alive-save

alive-save is a skill for Claude Code, Codex from alivecontext/alive. It costs 21 tokens per session (775 once invoked), scanned A, original, MIT.

A checkpoint routine that reviews pending notes, decisions, and tasks, then saves approved items into the right walnut and updates its records. A walnut is a named folder that tracks an area of work or life.

In plain words
What is it for?
Use it to review the conversation for missed items, approve where they belong, update logs and work bundles, promote tasks, and refresh project status.
Why use it?
It turns temporary session notes into organized, searchable records and tasks instead of leaving them scattered or unsaved.

Skill for Claude CodeCodex

Install

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.

agentmods
npx agentmods add skills/alivecontext/alive/alive-save
Any agent
npx skills add alivecontext/alive --skill alive-save
Clone the repo
git clone --depth 1 https://github.com/alivecontext/alive

Made for: Claude Code, Codex.

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.

agentmods badge for alive-save

README.md
[![agentmods](https://agentmods.dev/badge/skills/alivecontext/alive/alive-save.svg)](https://agentmods.dev/skills/alivecontext/alive/alive-save)
Your own site
<a href="https://agentmods.dev/skills/alivecontext/alive/alive-save"><img src="https://agentmods.dev/badge/skills/alivecontext/alive/alive-save.svg" alt="Measured on agentmods" height="20"></a>
Per session 21 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 775 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00021 $0.00775
Opus 5 $0.00010 $0.00387
Sonnet 5 $0.00004 $0.00155
Haiku 4.5 $0.00002 $0.00077

Measured 4d ago against content hash d7216d5bf61b, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

alive-save 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 4d 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.

hermes/hermes-skills/alive-save/SKILL.md · 130 lines

How it starts

The opening of the file, as written. The whole thing — 130 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Save

Route the stash, write the log, update the bundle, trigger projection.

Pre-Save

  1. Ask: "Anything else before I save?"
  2. Scan back through conversation for missed stash items
  3. Present stash grouped by type:
Stash (N items):

Decisions:
  1. [decision] -> [walnut]
  2. [decision] -> [walnut]

Tasks:
  3. [task] -> [walnut]

Notes:
  4. [note] -> [walnut]
  5. [note] -> [[person]]

Confirm, edit, or drop items?

Write Log Entry

Prepend to _kernel/log.md after frontmatter. Use terminal:

# Read existing log, prepend new entry after frontmatter

Entry format:

## YYYY-MM-DDTHH:MM:SS -- squirrel:[session_id]

**Type:** [feature/decision/research/strategy/etc]

[Narrative paragraph -- what happened, why, what it means]

### Decisions
- [decision with rationale]

### Artifacts
- [files created/modified]

signed: squirrel:[session_id]

Update Active Bundle

Write to the active bundle's context.manifest.yaml:

  • Update context: field with current state
  • Update status: if changed

Route Tasks

Confirmed task-shaped stash items are promoted in a single batch via alive tasks promote after the squirrel YAML stash is written. The CLI walks each type: task stash item, writes the task row, and stamps promotion_state / task_id markers back onto the squirrel file under a single flock for crash safety.

"$ALIVE_PLUGIN_ROOT/bin/alive" tasks promote \
  --squirrel "[session_id]" \
  --walnut "[path]"

Python fallback if bin/alive is missing:

"${ALIVE_PYTHON:-python3}" "$ALIVE_PLUGIN_ROOT/scripts/cli.py" tasks promote \
  --squirrel "[session_id]" --walnut "[path]"

For non-promotion edits on existing tasks (mark done, change priority), use tasks.py directly:

python3 "$ALIVE_PLUGIN_ROOT/scripts/tasks.py" done --walnut "[path]" --id "[task_id]"

Never read or write tasks.json directly. Fail-loud if the CLI binary is missing on both paths — do not fall back to per-item adds from the agent.

Read the full file on GitHub · 130 lines

Changes

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.

  1. 4d ago First seen · 130 lines · 21 tokens per session scan A d7216d5bf61b

Subscribe to this mod's changes

alive-save is a skill published in the GitHub repository alivecontext/alive (127 stars, last pushed 8d ago), licensed MIT. It adds 21 tokens to every session and 775 once invoked, about $0.0001 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 2026-08-30.

Related

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Audit the fixed context overhead every session starts with — system prompt, MCP tools, agents, CLAUDE.md, memory — measured from real transcript usage.

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handoff

Create a session briefing for the next session — auto-loaded, then archived. Use when the user is wrapping up a session, says "save this for next time", "hand off", "brief the next session", or wants to ensure continuity before stopping work.

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forget

Remove entries from remembered items. Use when the user wants to delete, remove, or clear a previously remembered item, or says "forget this", "remove that memory", or "clear my preferences".

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recall

Inject filtered context from previous sessions. Use when the user says "recall", "what happened last session", "what did we work on", "inject previous context", or when you need context from a prior session to continue work. Also useful mid-session when the user references prior work you don't have context for.

edimuj/claude-mneme · 66 tokens

remember

Save something to memory for future sessions. Use when the user says "remember this", "save for later", "don't forget", or wants to persist any preference, fact, lesson, or note across sessions.

edimuj/claude-mneme · 44 tokens

status

Check plugin health and diagnose issues. Use when the user asks about mneme health, memory status, plugin errors, wants to troubleshoot memory issues, or sees error warnings at session start.

edimuj/claude-mneme · 39 tokens