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 alivecontext/alive --skill alive-morninggit clone --depth 1 https://github.com/alivecontext/aliveWrote 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/alivecontext/alive/alive-morning)<a href="https://agentmods.dev/skills/alivecontext/alive/alive-morning"><img src="https://agentmods.dev/badge/skills/alivecontext/alive/alive-morning/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/alivecontext/alive/alive-morning"><img src="https://agentmods.dev/badge/skills/alivecontext/alive/alive-morning.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 | $0.00024 | $0.00414 |
| Opus 5.5 | $0.00010 | $0.00166 |
| Sonnet 5.5 | $0.00005 | $0.00083 |
| Haiku 4.5 | $0.00002 | $0.00041 |
Grade A, and why
alive-morning 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.
What it actually says
Morning Briefing
Read all active walnuts. Surface what matters. Deliver to Telegram.
Process
- Find world root (check ALIVE_WORLD_ROOT, ~/world, iCloud path)
- Read
_kernel/now.jsonfor every non-archive walnut - Calculate health signals (active/quiet/waiting) from rhythm + updated date
- Check
.alive/stash.jsonfor unrouted items - Check
03_Inbox/for unrouted files - Check
.alive/_squirrels/for unsaved sessions
Output Format
Morning -- [date]
PRIORITY
[walnut]: [top urgent task]
[walnut]: [top urgent task]
ACTIVE
[walnut] [phase] [top urgent or active task]
[walnut] [phase] [top urgent or active task]
NEEDS ATTENTION
[walnut] waiting [N] days past [rhythm]
[walnut] [N] urgent tasks
INBOX: [N] unrouted files
STASH: [N] pending items
UNSAVED: [N] sessions
Reply with a walnut name to get details.
Rules
- Keep output under 500 words -- this is a briefing, not a report
- Only surface walnuts that need attention (active with urgents, or past rhythm)
- Skip healthy walnuts with no action items
- People nudges only for close contacts (inner circle) past 2 weeks
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 · 60 lines · 24 tokens per session scan A dea7fb402355
alive-morning is a skill published in the GitHub repository alivecontext/alive (131 stars, last pushed 22d ago), licensed MIT. It adds 24 tokens to every session and 414 once invoked, about $0.0001 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
fresh-start
Continue in a new chat without losing anything — writes a compact handoff to paste into a fresh conversation. Use whenever the user wants to move to a new chat or conversation, hits usage limits, says replies got slow or Claude forgets earlier details, or the conversation has grown long.
token-check
Estimate how many tokens a pasted text, an attached file or the conversation so far takes, what it means for the context window and usage limits, and how to cut it. Use when the user asks how big something is in tokens, why they keep hitting limits, or whether a file is too large to send.
doc-digest
Turn a long document, PDF, transcript, spreadsheet or log into a compact working digest the conversation can continue from. Use when the user shares or pastes something long (several pages or more) and wants to discuss, analyze, compare or use it over more than one message, or asks to summarize a document so they can…
project-context
Turn background the user keeps re-explaining or re-pasting into reusable instructions, so new chats start with it for free. Use when the user repeats the same context, rules, style guide, persona or reference text across messages or chats, says they are tired of explaining the same thing, or asks how to set up a…
wrap-session-up
End-of-session review for a Claude Code conversation. Replays what was discussed, checks for open action items, documents relevant outcomes in the brain vault, and creates Todoist tasks for anything untracked. Use at the end of a work session to ensure nothing falls through the cracks.
brain-log
Show brain sync and evolution history.