≈ 3 997 tokens Open the sourcegithub.com↗ analyzed 9 h ago

Design a checking-for-understanding protocol with specific techniques for each lesson stage.

As a process B 79/100 · Nearly there — weak spots: progress reporting

ProcedureLearningtype 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
94/100
safety, quality, tests
Safety 60%
100
Quality 40%
84
Run on models
none yet
Process rating
B
79/100
Nearly there
Progress reporting w 2
0
When it triggers w 12
50
Result and completion w 14
60
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

    • note frontmatter-key unknown frontmatter key "effort"
    • note frontmatter-key unknown frontmatter key "skill_id"
    • note frontmatter-key unknown frontmatter key "skill_name"
    • note frontmatter-key unknown frontmatter key "domain"
    • note frontmatter-key unknown frontmatter key "evidence_strength"
    • note frontmatter-key unknown frontmatter key "evidence_sources"
    • note frontmatter-key unknown frontmatter key "input_schema"
    • note frontmatter-key unknown frontmatter key "output_schema"
    • note frontmatter-key unknown frontmatter key "chains_well_with"
    • note frontmatter-key unknown frontmatter key "teacher_time"

    Process rating: all ten parameters 79/100

    • 0Progress reporting. Says nothing while it works
    • 50When it triggers. No condition that starts the skill
    • 60Result and completion. Output format stated, no completion criterion
    • 60Failures and branches. 2 branches
    • 70Inputs and preconditions. Inputs and preconditions are listed
    • 100Tools and files. No external tools needed
    • 100Steps. 21 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 3997 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
    • +4Description does not say when NOT to use the skill (false activations)
    • +1No license
    • +2Single-language instructions
    • +3Description length 181: enough signal without eating the budget
    • +4Structure: 13 headings
    • +3Step-by-step instructions: 21 items
    • +3Output format is stated explicitly
    • +4Has examples (2 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 84.