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 Smart-AI-Memory/attune-ai/plugin install attune-aiWrote 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/smart-ai-memory/attune-ai/handoff)<a href="https://agentmods.dev/commands/smart-ai-memory/attune-ai/handoff"><img src="https://agentmods.dev/badge/commands/smart-ai-memory/attune-ai/handoff/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/smart-ai-memory/attune-ai/handoff"><img src="https://agentmods.dev/badge/commands/smart-ai-memory/attune-ai/handoff.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 | $0.00014 | $0.00164 |
| Opus 5.5 | $0.00006 | $0.00066 |
| Sonnet 5.5 | $0.00003 | $0.00033 |
| Haiku 4.5 | $0.00001 | $0.00016 |
Grade A, and why
handoff scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
You are generating a resume prompt the user will copy into a new Claude Code session to pick up where this one left off.
Run the helper to produce the resume prompt:
python3 "${CLAUDE_PLUGIN_ROOT}/hooks/_handoff_cli.py"
Print the helper's stdout verbatim as your reply. Do not add commentary, headers, or framing — the user wants ONLY the markdown blockquote so they can paste it directly.
The helper also appends the prompt to
~/.attune/last-handoff.md (timestamped, append-only) so the
user can recover earlier handoffs.
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 · 22 lines · 14 tokens per session scan A 728c1903b49c
handoff is a command published in the GitHub repository Smart-AI-Memory/attune-ai (10 stars, last pushed today), licensed Apache-2.0. It adds 14 tokens to every session and 164 once invoked, about $0.0001 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 2026-09-03.
Other commands, from other repositories
pm-learn
Auto-extract repeatable patterns, decisions, and cost outliers from the current session and append to .great-pm/lessons.md. Promotes ≥3-occurrence patterns to /.great-pm/decisions.md. Runs continuous-learner.
pm-save
Extract lessons from this session and save them to .great-pm/lessons.md. Optional cross-project promotion to /.great-pm/decisions.md for patterns seen 3+ times (proposed, never auto-promoted).
pm-resume
Pick up where you left off. Reads .great-pm/HANDOFF.md (auto-saved by the PreCompact hook) and orients you with the next concrete step.
perf-difficult-conversation
Three-conversations framework rehearsal (Stone/Patton/Heen — Harvard Negotiation Project) for high-stakes conversations — termination, demotion, hard feedback, conflict surfacing. Produces three-conversations breakdown (what-happened / feelings / identity), conversation script with multiple opening choices, SCARF…
reclaim-knowledge
Organize scattered professional material into a domain-based second-brain architecture. Maps existing sources (Canva, Drive, local folders, Notion, screenshots) to functional domains. Non-technical-friendly — produces folder structure + drag-and-drop instructions, not CLI commands.
orchestrate-brain
Weekly 30-minute second-brain review ritual. Orchestrates inbox clear, lightweight distillation, vault maintenance, cross-reference pass, and next-week capture focus. The compounding rhythm that keeps the system alive.