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.
npx skills add hamzabellouch/agent-skills --skill canvas-moodle-lms-integrationsgit clone --depth 1 https://github.com/hamzabellouch/agent-skillsWrote 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.
[](https://agentmods.dev/skills/hamzabellouch/agent-skills/canvas-moodle-lms-integrations)<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.
<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>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.
| Model | Per session | Once 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 |
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( 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
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.
- 17d ago First seen · 118 lines · 87 tokens per session scan A 03341a4ad19c
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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