canvas-moodle-lms-integrations

canvas-moodle-lms-integrations is a skill for Claude Code, Codex from hamzabellouch/agent-skills. It costs 87 tokens per session (936 once invoked), scanned A, original, MIT.

A guide for connecting educational software to Canvas, Moodle, or Blackboard, which are systems schools use to manage courses and student work. It covers standard sign-in, class rosters, assignments, and grades.

In plain words
What is it for?
Use it to build course-tool integrations, sign students into an application, sync class rosters, and send grades back to an LMS.
Why use it?
It helps different learning systems exchange course and student information in a consistent way. This avoids building a separate custom connection for every learning platform.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it to build course-tool integrations, sign students into an application, sync class rosters, and send grades back to an LMS.

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Install with agentmods
npx agentmods add skills/hamzabellouch/agent-skills/canvas-moodle-lms-integrations
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add hamzabellouch/agent-skills --skill canvas-moodle-lms-integrations
Clone the repo
git clone --depth 1 https://github.com/hamzabellouch/agent-skills

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for canvas-moodle-lms-integrations

README.md
[![agentmods](https://agentmods.dev/badge/skills/hamzabellouch/agent-skills/canvas-moodle-lms-integrations/github.svg)](https://agentmods.dev/skills/hamzabellouch/agent-skills/canvas-moodle-lms-integrations)
Your own site
<a href="https://agentmods.dev/skills/hamzabellouch/agent-skills/canvas-moodle-lms-integrations"><img src="https://agentmods.dev/badge/skills/hamzabellouch/agent-skills/canvas-moodle-lms-integrations/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for canvas-moodle-lms-integrations

Your own site · 80×15
<a href="https://agentmods.dev/skills/hamzabellouch/agent-skills/canvas-moodle-lms-integrations"><img src="https://agentmods.dev/badge/skills/hamzabellouch/agent-skills/canvas-moodle-lms-integrations.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 87 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 936 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00087 $0.00936
Opus 5.5 $0.00035 $0.00374
Sonnet 5.5 $0.00017 $0.00187
Haiku 4.5 $0.00009 $0.00094

Measured 17d ago against content hash 03341a4ad19c, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

canvas-moodle-lms-integrations scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 17d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

await axios.put(
Business/EdTech_and_Learning_Systems/canvas-moodle-lms-integrations/SKILL.md · 118 lines

How it starts

The opening of the file, as written. The whole thing — 118 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Canvas & Moodle LMS Integration Skill Guide

This skill governs standard implementation of LTI 1.3 Advantage protocols and REST API automation for enterprise learning platforms like Canvas and Moodle.


1. LTI 1.3 Advantage Security Architecture

LTI 1.3 replaces legacy shared-secret authentication with an OIDC Third-Party Initiated Login & OAuth 2.0 JWT Launch.

[ Canvas / Moodle LMS ]                              [ Tool Provider Backend ]
         |                                                       |
         |--(1) OIDC Login Initiation (iss, login_hint, lti_id)->|
         |                                                       |
         |<-(2) 302 Redirect to LMS /api/lti/authorize ----------|
         |                                                       |
         |--(3) POST id_token (Signed JWT with Roles & Claims) ->|
         |                                                       |
         |         [ Tool validates signature against LMS JWKS ] |
         |                                                       |
         |<-(4) Render Tool Inside LMS iFrame -------------------|

2. Production Code Implementations

A. LTI 1.3 Launch Token Verification (Python)

import jwt
from jwt import PyJWKClient


class LTILaunchVerifier:
    def __init__(self, platform_jwks_url: str, client_id: str, platform_issuer: str):
        self.jwks_client = PyJWKClient(platform_jwks_url)
        self.client_id = client_id
        self.platform_issuer = platform_issuer

    def verify_launch_token(self, id_token: str) -> dict:
        signing_key = self.jwks_client.get_signing_key_from_jwt(id_token)

        claims = jwt.decode(
            id_token,
            signing_key.key,
            algorithms=["RS256"],
            audience=self.client_id,
            issuer=self.platform_issuer,
            options={"require": ["iss", "aud", "exp", "sub", "https://purl.imsglobal.org/spec/lti/claim/message_type"]},
        )

        message_type = claims.get("https://purl.imsglobal.org/spec/lti/claim/message_type")
        if message_type != "LtiResourceLinkRequest":
            raise ValueError(f"Invalid LTI message type: {message_type}")

        return claims

Read the full file on GitHub · 118 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 17d ago First seen · 118 lines · 87 tokens per session scan A 03341a4ad19c

Subscribe to this mod's changes

canvas-moodle-lms-integrations is a skill published in the GitHub repository hamzabellouch/agent-skills (8 stars, last pushed 6d ago), licensed MIT. It adds 87 tokens to every session and 936 once invoked, about $0.0003 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-29.

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