Ontology
1mancompany/OneManCompany
Typed knowledge graph for structured agent memory and composable skills.
Find duplicates, dead links and untagged items in a saved library and propose what to do about each.
Install Cleanup
$ npx skills add Fergana-Labs/stash --skill cleanup -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install Fergana-Labs/stash cleanup --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/Fergana-Labs/stash.git skills-src && mkdir -p .claude/skills && cp -r skills-src/docs/skills/cleanup .claude/skills/cleanup && rm -rf skills-srcUse ~/.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/
Install the "cleanup" agent skill from https://github.com/Fergana-Labs/stash/tree/main/docs/skills/cleanup into .claude/skills/cleanup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cleanup", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/Fergana-Labs/stash/tree/main/docs/skills/cleanupType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add Fergana-Labs/stash --skill cleanup -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install Fergana-Labs/stash cleanup --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Fergana-Labs/stash.git skills-src && mkdir -p .agents/skills && cp -r skills-src/docs/skills/cleanup .agents/skills/cleanup && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "cleanup" agent skill from https://github.com/Fergana-Labs/stash/tree/main/docs/skills/cleanup into .agents/skills/cleanup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cleanup", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Fergana-Labs/stash --skill cleanup -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install Fergana-Labs/stash cleanup --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Fergana-Labs/stash.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/docs/skills/cleanup .cursor/skills/cleanup && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "cleanup" agent skill from https://github.com/Fergana-Labs/stash/tree/main/docs/skills/cleanup into .cursor/skills/cleanup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cleanup", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/Fergana-Labs/stash.git --path docs/skills/cleanup--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add Fergana-Labs/stash --skill cleanup -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install Fergana-Labs/stash cleanup --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Fergana-Labs/stash.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/docs/skills/cleanup .gemini/skills/cleanup && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "cleanup" agent skill from https://github.com/Fergana-Labs/stash/tree/main/docs/skills/cleanup into .gemini/skills/cleanup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cleanup", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install Fergana-Labs/stash cleanupInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add Fergana-Labs/stash --skill cleanup -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/Fergana-Labs/stash.git skills-src && mkdir -p .github/skills && cp -r skills-src/docs/skills/cleanup .github/skills/cleanup && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "cleanup" agent skill from https://github.com/Fergana-Labs/stash/tree/main/docs/skills/cleanup into .github/skills/cleanup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cleanup", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add Fergana-Labs/stash --skill cleanup -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install Fergana-Labs/stash cleanup --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/Fergana-Labs/stash.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/docs/skills/cleanup .opencode/skills/cleanup && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "cleanup" agent skill from https://github.com/Fergana-Labs/stash/tree/main/docs/skills/cleanup into .opencode/skills/cleanup/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cleanup", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
cleanup- GitHub stars
- 335
- Token cost
- ~602 tokens
- SKILL.md length
- 359 words
- Files
- 1
- Skills in repo
- 5
- Repo updated
- First seen
- Licence
- MIT
At a glance
Find duplicates, dead links and untagged items in a saved library and propose what to do about each.
- Knowledge Management work in your project
- SKILL.md covers The three piles, Write it and Rules
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Cleanup is an agent skill from Fergana-Labs/stash. Find duplicates, dead links and untagged items in a saved library and propose what to do about each.
Its SKILL.md is about 600 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 Knowledge Management. The repository describes itself as: Open-source infrastructure for agents that learn from experience. Capture production traces and turn lessons into reusable knowledge and skills. The licence is MIT.
When your agent uses it
- Knowledge Management work in your project
Example prompts
- “/cleanup”
What it can do on your machine
Read from SKILL.md and the folder at commit 6c88d16. 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.
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
Cleanup loads about 602 tokens when it runs. Until then it costs about 27 tokens; SKILL.md has 359 words of instructions outside code blocks.
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 Fergana-Labs/stash at commit 6c88d16, republished under its MIT licence (© Fergana-Labs). 359 words, ~602 tokens.
Download SKILL.mdSave it as
.claude/skills/cleanup/SKILL.md (or your agent's skills folder).- name
- cleanup
- description
- Find duplicates, dead links and untagged items in a saved library and propose what to do about each.
- when_to_use
- When the user asks to tidy up their bookmarks, clean their library, deal with duplicates or broken links, or asks what needs attention.
- version
- 1
Cleaning up a saved library
Propose, never dispose. You do not delete, merge, retag or archive anything in this skill. You produce a list the user can act on, and you act only on items they name afterwards. An agent that quietly tidies someone's library is an agent they stop trusting.
