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 agentmods add commands/hamr0/liteagents/stashgit clone --depth 1 https://github.com/hamr0/liteagentsWhat 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 | $0.00009 | $0.00675 |
| Opus 5 | $0.00005 | $0.00338 |
| Sonnet 5 | $0.00002 | $0.00135 |
| Haiku 4.5 | $0.00001 | $0.00068 |
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 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.
What it actually says
Save session context for compaction recovery or handoffs.
Guardrails
- Favor straightforward, minimal implementations first and add complexity only when requested or clearly required.
- Keep changes tightly scoped to the requested outcome.
- Mid-tier model, not hardcoded. The write-up subagent (step 2) uses a mid-tier model — capable of semantic judgment, cheaper/faster than your top reasoning tier (e.g. Claude's Sonnet vs Opus). Use whatever your tool designates as that balanced default; never hardcode a vendor-specific model name.
- 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
.amp/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:
unprocessed = (files in .amp/stash/*.md) − (entries in .amp/remember/.processed)(a missing.processedmanifest means 0 processed). Ifunprocessed >= 5, end with one line:📝 N stashes since last consolidation — 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 .amp/stash/
# Restore from stash
cat .amp/stash/<name>.md
Reference
- Stashes stored in
.amp/stash/(project-local) - Automatically includes: timestamp, active plan, recent decisions
- Maximum context retention with minimal token usage
- When dispatched in the background, the "Stashed to X" confirmation and consolidation nudge arrive as the subagent's completion notification rather than inline in the same turn
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 · 66 lines · 9 tokens per session scan A c582e8d02f1c
stash is a command published in the GitHub repository hamr0/liteagents (22 stars, last pushed 3d ago), licensed Apache-2.0. It adds 9 tokens to every session and 675 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 2026-08-30.
Other commands, from other repositories
install
Install a skill from a local path, GitHub repository, npm package, or registry slug.
search
Search for skills on GitHub, skills.sh (experimental), or the rolecraft Registry.
agents-xml
Generate a XML block listing installed skills, compatible with Claude Code and other spec-compliant AI agents.
use
Preview a skill's files without installing.
plan-infra
Confirm requirements with the user first, then design cloud infrastructure and write a reproducible spec + diagram into the repo.
takeoff
항공기 이륙 4단계 — develop 리베이스 → push → PR 생성 (원격 영향).