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/hamr0/liteagentsWrote 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/hamr0/liteagents/stash)<a href="https://agentmods.dev/commands/hamr0/liteagents/stash"><img src="https://agentmods.dev/badge/commands/hamr0/liteagents/stash/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/hamr0/liteagents/stash"><img src="https://agentmods.dev/badge/commands/hamr0/liteagents/stash.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 | $0.00007 | $0.01120 |
| Opus 5.5 | $0.00003 | $0.00448 |
| Sonnet 5.5 | $0.00001 | $0.00224 |
| Haiku 4.5 | $0.00001 | $0.00112 |
Grade A, and why
stash 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 26d 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 — 89 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Save session context for compaction recovery or handoffs.
Guardrails
- Write only what the brief contains. The subagent expands the brief into a file; it does not research, re-derive, or infer. Every fact, number, SHA, path, and identifier in the stash comes from the brief verbatim — never invent, never round, never fill a gap with a plausible guess. Missing detail stays missing.
- Escalate, never assume. Anything the subagent cannot do, cannot verify, or that this spec does not cover → report it back to the orchestrator (the main session) rather than improvising. Never widen scope beyond writing the file and counting the backlog.
- Explicitly select your tool's mid tier. State the tier on the spawn — do not omit it and rely on a default. An omitted tier inherits the parent's tier, which is not the same thing as the balanced one. Pick the judgment-capable tier that is cheaper and faster than your top reasoning tier. Not the cheapest/fastest tier: on judgment work it measurably degrades (misclassification rates several times higher). Choose by tier, not by a vendor model name copied from this file — names drift, and this command ships to several tools.
- Background dispatch where supported. Run the write-up subagent in the background (non-blocking) so the session isn't held up waiting on formatting/file I/O. Fall back to writing inline (today's behavior) if your tool has no subagent or background-dispatch mechanism.
What it does
-
Drafts a compact brief of current conversation context, key decisions, active work in progress, and findings/insights — done inline, since only the running session holds full conversation context
-
Hands the brief to a subagent on the mid-tier model (see Guardrails) to expand into the full stash file at
.factory/stash/<name>.md, dispatched in the background where the tool supports it. Falls back to writing inline if subagent/background dispatch isn't available -
Enables context restoration after compaction
-
Consolidation nudge — whichever actor wrote the file (the subagent, or the session itself on the inline fallback) counts the unprocessed backlog after saving.
$ROOTis the absolute repo root — the same one the stash file was just written under. Resolve it withgit rev-parse --show-toplevel. Run these two lines verbatim. Do not substitute a cwd-relative path (the write-up subagent's cwd is not guaranteed to be the repo root) and do not discover the manifest with a*glob over the remember dir (.processedis a dotfile, and globs skip dotfiles):find "$ROOT/.factory/stash/" -maxdepth 1 -name '*.md' ! -name '.*' 2>/dev/null | wc -l # total if [ -f "$ROOT/.factory/remember/.processed" ]; then grep -c '' "$ROOT/.factory/remember/.processed"; else echo 0; fi # processedunprocessed = total − processed. Usegrep -c '', notwc -l: a manifest whose last entry has no trailing newline undercounts by one underwc -l.If
$ROOTcannot be resolved, report the backlog as UNKNOWN and name the path that failed — never substitute 0. Substituting 0 maximizes the apparent backlog and fires the nudge on every stash. A resolvable$ROOTwith no.processedfile is a genuine 0.If
unprocessed >= 5, end with one line, carrying the raw numbers so a miscount is visible without re-deriving it:📝 N unprocessed stashes (T total − P consolidated) — run
/rememberto fold them into memory.No counter is stored — the count is derived each time, and running
/rememberupdates.processed, so the backlog drops on its own. Just emit the nudge; never run/rememberautomatically.
When to use
- Before long-running tasks that may trigger compaction
- When handing off work to another agent or session
- After completing major investigation or analysis
- Before taking a break from complex multi-step work
Commands
# Stash with auto-generated name
/stash
# Stash with custom name
/stash "feature-auth-investigation"
# List available stashes
ls .factory/stash/
# Restore from stash
cat .factory/stash/<name>.md
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.
- 26d ago Changed 372a642af453
- 28d ago Changed · +18 lines 83b859e22c79
- 1mo ago Changed · -2 lines · -2 tokens per session 4e82aa450789
- 1mo ago Changed · +7 lines 012d4f910c08
- 1mo ago First seen · 66 lines · 9 tokens per session scan A c582e8d02f1c
stash is a command published in the GitHub repository hamr0/liteagents (26 stars, last pushed 5d ago), licensed Apache-2.0. It adds 7 tokens to every session and 1,120 once invoked, about $0.0000 per session on Opus 5.5. 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 2026-08-30.
Other commands, from other repositories
kg-query
Query KG (supports: active, recent, search , decisions , plan ).
kg-setup
Configure Knowledge Graph path and create config file.
speckit.archive
Archive a feature specification into main project memory after merge, resolving gaps and conflicts.
memory-forget
Command "memory-forget" from waittim/MemoryCustodian, covering memory-forget and review the preview, then apply its plan id.
rclone_listremotes
List all the remotes in the config file and defined in environment variables.
rclone_config_password
Update password in an existing remote.