What is medify-ucat-analysis?

A guide for analysing personal Medify UCAT practice-test results. The UCAT is a medical-school admissions test, and the guide covers scores, trends, question topics, timing, and study priorities.

Use it to review total and section trends, compare performance with benchmarks, examine question timing and topic weaknesses, and create a focused study plan.

It ensures recommendations are based on live account data rather than guessed scores or generic study advice.

How ankitforcode/medify-mcp-server configures Cursor

Reuse

Borrowing it

Nothing to install: this file belongs to ankitforcode/medify-mcp-server. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.

Copy the file

curl -O https://raw.githubusercontent.com/ankitforcode/medify-mcp-server/main/.cursor/skills/medify-ucat-analysis/SKILL.md

Clone the repo

git clone --depth 1 https://github.com/ankitforcode/medify-mcp-server

Made for: Cursor.

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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/ankitforcode/medify-mcp-server/medify-ucat-analysis/github.svg)](https://agentmods.dev/skills/ankitforcode/medify-mcp-server/medify-ucat-analysis)

Your own site

<a href="https://agentmods.dev/skills/ankitforcode/medify-mcp-server/medify-ucat-analysis"><img src="https://agentmods.dev/badge/skills/ankitforcode/medify-mcp-server/medify-ucat-analysis/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/ankitforcode/medify-mcp-server/medify-ucat-analysis"><img src="https://agentmods.dev/badge/skills/ankitforcode/medify-mcp-server/medify-ucat-analysis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 72 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 0 findings. 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.

Model	Per session	Once invoked
Fable 5.1	$0.00072	$0.00936
Opus 5.5	$0.00029	$0.00374
Sonnet 5.5	$0.00014	$0.00187
Haiku 4.5	$0.00007	$0.00094

Measured 2mo ago against content hash 30e7540dfcb7, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

medify-ucat-analysis scanned grade A with 0 findings 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 2mo 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.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

.cursor/skills/medify-ucat-analysis/SKILL.md · 65 lines

How it starts

The opening of the file, as written. The whole thing — 65 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Medify UCAT analysis

Use the medify-ucat MCP server. Call tools for live account data — do not invent scores.

Full parameter reference: tools-reference.md.

Workflow

check_connection — if ok is false, tell the user to set MEDIFY_EMAIL + MEDIFY_PASSWORD or MEDIFY_SESSION_COOKIE, rebuild/restart MCP, retry.
refresh_scores when they just finished a mock or data looks stale.
Gather evidence in parallel (pick what the ask needs):
- analyze_score_trends — { "kind": "full" } for totals / section trends
- analyze_section_performance — { "kind": "full" } for VR/DM/QR ranking
- analyze_topic_performance — { "includeSj": false } for subtype vs population (default already excludes SJ)
- analyze_question_timing — { "limit": 10 } for clock use, thirds, time sinks, fast guesses
recommend_focus_areas:
- { "kind": "full", "includeSj": false, "targetTotal": 2250 } when they set a cognitive goal / ignore SJ
- omit targetTotal / set includeSj: true only if they want SJ advice
Optional: list_completed_mocks, get_mock_details, compare_mocks.

Reporting rules

Cognitive total = VR + DM + QR only (about 900–2700). Never add SJ bands into the total.
If targetTotal is set, lead with gap to target and ~points per section.
Name question subtypes from topic/timing tools (e.g. “logic puzzles”, “tables”, “full Q without keywords”) — not just “work on VR”.
Separate time sinks (slow zeros) from fast guesses (sub-budget zeros) — different fixes.
Prefer a Cursor canvas for multi-mock charts/tables; keep chat to verdict + priorities.
Empty mocks / failed auth → say so and stop. No fabricated history.

Tool map

Need	Tool	Key args
Auth health	`check_connection`	—
Refresh cache	`refresh_scores`	—
Raw mock list	`list_completed_mocks`	`kind`, `forceRefresh`
One mock	`get_mock_details`	`id`
Score history	`analyze_score_trends`	`kind`
Section rank	`analyze_section_performance`	`kind`
Subtype accuracy	`analyze_topic_performance`	`includeSj`, `minN`
Timing / sinks	`analyze_question_timing`	`limit`, `minN`
Practice plan	`recommend_focus_areas`	`kind`, `includeSj`, `targetTotal`
Diff two sits	`compare_mocks`	`idA`, `idB`

Read the full file on GitHub · 65 lines

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

tools-reference.md 3.0 KB

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.

2mo ago First seen · 65 lines · 72 tokens per session scan A 30e7540dfcb7

Subscribe to this mod's changes

medify-ucat-analysis is a skill published in the GitHub repository ankitforcode/medify-mcp-server (1 stars, last pushed 3mo ago), licensed MIT. It adds 72 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 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Analytics and metrics Learning and teaching

medify-ucat-analysis next to 6 skills from other repositories
Mod	Type	Stars	Last push	Licence	Scan	Tokens	Works with
medify-ucat-analysisankitforcode/medify-mcp-server	Skill	1	3mo ago	MIT	A	72	Cursor
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medify-mcp-server: Skill for Cursor