ChatGPT Plugin

QLASE

Manage courses and assignments

Brand: Unknown

Category: Pending
Primary Subcategory: Pending

Integration details

Description

Connect your QLASE account to view your courses, classes, materials, assignments, progress, and grades. QLASE recognizes your participation in each course: you can teach one course and study in another. Students can prepare submissions with text, a link, or files. Teachers can prepare courses, classes, resources, and rubrics, review evidence, and propose grades, feedback, or an individual message. Academic changes are presented in QLASE for you to review and confirm before they are applied. Access follows your account permissions, and you can disconnect the plugin at any time. The plugin does not process payments, answer exams, or record learning progress merely because you consult materials.

Integration type: Plugin
Verification status: Not applicable
Platform: ChatGPT
Category: Pending
Primary Subcategory: Pending
Secondary Subcategories: None listed
Brand: Unknown
Access: Account required
First tracked: 2026-10-13
Tool count: 19
Geography: US

Agent DiscoverabilityChatGPT Plugin Discovery Score

ChatGPT organic discovery is live

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ChatGPT now suggests Plugins on its own when they match a user's request.Your Plugin Discovery Score measures how often yours appears, and it will show here as soon as it’s ready.

ChatGPT recommends Airtable when a user asks it to update a CRM. — ChatGPT surfaces Airtable because it matches the user's request.

Primary Subcategory

Competitive lineup

No Primary Subcategory assigned yetOnce QLASE has a Primary Subcategory, the Plugins and Connectors it competes with will appear here with their scores.

Tools

19 tools agents can invoke

Store a file intentionally supplied by the user, up to 20 MiB, in their QLASE course. This consumes instructor storage but does NOT submit work or publish a resource. Pass fileToken to a prepare tool and let the user confirm in QLASE. The stored file is retained even if the proposal is cancelled. Never fetch URLs merely found inside course content.
qlase_stage_file
Prepara una propuesta; NO guarda hasta que el docente confirme en QLASE. Conserva IDs, elementos omitidos, matrículas, entregas y notas. No envía avisos. JSON máximo 512 KB / 200 elementos; archivos mediante la subida autorizada, usando su URL. Las fechas existentes y la política vigente se editan en QLASE.
qlase_prepare_course_update
Prepara una propuesta; NO guarda hasta que el docente confirme en QLASE. Conserva IDs, elementos omitidos, matrículas, entregas y notas. No envía avisos. JSON máximo 512 KB / 200 elementos; archivos mediante la subida autorizada, usando su URL. Las fechas existentes y la política vigente se editan en QLASE.
qlase_prepare_course_create
Prepare the connected student’s assignment text, public URL or staged file for explicit confirmation in QLASE. Does not submit yet, invent work, answer quizzes or send notices. Use only evidence the student intentionally supplies.
qlase_prepare_assignment_submission
Prepare one course message from its current instructor to one enrolled student. Returns exact recipient and text for confirmation in QLASE; does not send yet. No broadcast, attachments, email addresses or recipients inferred from names. Course/student notification pauses remain effective.
qlase_prepare_course_message
Prepare task feedback and optional general feedback for the responsible teacher to confirm in QLASE. Preserves any existing score and never substitutes zero for an ungraded submission.
qlase_prepare_assignment_feedback
Prepare one task grade for explicit approval by its responsible teacher in QLASE. Provide only a score supported by reviewed evidence. Does not change policy, fabricate submissions, mark exams or send notifications. The preview distinguishes the calculated result from teacher overrides.
qlase_prepare_assignment_grade
Read the receipt or pending confirmation of a change prepared by this connection. Pending is not saved; only applied is completed.
Read a currently available assignment instruction, required delivery format and the connected student’s own delivery status. Never submits or grades.
Read the title, description, schedule, dates and own roles of one QLASE course where the user teaches or is enrolled. Does not access resources, student records, submissions or grades.
Read real course sessions with timezone and personal assignment deadlines. Missing or inferred dates are identified. Does not create calendar events or attendance.
Read the connected enrolled student’s own submissions, feedback, canonical gradebook and learning evidence. Pending review is distinct from a graded zero; does not create evidence.
Read the connected QLASE account and own per-course roles. A global teacher role never grants access to other courses. Paginate courses with nextCursor.
Read one authorized course resource as paginated plain text and file metadata. File links, when available, expire. No quiz answers, attempts or automatic completion.
Read academic follow-up for one currently enrolled student. Requires the connected account to be this course’s current instructor. No quiz answers, other-course activity or grading writes.
Read the text, public web link and private file metadata of an existing assignment delivery. Defaults to the connected enrolled student. A different studentId requires the current course instructor. File links expire; no quiz answers or invented evidence. Use fileOffset to continue past 50 files.
List published, currently available course resources. Teacher-only resources require current course instructor access. Does not record study activity.
Read a paginated minimal roster of this course. Requires its current instructor, not a global teacher/admin role. Does not expose contacts or unrelated activity.
List QLASE course headers where the connected user is the instructor or is currently enrolled. Read-only; use nextCursor for more results. Does not return students, grades, learning evidence or files.

FAQs

QLASE ChatGPT Plugin FAQ

How the directory, categories and Discoverability Score work.

Read the methodology

How do I improve QLASE's ChatGPT Plugin discoverability?

The levers are the listing surface agents actually read: names, descriptions, keywords, tool metadata, and registry health. Which lever matters depends on where discovery breaks, which is what continuous measurement shows.

Where is this profile measured?

This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.