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 AxGord/claude-workflow --skill cleanupgit clone --depth 1 https://github.com/AxGord/claude-workflowWrote 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/axgord/claude-workflow/cleanup)<a href="https://agentmods.dev/skills/axgord/claude-workflow/cleanup"><img src="https://agentmods.dev/badge/skills/axgord/claude-workflow/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 | $0.00008 | $0.00456 |
| Opus 5 | $0.00004 | $0.00228 |
| Sonnet 5 | $0.00002 | $0.00091 |
| Haiku 4.5 | $0.00001 | $0.00046 |
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 6d 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
.claude directory cleanup
Run steps in order. Ask user confirmation before each step.
Step 1: Temp data (always safe)
Delete contents of (keep directories themselves):
~/.claude/debug/— session debug logs~/.claude/shell-snapshots/— zsh state snapshots~/.claude/todos/— task lists from past sessions~/.claude/plans/— plan files from past sessions
Show size before/after.
Step 2: Project session logs
For each project in ~/.claude/projects/:
- DELETE:
*.jsonlfiles (conversation logs),UUID/directories (session caches),agent-*.jsonl(subagent logs) - KEEP:
memory/directory,CLAUDE.mdfile
⚠️ This breaks /resume for old sessions. Warn user.
Show size before/after.
Step 3: Empty project directories
After step 2, list projects that have no remaining files (no memory/, no CLAUDE.md). Offer to remove them — they recreate automatically when Claude Code runs in that project.
Step 4: Memory audit
For each remaining memory/MEMORY.md:
- Read its contents
- Check each entry against existing skills — is it already covered?
- Check if Claude already knows this without any skill
- Present table to user:
| Entry | Duplicates? | Verdict |
|---|---|---|
| ... | skill X / common knowledge / project-specific | delete / keep |
Only modify after user approval.
Other cleanable files
Also check and report sizes of:
~/.claude/history.jsonl— conversation history (can be large)~/.claude/file-history/— file change history~/.claude/paste-cache/— clipboard cache~/.claude/tasks/— task data
These are less critical. Mention sizes, let user decide.
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.
- 6d ago First seen · 58 lines · 8 tokens per session scan A 60a14e5d2922
cleanup is a skill published in the GitHub repository AxGord/claude-workflow (5 stars, last pushed 1mo ago), licensed MIT. It adds 8 tokens to every session and 456 once invoked, about $0.0000 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 2026-08-31.
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