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 skills add cosmicstack-labs/mercury-agent-skills --skill micro-learninggit clone --depth 1 https://github.com/cosmicstack-labs/mercury-agent-skillsWrote 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/cosmicstack-labs/mercury-agent-skills/micro-learning)<a href="https://agentmods.dev/skills/cosmicstack-labs/mercury-agent-skills/micro-learning"><img src="https://agentmods.dev/badge/skills/cosmicstack-labs/mercury-agent-skills/micro-learning/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/cosmicstack-labs/mercury-agent-skills/micro-learning"><img src="https://agentmods.dev/badge/skills/cosmicstack-labs/mercury-agent-skills/micro-learning.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00021 | $0.00507 |
| Opus 5 | $0.00010 | $0.00253 |
| Sonnet 5 | $0.00004 | $0.00101 |
| Haiku 4.5 | $0.00002 | $0.00051 |
Grade A, and why
micro-learning 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 8d 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.
What it actually says
Micro-Learning
Design bite-sized learning experiences that fit into busy schedules.
What is Micro-Learning?
| Feature | Traditional | Micro-Learning |
|---|---|---|
| Duration | 30-60 min | 2-10 min |
| Format | Lecture, textbook | Video, quiz, interactive |
| Focus | Multiple topics | Single concept or skill |
| Schedule | Fixed time | On-demand, just-in-time |
| Retention | Variable | High (spaced, focused) |
Design Principles
1. One Concept Per Module
Each micro-learning unit should teach exactly one thing:
- One formula or rule
- One step in a process
- One concept or definition
- One tool or technique
2. Structure Each Module
Hook (15s) → Why this matters
Core (2-5 min) → The concept, demonstrated
Apply (1-2 min) → Quick practice or scenario
Check (30s) → One question to confirm understanding
3. Mobile-First Design
- Vertical video (9:16 aspect ratio)
- Large text, high contrast
- Touch-friendly interactions (tap, swipe)
- Offline-capable
- Progress sync across devices
Engagement Patterns
- Streaks: Daily login rewards (Duolingo model)
- Push notifications: Reminders (not spam)
- Leaderboards: Optional, opt-in competition
- Badges: Complete a series → earn recognition
- Social sharing: Post achievements
Delivery Strategy
- New module every 1-3 days
- Spaced review: previous module content appears 1, 3, 7 days later
- Just-in-time: deliver module right before user needs it
- Seasonal: align with calendar events or product launches
Platform Best Practices
- Track completion rate (target >70%)
- Track assessment score (target >80%)
- A/B test module length, format, and schedule
- Survey learners after each series for improvement
- Iterate based on where learners drop off
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.
- 8d ago First seen · 68 lines · 21 tokens per session scan A 5ccde7177c99
micro-learning is a skill published in the GitHub repository cosmicstack-labs/mercury-agent-skills (470 stars, last pushed 17d ago), licensed MIT. It adds 21 tokens to every session and 507 once invoked, about $0.0001 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 2026-09-03.
Other skills, from other repositories
math-olympiad
Solve competition math problems (IMO, Putnam, USAMO, AIME) with adversarial verification that catches the errors self-verification misses. Activates when asked to 'solve this IMO problem', 'prove this olympiad inequality', 'verify this competition proof', 'find a counterexample', 'is this proof correct', or for any…
google-agents-cli-onboarding
Onboarding entrypoint for agents-cli in Agent Platform. It should be used when the user wants to "create a new agent", "develop an agent", "build an agent using ADK", "run the agent locally", "debug agent code", "test an agent", "evaluate an agent", "deploy an agent", "publish an agent", "monitor an agent", or needs…
practice-cognition
A method for testing ideas in practice, learning from the results, and improving the next attempt through repeated cycles.
rust-learner
Learn Rust language features and crate updates. Use when user asks about Rust version changelog, what's new in Rust, crate updates, Cargo.toml dependencies, tokio/serde/axum features, or any Rust ecosystem questions.
81-pipecat
Create your Pipecat skill from official documentation, then learn to improve it throughout the chapter.
35-google-adk-reliable-agents
Create your Google Agent Development Kit skill in one prompt, then learn to improve it throughout the chapter.