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/smart-ai-memory/attune-ai/handoffgit clone --depth 1 https://github.com/Smart-AI-Memory/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.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 | $0.00014 | $0.00164 |
| Opus 5 | $0.00007 | $0.00082 |
| Sonnet 5 | $0.00003 | $0.00033 |
| Haiku 4.5 | $0.00001 | $0.00016 |
Grade A, and why
handoff scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured yesterday.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
What it actually says
You are generating a resume prompt the user will copy into a new Claude Code session to pick up where this one left off.
Run the helper to produce the resume prompt:
python3 "${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.
- yesterday 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 yesterday), licensed Apache-2.0. It adds 14 tokens to every session and 164 once invoked, about $0.0001 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 2026-09-03.
Other commands, from other repositories
ship-and-babysit
Commit, push to origin (fork), open PR to tinyhumansai/openhuman:main, then poll every 5min for CodeRabbit comments and CI failures, resolve them, and exit when clean.
agentos-status
Show AgentOS system status — agents, workers, health.
council-sweep
Walk the configured watch paths and run Council on every artifact modified in the last N hours (default 24h).
orchestrate
Orchestrate a complex multi-step task using the multi-agent system.
pm-agent-retire
Mark a great-pm agent as deprecated. Adds a deprecation banner to the agent file, files a Beads issue to remove dependent commands/workflows, and logs the rationale. NEVER deletes the file (history preserved).
pm-audit
Run the great-pm PM-health audit on a product, an initiative, or great-pm itself. 15 dimensions, severity-rated findings, Top-5 + Quick-Wins + Things-Look-Bad-But-Fine + Open Questions. Files findings as Beads tasks unless --read-only.