SKILLEMALL.ai
GitHub ↗ RU Sign in

AC canvas-parent-mcp

This skill should be used when the user asks about Canvas LMS data — their own student account or any observed student. Triggers on phrases like "check Canvas", "what's my grade", "Canvas inbox", "what's due", "missing assignments", "Canvas LMS", "Instructure", "course announcements", "syllabus", or any request about courses, assignments, grades, conversations, announcements, planner items, or files in Canvas.

ClawHub Agent Skills author: chrischall v1.1.8 MIT-0 2 files body ≈ 944 tokens Open the sourceclawhub.ai↗ analyzed 31 h ago

This skill should be used when the user asks about Canvas LMS data — their own student account or any observed student.

As a process C 57/100 · Has gaps — weak spots: result and completion, inputs and preconditions, progress reporting

ProcedureGitHubLearningAI 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%
89
Run on models
none yet
Process rating
C
57/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
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

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 57/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Progress reporting. Says nothing while it works
    • 50Failures and branches. 0 branches, has a failure section
    • 60Tools and files. Uses tools (web, node) that frontmatter does not declare
    • 70When it triggers. States when to use, but not when not to
    • 100Steps. 25 steps
    • 100Consistency. Name and required fields are in place
    • 100Execution cost. Instruction body is 944 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

    • +4Description does not say when NOT to use the skill (false activations)
    • +3Output format is not stated: the model decides each time
    • +1No license
    • +2Single-language instructions
    • +5Description quotes 9 example trigger phrases
    • +3Description length 413: enough signal without eating the budget
    • +4Structure: 15 headings
    • +3Step-by-step instructions: 25 items
    • +4Has examples (2 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 89.

    External checks

    ClawHub: suspicious
    This Canvas helper is purpose-aligned, but it deserves review because it recommends sensitive authentication methods that can expose Canvas sessions, credentials, and student records.
    LLM: suspicious (high) · 8 Jul 2026