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.
git clone --depth 1 https://github.com/backchainai/backchain-pluginsWrote 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/commands/backchainai/backchain-plugins/cleanup)<a href="https://agentmods.dev/commands/backchainai/backchain-plugins/cleanup"><img src="https://agentmods.dev/badge/commands/backchainai/backchain-plugins/cleanup/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/commands/backchainai/backchain-plugins/cleanup"><img src="https://agentmods.dev/badge/commands/backchainai/backchain-plugins/cleanup.svg" alt="Reviewed on agentmods" width="80" 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 | $0.00000 | $0.00426 |
| Opus 5.5 | $0.00000 | $0.00170 |
| Sonnet 5.5 | $0.00000 | $0.00085 |
| Haiku 4.5 | $0.00000 | $0.00043 |
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 1mo 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
Command: cleanup
Delete promoted content from the .memory/ directory.
Trigger
/engram:working cleanup or natural language: "clean up working memory", "clear memory".
Behavior
- Verify
.memory/exists in the current directory. - Read and display current contents (item counts per file).
- Check whether promotion has happened (warn if not).
- Request explicit user confirmation.
- Delete file contents (keep the directory and the file headers).
- Confirm.
Pre-cleanup check
Before deleting, show what will be removed:
Current .memory/ contents:
- todos.md: 5 items (2 in-progress, 1 blocked, 2 completed)
- decisions.md: 3 decisions
- questions.md: 2 questions (1 resolved, 1 unresolved)
This action cannot be undone. Delete all contents?
Promotion warning
If unpromoted items exist:
Warning: .memory/ contains items that have not been promoted:
- 2 decisions (no corresponding ADRs)
- 1 unresolved question (no issue created)
Run /engram:working promote first, or confirm deletion to proceed.
Require explicit confirmation to delete unpromoted content.
Cleanup actions
For each file, delete contents but preserve a single header line:
todos.md→ keep# Action Itemsdecisions.md→ keep# Decisionsquestions.md→ keep# Open Questions
Keep the .memory/ directory itself. Its presence signals that this project uses working memory; only the contents get cleared.
Output format
Working memory cleaned up:
- Deleted 5 todos, 3 decisions, 2 questions
- Directory .memory/ preserved for future use
Constraints
- Always require explicit user confirmation.
- Warn about unpromoted content.
- Never delete the
.memory/directory itself. - Keep file headers intact (ready for the next checkpoint).
- Action is irreversible (no archive mode in v1).
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.
- 1mo ago First seen · 69 lines · 0 tokens per session scan A 4b093b393435
cleanup is a command published in the GitHub repository backchainai/backchain-plugins (4 stars, last pushed 2mo ago), licensed Apache-2.0. It costs nothing until one of its globs matches a file; then it loads 426 tokens. 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.
Other commands, from other repositories
evolve-lite-adapt-memory
Mirror a just-saved native memory into the shared evolve store so it becomes shareable and auditable.
memory-graph
Open the memory graph visualization in your browser.
f5-ctx
Context and session management - save, restore, optimize.
remembrall-help
List all Remembrall commands, skills, and config options.
f5-context
This command has been consolidated into /f5-ctx.
budget
View context budget allocation — code vs conversation vs memory breakdown.