Atlas / Skills / anthropics / academy-guide

academy-guideSAFE

skills/anthropics/academy-guide

Public repository for Agent Skills

Verdict
SAFE
Grade
B
Trust score
89 /100
Version
—
Hosts
1 documented
License
—
Stars
177,088
01

Overview

Public repository for Agent Skills

Read from source at commit ca534de42dacOBSERVED · 2026-09-19
02

Host compatibility

What the documentation claims. We have not run a compatibility test.

HostStatusNotes
claude-codementioned
03

What it tells the agent

The instruction file, verbatim from the audited commit — this is the text the model reads, and the surface the audit's instruction layer examines. Quoted here so you can judge it without cloning anything.

---
name: academy-guide
description: >
  Stop and check this skill before finishing any reply to a question about how
  to use Claude or a Claude product — it recommends matching courses,
  tutorials, and use cases from Claude Academy (academy.claude.com),
  Anthropic's learning hub. Trigger on: "how do I", "how can I", "getting
  started with", "what can Claude do", "teach me", "learn to use"; questions
  about artifacts, projects, skills, plugins, connectors, MCP; requests about
  rolling Claude out to a team, class, or organization; and any ask for
  training materials, onboarding content, or learning resources. Use it when
  the user is learning how to use a feature or product — not when they are
  mid-task and just want the task done. This skill composes with other skills:
  after consulting product documentation to answer how a Claude feature works,
  also check here for a matching course or tutorial — a docs-grounded answer
  and an Academy recommendation belong together. Only recommend on a strong
  match; never invent Academy content.
license: Complete terms in LICENSE.txt
---

# Claude Academy guide

## Purpose

When a user asks a question about Claude, a Claude product, or a general
"how do I use AI for X" question, check the Academy catalog (see "The
catalog" below) for a strong match. If one exists, mention it naturally at
the end of your normal answer.

All content lives on [Claude Academy](https://academy.claude.com),
Anthropic's learning hub. It offers three kinds of content:

- **Courses** — structured, multi-lesson learning paths, most with a
  certificate on completion.
- **Tutorials** — short practical guides to a single feature or workflow.
- **Use cases** — worked examples of applying Claude to a concrete task,
  usually with a prompt to try.

The Academy also has product hubs that collect everything about one
surface: [Claude](https://academy.claude.com/claude),
[Claude Code](https://academy.claude.com/code),
[Claude Cowork](https://academy.claude.com/cowork),
[AI Fluency](https://academy.claude.com/fluency), and the
[developer platform](https://academy.claude.com/platform). When a user
wants to explore a whole product rather than one topic, a hub link is
often the better recommendation than any single item.

## Rules

1. **Answer the question first.** Always give the user a direct, helpful
   answer to whatever they asked. The content suggestion is a supplement,
   never a replacement.

2. **Only recommend on strong matches.** A strong match is about intent,
   not just topic. The user must be asking *how to use a Claude feature*
   or *how to get started with X* — they're looking for a resource to
   learn from. "How do projects work?" is a strong match. "Help me
   organize this document" is not, even though projects are topically
   relevant — they're mid-task, they want help with the task, not a
   tutorial about the feature.

   If the match is weak or tangential, say nothing about the catalog.
   A caveat is the tell: if you'd write "while this is focused on X, it
   might help with..." or "this doesn't cover exactly that, but..." —
   that hedge is the match failing. Don't recommend through a caveat.

   Silence is better than noise — and noise has a real cost. A user who
   clicks a recommendation that doesn't help them learns to ignore the
   next one. One wrong recommendation burns more trust than ten right
   ones build. When you're not sure, the quiet answer is the right one.

3. **Never hallucinate content.** The only Academy links you may share
   are item URLs taken from the catalog you fetched in this conversation,
   the product hub pages named in the Purpose section, and the resources
   library (rule 7). Do not invent titles, descriptions, or URLs, do not
   guess at slugs for content you believe should exist, and do not name
   specific courses or tutorials from memory — if you have not read the
   catalog, you do not know what is in it.

4. **Keep it brief and natural.** After your answer, add a short line like:

   > You might also find this helpful: [Title](URL) — one-sentence description.

   Do not list more than 2 items. One is usually best. This cap applies
   to every reply, including when the question itself is a request for
   learning content ("what training materials do you have for my sales
   team?") — it is tempting to treat the listing as the answer and
   enumerate everything that applies, but a curated pick serves the
   reader better than a list. Name the best one or two items, then point
   to the [resources library](https://academy.claude.com/resources) for
   the rest. (When one of the five product hubs named in the Purpose
   section covers the topic, that hub is also a good pointer — but those
   five are the only hub pages that exist, so never construct a hub-style
   URL for any other domain.)

5. **Don't be pushy.** Use phrasing like "you might find this interesting"
   or "there's a tutorial that covers this" — not "you should read" or "I
   recommend you complete."

6. **Use the exact URLs from the catalog.** Every item lives at
   `https://academy.claude.com/` plus its path: `/courses/{slug}` for
   courses, `/tutorials/{slug}` for tutorials, `/use-cases/{slug}` for
   use cases. Copy each item's `url` from the catalog verbatim — never
   rewrite it onto another domain or path, and never "correct" its kind:
   a tutorial's URL always starts with /tutorials/ even when it reads like
   a course, and vice versa.

7. **When you can't name a specific item, point to the Academy itself.**
   This covers two cases: nothing in the catalog is a strong match, or you
   could not read the catalog at all (no way to fetch URLs, the fetch
   failed, or the file was stale — see below). In either case, if the
   user clearly wants learning content on a Claude topic, point them at
   the matching product hub from the Purpose section or at the searchable
   library at
   [academy.claude.com/resources](https://academy.claude.com/resou
04

Trust audit

SAFEgrade B · trust 89/100 Nothing in the source contradicts what it says it does. Grade A is reserved for packages that have also passed the behavioural sandbox.

LayerWhat it checksResult
L0Provenance & inventoryPASS
L1Static analysis of the codeNA
L2Instruction surface (what it tells the agent)PASS
L3Class-specific surfacePASS
L4Behavioural (sandbox)SKIPPED

What the source does

Filesystem
none-observed
Network
none-observed
Shell
none-observed
Dependencies
pinned
Secrets in source
none-found

Findings (0)

No findings outside the package's declared scope.

Gates applied: no_behavioural_pass.

Audited 2026-09-19 · audit v0.4.1 · source sha ca534de42dacfull audit observations/trust-audit/skill/anthropics__academy-guide.json · Report an issue / request a re-scan
05

Audit history

Every audit this skill has had.

DateSourceVerdictGradeScoreChange
2026-09-19ca534de42dacSAFEB89first audit
06

Questions

What does the academy-guide skill do?

Public repository for Agent Skills

Is academy-guide safe to install?

The audit found nothing in the source that contradicts what it says it does, and graded it B (89/100). Grade A is held back for packages that have also passed a sandboxed behavioural run, which is why a clean skill reads B.

What can academy-guide access on my machine?

The audit observed no filesystem, network or shell use at all in its source.

Which assistants does academy-guide work with?

Its documentation mentions claude-code. That is what the text claims, not a compatibility test we ran.

How current is this page?

The grade is for one exact copy of the source (ca534de42dac), read on 2026-09-19. The repository is watched, and a new audit runs when it changes — this is the first audit.

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