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 agentmods add skills/acquiredl/acu/acu-learnnpx skills add Acquiredl/Acu --skill acu-learngit 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.svg" alt="Measured on agentmods" 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 | $0.00060 | $0.01657 |
| Opus 5 | $0.00030 | $0.00829 |
| Sonnet 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 4d 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.
- 4d 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 25d ago), licensed MIT. It adds 60 tokens to every session and 1,657 once invoked, about $0.0003 per session on Opus 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.
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