The three piles
The Bookmarks app computes these; read them rather than deriving them.
Duplicates — the same page saved more than once, matched on a normalized
URL (protocol, www., trailing slash and tracking params ignored). The
oldest save is treated as the original.
For each group, recommend which to keep, and say why: prefer the one whose saved copy actually captured content over a link-only save, then the one with topics already on it, then the oldest. Note when the "duplicates" are not really duplicates — a URL that serves different content over time, for instance — and leave those alone.
Broken — a link the checker got a 404 or 410 from. Note it only trusts those two codes, so a broken item is genuinely gone rather than merely unreachable. For each, check whether the saved copy still has the content: if it does, the recommendation is "keep, the archive is the point now"; if it is link-only, there is nothing left and it can go.
Untagged — no topics. Usually means enrichment failed or the page had
nothing to read. Propose topics from the existing vocabulary — read it off
the Topics column's options — rather than inventing new ones; a cleanup
pass that adds twelve new near-synonyms has made things worse.
Show full SKILL.md (100 more words)Show less
Write it
Group by pile. Each item: what it is, the recommendation, one clause of why, and a link. Lead with a one-line count of each pile so the user can decide where to spend their attention.
End with the single sentence they need: "Say which of these to action and I'll do it." Then stop.
Rules
- No action without an explicit instruction naming what to act on.
- If a pile is empty, say so in one line rather than omitting it — knowing there are no broken links is worth something.
- Never recommend deleting the last remaining copy of anything.
© Fergana-Labs, 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 docs/skills/cleanup of Fergana-Labs/stash.
Open the folder on GitHubat commit 6c88d16
Compare with similar skills
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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Cleanup this skillFergana-Labs/stash | 335 | — | ~602 | Automated safety check: Pass | MIT | |
| Ontology1mancompany/OneManCompany | 441 | 2 repos | ~1.5k | Automated safety check: Pass | Apache-2.0 | |
| Open Knowledge Write Skillinkeep/open-knowledge | 4.4k | — | ~3.7k | Automated safety check: Pass | GPL-3.0 | |
| Auditpricklywiggles/niamos | 192 | — | ~1.4k | Automated safety check: Pass | None | |
| Joplinalondmnt/joplin-mcp | 173 | — | ~897 | Automated safety check: Pass | MIT | |
| Guideline Writingalfadur7/llm-wiki-newsroom | 172 | — | ~2.4k | Automated safety check: Pass | MIT |
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Related
Categories
Questions about Cleanup
What does Cleanup do?
Find duplicates, dead links and untagged items in a saved library and propose what to do about each. Cleanup is an agent skill from Fergana-Labs/stash. Find duplicates, dead links and untagged items in a saved library and propose what to do about each.
When should I use Cleanup?
Cleanup fits situations like: knowledge Management work in your project.
How do I install Cleanup in Claude Code?
Run `npx skills add Fergana-Labs/stash --skill cleanup -a claude-code`. Or copy the skill folder (docs/skills/cleanup in Fergana-Labs/stash) into .claude/skills/cleanup in your project. Claude Code loads it when a task matches its description.
How do I install Cleanup in Codex?
Run `npx skills add Fergana-Labs/stash --skill cleanup -a codex`. Or copy the skill folder (docs/skills/cleanup in Fergana-Labs/stash) into .agents/skills/cleanup in your project. Codex loads it when a task matches its description.
Can I use 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 Fergana-Labs/stash --skill 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/cleanup, .gemini/skills/cleanup, .github/skills/cleanup and .opencode/skills/cleanup in your project.
What does Cleanup need to run?
SKILL.md names no scripts, command-line tools or credentials: Cleanup is instructions for the agent only.
Does 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 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 Cleanup use?
Cleanup is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Cleanup use?
About 602 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 Cleanup?
Skills that share tags, products or a category with Cleanup: Ontology (1mancompany/OneManCompany, 441 stars), Open Knowledge Write Skill (inkeep/open-knowledge, 4.4k stars), Audit (pricklywiggles/niamos, 192 stars) and Joplin (alondmnt/joplin-mcp, 173 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Cleanup?
Fergana-Labs (a GitHub organization) maintains it in Fergana-Labs/stash, which has 335 GitHub stars. The repository holds 5 skills in this directory. The repository was last updated on October 9, 2026.
Source: Fergana-Labs/stash on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.