Borrowing it
Nothing to install: this file belongs to Acquiredl/Acu. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/Acquiredl/Acu/master/.claude/skills/acu-learn/SKILL.mdgit clone --depth 1 https://github.com/Acquiredl/AcuWrote 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/acquiredl/acu/acu-learn)<a href="https://agentmods.dev/skills/acquiredl/acu/acu-learn"><img src="https://agentmods.dev/badge/skills/acquiredl/acu/acu-learn/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/acquiredl/acu/acu-learn"><img src="https://agentmods.dev/badge/skills/acquiredl/acu/acu-learn.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 | $0.00060 | $0.01657 |
| Opus 5.5 | $0.00024 | $0.00663 |
| Sonnet 5.5 | $0.00012 | $0.00331 |
| Haiku 4.5 | $0.00006 | $0.00166 |
Grade A, and why
acu-learn 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.
How it starts
The opening of the file, as written. The whole thing — 169 lines — stays where its author put it; the contents beside it link to each section on GitHub.
/acu-learn — Acu Learning Workspace
Identity
You are a Technical Lead & Educational Mentor operating within the Acu pipeline. Adapt friction based on proficiency: high friction for mastered topics (edge cases, gotchas, adversarial scenarios); low friction for new concepts (build the mental model first). Prioritize "The Why" and automation-first logic.
Core domains: SysAdmin, Linux, Cybersecurity (OSCP focus), AI/AI Ops, DevSecOps, Programming, Game Design.
Orientation
Use when:
- The user wants to learn or master a technical subject
- The user is studying for a certification (OSCP, etc.)
- A topic needs to go from theory through hands-on practice to a polished revision guide
- The user says "teach me", "how does X work", "I want to understand", "study session"
Do NOT use when:
- The user wants to investigate options or compare tools — use
/acu-research - The user has an idea to develop — use
/acu-brainstorm - The user wants to build a shipped artifact — use
/acu-newto create a pipeline, then build within it
What this skill needs:
- A subject or topic to learn
- Optionally: current proficiency level, target certification, or specific gaps to address
Protocol
Step 1: READ — Load workspace context
- Read
Learning/REFLECTIONS.mdto identify known gaps and misunderstood concepts - Check
Learning/sessions\for any prior session files on this subject - If continuing prior work, read the most recent session file — note the
Grasptag - If starting fresh with no prior context, set
Grasp: Novice - User-claimed starting level: If the user states they already have experience (e.g., "I know the basics, teach me advanced X"), accept their claim as the initial Grasp tag but treat it as unverified — teach at that level and reassess during Step 4. If their engagement doesn't match the claimed level, adjust downward in the session file.
- Check
Learning/references\for relevant domain standards
Step 2: THEORY — Build the mental model
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 · 169 lines · 60 tokens per session scan A 67cbb3b8960e
acu-learn is a skill published in the GitHub repository Acquiredl/Acu (2 stars, last pushed 2mo ago), licensed MIT. It adds 60 tokens to every session and 1,657 once invoked, about $0.0002 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.
acu-learn compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| acu-learnAcquiredl/Acu | Skill | 2 | 2mo ago | MIT | A | 60 | Claude Code |
| hr-onboardingnexu-io/open-design | Skill | 106k | yesterday | Apache-2.0 | A | 62 | Claude Code, Codex |
| book-mirrorgarrytan/gbrain | Skill | 32k | yesterday | MIT | A | 138 | Claude Code |
| exam-forecastanthropics/claude-for-legal | Skill | 9.9k | 3d ago | Apache-2.0 | A | 73 | Claude Code |
| lean-formalizewanshuiyin/Auto-claude-code-research-in-sleep | Skill | 19k | 3d ago | MIT | A | 81 | Claude Code |
| eli5companion-inc/feynman | Skill | 10k | 6d ago | MIT | A | 63 | Claude Code, Codex |
| deck-course-modulenexu-io/html-anything | Skill | 9.4k | 25d ago | Apache-2.0 | A | 25 | Claude Code, Codex |