Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add YoungjaeDev/my-claude-plugins/plugin install wikiWrote 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/youngjaedev/my-claude-plugins/cleanup)<a href="https://agentmods.dev/skills/youngjaedev/my-claude-plugins/cleanup"><img src="https://agentmods.dev/badge/skills/youngjaedev/my-claude-plugins/cleanup.svg" alt="Measured on agentmods" 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 | $0.00105 | $0.00681 |
| Opus 5 | $0.00053 | $0.00341 |
| Sonnet 5 | $0.00021 | $0.00136 |
| Haiku 4.5 | $0.00011 | $0.00068 |
Grade A, and why
cleanup scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 2d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 50 lines — stays where its author put it; the contents beside it link to each section on GitHub.
cleanup
Codex note
Script is plain python3 on all runtimes. The confirmation gate uses
AskUserQuestion on Claude; on Codex ask in plain text and wait.
Codex 0.135 does NOT export CLAUDE_PLUGIN_ROOT:
always resolve PLUGIN_ROOT first (block below).
Steps
-
Resolve the plugin root (cross-runtime):
PLUGIN_ROOT="${CLAUDE_PLUGIN_ROOT:-}" [ -z "$PLUGIN_ROOT" ] && [ -d plugins/wiki/scripts ] && PLUGIN_ROOT=plugins/wiki if [ -z "$PLUGIN_ROOT" ]; then cache_root="${CODEX_PLUGIN_CACHE:-$HOME/.codex/plugins/cache}" PLUGIN_ROOT=$(ls -1d "$cache_root"/*/wiki/* 2>/dev/null | sort | tail -1) fi [ -d "$PLUGIN_ROOT/scripts" ] || { echo "wiki scripts not found"; exit 1; }Scope: no args = current project (script mirrors upstream chain:
MEM0_PROJECT_IDenv ->~/.mem0/project_map.json-> git slug -> basename). The script REFUSES basename-fallback scope; pass--appexplicitly then.--typeadditionally requires a user scope (--userorMEM0_USER_ID); only--alltargets every entity scope (user/agent/run) in the app. -
Dry-run first, always:
python3 "$PLUGIN_ROOT/scripts/cleanup.py" [--app X] --type session_summary(or--allfor a junk app teardown flagged by fleet-scan). -
Show the dry-run count + samples to the user, then gate with AskUserQuestion (one question per app: delete N of M? yes/no).
-
Only after explicit yes: re-run with
--execute. Report ok/failed counts and the backup path. -
Verify: run
python3 "$PLUGIN_ROOT/scripts/audit.py" --app Xand confirm the deleted type count is now 0. -
Restore procedure (if the user regrets): read the backup JSON at
~/.mem0/backups/<app>-<timestamp>.json: it holds{app, target_ids, rows}whererowsis the WHOLE app at backup time andtarget_idslists what was actually deleted. Re-add ONLY the rows whose id is intarget_idsvia mem0add_memorywithinfer=False, same app_id/user_id/metadata; re-adding all rows would duplicate the untouched ones.
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.
- 2d ago First seen · 50 lines · 105 tokens per session scan A 8fe18446634b
cleanup is a skill published in the GitHub repository YoungjaeDev/my-claude-plugins (2 stars, last pushed 3d ago), licensed MIT. It adds 105 tokens to every session and 681 once invoked, about $0.0005 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 2026-09-05.
Other skills, from other repositories
media-ingest
Ingest video, audio, PDF, book, screenshot, and GitHub repo content into the brain. Multi-format handling with entity extraction and backlink propagation. Covers video-ingest, youtube-ingest, and book-ingest subtypes.
mem0-oss-to-platform
Plan and then execute a migration of a project from the mem0 open-source / self-hosted SDK (the local Memory class) to the mem0 Platform / hosted / managed SDK (the MemoryClient class). Use this whenever a developer wants to move, switch, or migrate their mem0 usage off OSS/self-hosted to the hosted API — e.g.…
Cortex
Operate Cortex, the LifeOS memory system — the typed Knowledge Archive (People, Companies, Ideas, Research with typed related: links) plus recall of prior work sessions, ISAs, and conversations. Search, add, harvest, develop, ingest, distill, graph-navigate, recall. USE WHEN cortex, knowledge, knowledge base, search…
memory
Use when the user asks to remember, recall, forget, update, search, or inspect durable OpenSquilla memory, including profile facts in USER.md and long-term notes in MEMORY.md or memory//.md.
ha-data-stores
Map of Hope Agent's local data stores and safe read-only query workflow. Use when the user asks where Hope Agent stores data, wants to inspect sessions/messages/memory/logs/background jobs/knowledge indexes/settings, asks the model to query local app data, or debugging requires checking persisted state. Trigger…
establishing-project-context
Use when the user asks to establish shared project language, or project work exposes a conflicting, renamed, or deprecated domain term that needs active semantic modeling. Routine small tasks stay on the fast path.