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Agent skill

Alive Cleanup

by alivecontext in alivecontext/alive

System maintenance -- stale tasks, orphan folders, unsaved sessions, world health check

MITAuto-check passedProductivity & Automation

Install Alive Cleanup

skills CLI
$ npx skills add alivecontext/alive --skill alive-cleanup -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install alivecontext/alive alive-cleanup --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/alivecontext/alive.git skills-src && mkdir -p .claude/skills && cp -r skills-src/hermes/hermes-skills/alive-cleanup .claude/skills/alive-cleanup && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
alive-cleanup
GitHub stars
130
Token cost
~591 tokens
SKILL.md length
123 words
Files
1
Skills in repo
19
Repo updated
First seen
Licence
MIT

At a glance

System maintenance -- stale tasks, orphan folders, unsaved sessions, world health check

  • Works in 5 steps: Unsaved Sessions → Stale Bundles → Stale Walnuts → …
  • Productivity & Automation work in your project
  • SKILL.md covers Checks and One at a Time
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Alive Cleanup is an agent skill from alivecontext/alive. System maintenance -- stale tasks, orphan folders, unsaved sessions, world health check

Its SKILL.md is about 590 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Productivity & Automation. The repository describes itself as: Personal Context Manager for Claude Code. Your life in walnuts. The licence is MIT.

When your agent uses it

  • Productivity & Automation work in your project

Example prompts

  • “/alive-cleanup”

Requirements

  • Python 3

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Unsaved Sessions
  2. Stale Bundles
  3. Stale Walnuts
  4. Empty Tasks
  5. Legacy Structure Detection

What it can do on your machine

Read from SKILL.md and the folder at commit fc74320. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are bash).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Alive Cleanup loads about 591 tokens when it runs. Until then it costs about 25 tokens; SKILL.md has 123 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~25
When it runs · the whole SKILL.md, loaded when a task matches
~591

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from alivecontext/alive at commit fc74320, republished under its MIT licence (© alivecontext). 123 words, ~591 tokens.

Download SKILL.mdSave it as .claude/skills/alive-cleanup/SKILL.md (or your agent's skills folder).
name
alive-cleanup
description
System maintenance -- stale tasks, orphan folders, unsaved sessions, world health check
version
1.0.0
author
ALIVE Context System
license
MIT
toolsets
terminal, file
triggers
cleanup, system cleanup, tidy up, maintenance, health check

System Cleanup

Scan across all walnuts for entropy. Surface issues one at a time.

Checks

1. Unsaved Sessions
bash
grep -l "saves: 0" "$ALIVE_WORLD_ROOT/.alive/_squirrels/"*.yaml 2>/dev/null

For each: check transcript file size before dismissing. saves: 0 + stash: [] does NOT mean empty -- the stash is only written at save.

[N] unsaved sessions found.
  [id] -- [date] -- [walnut] -- transcript: [size]

Review transcripts for lost work?
  1. Yes, check them all
  2. Show me the list first
  3. Clear and move on
2. Stale Bundles

Find bundles in draft status unchanged for 30+ days:

bash
find "$ALIVE_WORLD_ROOT" -name "context.manifest.yaml" -mtime +30 2>/dev/null

For each stale bundle:

"[bundle-name]" has been in draft for [N] days.
  1. Advance it (prototype/published)
  2. Archive it (set status: done)
  3. Kill it (delete -- drafts are disposable)
  4. Leave it
3. Stale Walnuts

Walnuts past 2x their rhythm with no recent sessions:

[walnut] -- waiting -- [N] days past weekly rhythm
  1. Load it (check what's there)
  2. Archive it (move to 01_Archive)
  3. Update rhythm (maybe it's monthly now)
  4. Leave it
4. Empty Tasks

Walnuts with stale or empty task files:

bash
find "$ALIVE_WORLD_ROOT" -name "tasks.json" -exec python3 -c "
import json, sys
data = json.load(open(sys.argv[1]))
tasks = data.get('tasks', [])
active = [t for t in tasks if t.get('status') not in ('done', 'archived')]
if active:
    print(f'{sys.argv[1]}: {len(active)} open tasks')
" {} \;
5. Legacy Structure Detection

Look for v1/v2 patterns that should be migrated:

  • _core/ directories (v1)
  • _kernel/_generated/ directories (v2)
  • now.md files (v1)
  • tasks.md files (v1)
Found [N] walnuts with legacy structure.
  1. Migrate now
  2. Show me which ones
  3. Skip

One at a Time

Surface issues one at a time. Don't overwhelm. Fix one, then ask if they want to continue.

