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 djangonavarro220/agentic-life-os --skill learning-projectsgit clone --depth 1 https://github.com/djangonavarro220/agentic-life-osWrote 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/djangonavarro220/agentic-life-os/learning-projects)<a href="https://agentmods.dev/skills/djangonavarro220/agentic-life-os/learning-projects"><img src="https://agentmods.dev/badge/skills/djangonavarro220/agentic-life-os/learning-projects/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/djangonavarro220/agentic-life-os/learning-projects"><img src="https://agentmods.dev/badge/skills/djangonavarro220/agentic-life-os/learning-projects.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 | $0.00023 | $0.01015 |
| Opus 5 | $0.00012 | $0.00508 |
| Sonnet 5 | $0.00005 | $0.00203 |
| Haiku 4.5 | $0.00002 | $0.00102 |
Grade A, and why
learning-projects 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 10d 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.
This is a copy
78% identical to decision-journal — 26 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 133 lines — stays where its author put it; the contents beside it link to each section on GitHub.
learning-projects
Mandatory integrity contract
Before acting, load and follow ../../references/data-integrity.md. Its provenance, missing-value, correction-history, defensive-write, backup, and recovery rules are mandatory for this subskill.
Track learning as a set of goals, practice loops, notes, projects, blockers, and review cadence. This skill keeps momentum without pretending every interest needs a huge curriculum.
Trigger
Use when the user asks to:
- track a course, book, topic, skill, or practice habit
- plan a learning session or next exercise
- review notes and schedule spaced repetition or project work
- identify blockers or prerequisites
- decide what to learn next based on goals and available energy
Operating model
- Resolve the active runtime and private data directory.
- Read
$LIFEOS_DATA_DIR/config.jsonwhen available. - If source ownership for this domain is unknown, inspect runtime-owned systems read-only and propose a source decision before writing anything.
- Load only
runtimes/<active-runtime>.mdif runtime-specific commands, storage pointers, delivery, scheduling, or integration behavior are needed. - Do not load other runtime adapters for the same task.
- Prefer pointers, access notes, review dates, and short operational state over duplicated raw data.
- Ask before changing external systems, creating reminders, contacting people, importing data, broad migrations, or destructive cleanup.
- Record useful Life OS coordination state under
$LIFEOS_DATA_DIR/learning-projects/data.jsonwhen the user/runtime policy allows it.
Source decision
Store the source choice in $LIFEOS_DATA_DIR/learning-projects/data.json when useful:
{
"source_decisions": {
"learning_records": {
"owner": "runtime|external|life-os",
"runtime": "<active-runtime>",
"source": "<tool-or-system>",
"access": "<short pointer or retrieval instruction>"
}
}
}
This JSON shape belongs in $LIFEOS_DATA_DIR/<skill-name>/data.json, not global config.json. Use Life OS as the source of truth only for Life-OS-specific preferences, technical state, or notes explicitly created inside Life OS. Do not silently create a second private database when the runtime or an external system already owns the real data.
What ships with it
3 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.
- 10d ago First seen · 133 lines · 23 tokens per session scan A c58a05da1b62
learning-projects is a skill published in the GitHub repository djangonavarro220/agentic-life-os (11 stars, last pushed 29d ago), licensed MIT. It adds 23 tokens to every session and 1,015 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 78% identical to decision-journal, differing in 26 lines, and is treated as a copy.
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