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 context-nowgit 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/context-now)<a href="https://agentmods.dev/skills/djangonavarro220/agentic-life-os/context-now"><img src="https://agentmods.dev/badge/skills/djangonavarro220/agentic-life-os/context-now/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/context-now"><img src="https://agentmods.dev/badge/skills/djangonavarro220/agentic-life-os/context-now.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 | $0.00042 | $0.01887 |
| Opus 5.5 | $0.00017 | $0.00755 |
| Sonnet 5.5 | $0.00008 | $0.00377 |
| Haiku 4.5 | $0.00004 | $0.00189 |
Grade A, and why
context-now 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 2mo 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 — 163 lines — stays where its author put it; the contents beside it link to each section on GitHub.
context-now
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.
Build a compact view of what matters now. This is the user-facing “where am I and what should I do next?” skill.
Trigger
Use when the user asks for a compact current-context or next-action view, including:
- what should I focus on?
- what should I look at now?
- catch me up
- where are we?
- what is active now?
- what am I waiting on?
- what should the next action be?
Keep triggers language-neutral in spirit: examples may be English, but the intent is current context, immediate focus, catch-up, and next action in any user language.
Context sources
Use python3 scripts/lifeos.py context-sources only when the agent needs a cheap wiring diagnostic. The helper reports configured pointer presence and runtime inventory freshness. It must not inspect a live runtime, infer Hermes/OpenClaw from filesystem heuristics, expose cached capabilities as current truth, rank priorities, choose sources for the request, or decide what matters.
If inventory is absent or stale, the agent should use the active harness/runtime-native tools or runtime adapter to inspect the live sources needed for the current question. The helper should not pretend to know every possible runtime.
Inspect only relevant, runtime-owned sources and Life OS private tracking pointers:
- current conversation/request
- Life OS
config.jsonand recent routine records - runtime TODO/task system, if configured
- calendar/mail/session/memory pointers only when relevant and available
- active blockers or recent decisions from loaded subskills
- in-progress guided meetings recorded in Life OS private state or the runtime task system
Do not dump raw history. Distill.
Source ladder
Use this order unless the user's request clearly narrows the scope:
- Current conversation and explicit user ask.
- Life OS config/source pointers and paused meeting state.
- Runtime-owned task/follow-up source.
- Runtime-owned routine records or cron output pointers.
- Calendar/mail/session/memory sources only when the configured pointers say they are relevant.
- Domain subskill state only for domains that are active, due, blocked, or explicitly named.
What ships with it
1 file 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.
- 2mo ago First seen · 163 lines · 42 tokens per session scan A 222a78593ce7
context-now is a skill published in the GitHub repository djangonavarro220/agentic-life-os (12 stars, last pushed 2mo ago), licensed MIT. It adds 42 tokens to every session and 1,887 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-08-30.
Other skills, from other repositories
Migrate
Intakes external content (notes, CLAUDE.md, Cursor rules, Obsidian/Notion/Apple Notes exports), classifies chunks against the LifeOS taxonomy, and commits with provenance after confidence-tiered approval. USE WHEN /migrate, migrate content, import from other LifeOS, bring in old notes, import Cursor rules, import…
Cortex
LifeOS memory, prior-session recall, and learning capture. USE WHEN capture this learning, document this learning, what did we learn recently, recent learnings, cortex, knowledge, knowledge base, search knowledge, what do we know about, archive, harvest, knowledge status, develop note, add to knowledge, add a people…
Profile
View, edit, or clear the LifeOS User Model (PRINCIPALIDENTITY.md) — persistent identity context loaded at session startup. Three intents: View, Edit (identity, goals, constraints, preferences), Clear (reset). Read by Algorithm OBSERVE and skills for personalization. USE WHEN profile, show profile, view profile, who am…
wiki-dashboard
Create dynamic, queryable Obsidian dashboard views using Bases or Dataview. Use for auto-updating tables, indexes, or structured views of vault content; not for ordinary question answering.
relevance-coarse-filter
Cheap, high-recall first-pass filter that removes obvious junk from a detector candidate pool before expensive story-origin research and PR judgment. Decides keep, monitoronly, or reject — never ranks, writes angles, verifies dates, or decides whether to pitch.
session-compact
AI DevKit · Compact a historical AI coding session with Jev when context is long, work is handed off or resumed, or durable continuation facts and memory candidates need extraction.