© alivecontext, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in hermes/hermes-skills/alive-cleanup of alivecontext/alive.

Open the folder on GitHubat commit fc74320

Compare with similar skills

Alive Cleanup next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Alive Cleanup compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Alive Cleanup this skillalivecontext/alive130—~591Automated safety check: PassMIT
Agent Browserquran/quran.com-frontend-next1.9k40 repos~3.3kAutomated safety check: PassNone
Perform Tasktelegramdesktop/tdesktop33k2 repos~3kAutomated safety check: PassGPL-3.0
Dependency Watchtelegramdesktop/tdesktop33k—~2.2kAutomated safety check: PassGPL-3.0
Brave Searchbadlogic/pi-skills2.6k5 repos~592Automated safety check: PassMIT
Garden Inboxpaperclipai/paperclip99k—~1.1kAutomated safety check: PassMIT

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More from alivecontext/alive

All 19 skills in this repo

  • Alive Save

    alivecontext/alive

    Checkpoint -- route stash items, write log entry, update bundle, trigger projection, reset stash

    130 GitHub stars~747 tokensUpdated 7 days ago
    Auto-check passed

  • Alive Bundle

    alivecontext/alive

    Create, manage, and graduate bundles -- the unit of focused work within a walnut

    130 GitHub stars~510 tokensUpdated 7 days ago
    Auto-check passed

  • Alive Create

    alivecontext/alive

    Scaffold a new walnut -- venture, experiment, person, life area, project

    130 GitHub stars~519 tokensUpdated 7 days ago
    Auto-check passed

  • Alive Daily

    alivecontext/alive

    Morning operating system -- sync inputs, read everything, surface priorities, show the day

    130 GitHub stars~473 tokensUpdated 7 days ago
    Auto-check passed

  • Alive History

    alivecontext/alive

    Search past sessions -- what happened, when, and why. An agent skill from alivecontext/alive.

    130 GitHub stars~492 tokensUpdated 7 days ago
    Auto-check passed

  • Alive Load

    alivecontext/alive

    Load an ALIVE walnut -- read kernel files, show current state, surface one observation, ask what to work on

    130 GitHub stars~509 tokensUpdated 7 days ago
    Auto-check passed

Categories

Questions about Alive Cleanup

What does Alive Cleanup do?

System maintenance -- stale tasks, orphan folders, unsaved sessions, world health check. Alive Cleanup is an agent skill from alivecontext/alive.

When should I use Alive Cleanup?

Alive Cleanup fits situations like: productivity & Automation work in your project.

How do I install Alive Cleanup in Claude Code?

Run `npx skills add alivecontext/alive --skill alive-cleanup -a claude-code`. Or copy the skill folder (hermes/hermes-skills/alive-cleanup in alivecontext/alive) into .claude/skills/alive-cleanup in your project. Claude Code loads it when a task matches its description.

How do I install Alive Cleanup in Codex?

Run `npx skills add alivecontext/alive --skill alive-cleanup -a codex`. Or copy the skill folder (hermes/hermes-skills/alive-cleanup in alivecontext/alive) into .agents/skills/alive-cleanup in your project. Codex loads it when a task matches its description.

Can I use Alive Cleanup in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add alivecontext/alive --skill alive-cleanup -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/alive-cleanup, .gemini/skills/alive-cleanup, .github/skills/alive-cleanup and .opencode/skills/alive-cleanup in your project.

What does Alive Cleanup need to run?

SKILL.md names no scripts, command-line tools or credentials: Alive Cleanup is instructions for the agent only. Our summary lists: Python 3.

Does Alive Cleanup access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Alive Cleanup safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Alive Cleanup use?

Alive Cleanup is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Alive Cleanup use?

About 591 tokens (SKILL.md is roughly 2.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Alive Cleanup?

Skills that share tags, products or a category with Alive Cleanup: Agent Browser (quran/quran.com-frontend-next, 1.9k stars), Perform Task (telegramdesktop/tdesktop, 33k stars), Dependency Watch (telegramdesktop/tdesktop, 33k stars) and Brave Search (badlogic/pi-skills, 2.6k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Alive Cleanup?

alivecontext (a GitHub organization) maintains it in alivecontext/alive, which has 130 GitHub stars. The repository holds 19 skills in this directory. The repository was last updated on October 2, 2026.

Source: alivecontext/alive on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.