Getting it into your agent
There is no command for this one: it runs only inside a plugin, and the catalogue could not identify which plugin ships it. The source is linked below.
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.
[](https://agentmods.dev/skills/sttrevens/4dgames-skills/learning-project-planner)<a href="https://agentmods.dev/skills/sttrevens/4dgames-skills/learning-project-planner"><img src="https://agentmods.dev/badge/skills/sttrevens/4dgames-skills/learning-project-planner/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/sttrevens/4dgames-skills/learning-project-planner"><img src="https://agentmods.dev/badge/skills/sttrevens/4dgames-skills/learning-project-planner.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 | $0.00041 | $0.00931 |
| Opus 5 | $0.00020 | $0.00465 |
| Sonnet 5 | $0.00008 | $0.00186 |
| Haiku 4.5 | $0.00004 | $0.00093 |
Grade A, and why
learning-project-planner 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 9d 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 — 131 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Learning Project Planner
Use this skill to turn a topic into a durable learning project, not a one-off study plan. The output should preserve long-term context so future agent sessions can resume the learning state quickly.
Default Project Shape
<topic>/
├── <slug>-learning-roadmap.md
├── <slug>-learning-context.md
├── <slug>-learning-dashboard.html
└── week-01-<first-topic>.md
Workflow
- Clarify only if necessary. If the user gives a topic and broad intent, proceed with reasonable assumptions.
- Inspect nearby existing learning projects when available, especially user-specific examples under
~/Documents. - Build the learning route around the user's purpose, not around a textbook table of contents.
- Generate four artifacts: roadmap, context, dashboard, and first-week lesson.
- Keep the first version compact enough to use immediately; leave room for future weekly notes.
- Verify files exist and basic dashboard syntax is sane.
Roadmap Requirements
- one-paragraph purpose
- 4-6 phases
- each phase has time, goal, themes, output standard
- a week-by-week table
- a fixed weekly template
- suggested prompts the user can say to the agent later
Good week rows use this shape:
| Week | Core question | Tool / anchor material | Exercise output |
Choose the duration based on topic size:
- 6-8 weeks for compact tool or paper tracks
- 12 weeks for focused technical topics
- 18-24 weeks for cross-disciplinary or worldview topics
- 24+ weeks only when the user clearly wants a long course
Context File Requirements
Create <slug>-learning-context.md with:
- update date
- total course objective
- file list
- current progress
- user current understanding state
- user strengths and risks
- teaching strategy
- key distinctions
- relation to nearby learning projects
This file is for future agent sessions. Write it as persistent state, not marketing copy.
Week 01 Requirements
Create week-01-<topic>.md with:
- the first core question
- one intuitive explanation
- one concrete example
- one connection to the user's purpose
- 2-4 exercises
- 3-5 review questions
What ships with it
6 files 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.
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.
- 9d ago First seen · 131 lines · 41 tokens per session scan A 5dab88cef27e
learning-project-planner is a skill published in the GitHub repository Sttrevens/4dgames-skills (5 stars, last pushed 2mo ago), licensed MIT. It adds 41 tokens to every session and 931 once invoked, about $0.0002 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.
Other skills, from other repositories
hr-onboarding
A new-hire onboarding plan as a single page — first week schedule, buddy + manager intro, learning track, equipment checklist, and "you're set when…" outcomes. Use when the brief mentions "onboarding", "new hire", "first week plan", or "入职".
book-mirror
Take any book (EPUB/PDF), produce a personalized chapter-by-chapter analysis. Each chapter is preserved in detail (The Chapter) and mirrored back to the reader's actual life (The Mirror) using brain context. The mirror observes and resonates — a friend pointing out parallels, NOT a consultant rearranging the reader's…
miniapp
Build a tiny interactive HTML playground only when someone asks to see, play with, or step through a mechanism.
eli5
Explain research, papers, or technical ideas in plain English with minimal jargon, concrete analogies, and clear takeaways. Use when the user says "ELI5 this", asks for a simple explanation of a paper or research result, wants jargon removed, or asks what something technically dense actually means.
deck-course-module
A course or workshop slide template with persistent learning goals, teaching pages, multiple-choice self-tests, and a wrap-up.
master-yinguang
A reference-based assistant for questions about Yinguang and Pure Land Buddhism, a Buddhist tradition focused on faith, ethical living, and practice connected with rebirth in the Pure Land. It can answer in Yinguang’s historical teaching style.