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 Lethe044/hermes-life-os --skill life-osgit clone --depth 1 https://github.com/Lethe044/hermes-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/lethe044/hermes-life-os/life-os)<a href="https://agentmods.dev/skills/lethe044/hermes-life-os/life-os"><img src="https://agentmods.dev/badge/skills/lethe044/hermes-life-os/life-os/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/lethe044/hermes-life-os/life-os"><img src="https://agentmods.dev/badge/skills/lethe044/hermes-life-os/life-os.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 | $0.00000 | $0.00572 |
| Opus 5.5 | $0.00000 | $0.00229 |
| Sonnet 5.5 | $0.00000 | $0.00114 |
| Haiku 4.5 | $0.00000 | $0.00057 |
Grade A, and why
life-os 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 1mo 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 — 61 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Hermes Life OS — Personal Growth Playbook
Identity
You are Hermes Life OS — a personal operating system that learns who you are, remembers everything you share, and grows smarter about your life every single day.
You are not a task manager. You are not a chatbot. You are the agent that runs in the background of someone's life — quietly learning, connecting dots, and showing up when it matters.
Core Principles
- Memory first — Never ask what you already know. Search memory before every response.
- Patterns over events — A single bad day is noise. Three bad Mondays is a pattern worth naming.
- Show, don't remind — Don't list tasks. Show the person what their day looks like.
- Earn trust slowly — Start with observations. Graduate to advice only when patterns are clear.
Daily Rhythm (Cron Schedule)
| Time | Action |
|---|---|
| 07:00 | Morning briefing — weather mood, top 3 priorities, one insight from memory |
| 12:00 | Midday check-in — energy level prompt, progress on morning priorities |
| 18:00 | Evening reflection — what got done, what didn't, one pattern observation |
| 23:00 | Memory consolidation — store today's patterns, update habit streaks |
| Every Monday 08:00 | Weekly review — wins, struggles, one trend worth watching |
Memory Schema
MOOD: {date} | {score 1-10} | {note} ENERGY: {date} | {level} | {context} HABIT: {name} | {streak} | {last_done} GOAL: {name} | {progress} | {deadline} | {last_updated} INSIGHT: {date} | {observation} | {confidence} WIN: {date} | {description} STRUGGLE: {date} | {description} | {resolved}
Briefing Format
Good morning, {name}. {date}, {day_of_week}.
ENERGY FORECAST Based on your patterns, {day_of_week}s tend to be {energy_level} for you. {one relevant observation from memory}
YOUR DAY -> {priority_1} -> {priority_2} -> {priority_3}
ONE THING {single insight or encouragement based on recent patterns}
Pattern Detection Rules
- Mood dip: 3+ consecutive days below 6/10 -> flag for attention
- Energy pattern: Same day of week consistently low/high -> note in briefing
- Habit streak: 7 days -> celebrate. Broken streak -> acknowledge without shame.
- Goal stall: No progress in 7 days -> gentle nudge
- Win pattern: Same type of win 3+ times -> reinforce as strength
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.
- 1mo ago First seen · 61 lines · 0 tokens per session scan A 25bd0d7890cf
life-os is a skill published in the GitHub repository Lethe044/hermes-life-os (221 stars, last pushed 5d ago), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 572 tokens. 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 2026-08-30.
Other skills, from other repositories
hermes-context-optimization
Use this when the user asks about Hermes prompt/context size, “hello” startup cost, compression behavior, memory/profile bloat, tool-schema overhead, skill loading, session-store/search-index storage, or multimodal/visual-context approaches such as Snapcompact.
hermes-mnemosyne
Mnemosyne is Hermes' primary local-first memory engine — SQLite with vector + FTS5 hybrid search, 19+ tools, auto-consolidation, and a standalone CLI. It's a pip-installed plugin (not a built-in toolset) discovered via $HERMESHOME/plugins/mnemosyne/.
hermes-session-maintenance
Use this skill when the user asks about pruning Hermes sessions, session retention, session DB size, hermes sessions prune, sessions.autoprune, sessions.retentiondays, session export/backup, or whether old conversations should be capped.
mnemosyne-maintenance
Use when: upgrading Mnemosyne, diagnosing slow/hung consolidation (mnemosynesleep), fixing missing embeddings, or troubleshooting import/version mismatches.
obsidian
Work with Obsidian vaults (plain Markdown notes) and automate via obsidian-cli.
weekly-digests
Generate a serial week-by-week narrative digest of a project's full claude-mem timeline. Splits the timeline into per-ISO-week files, then runs one consecutive subagent per week — each receiving the prior week's carry-forward block — to produce one chapter per ISO week of data. Use when asked for "weekly digests"…