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 skills/rohitg00/agentmemory/handoffnpx skills add rohitg00/agentmemory --skill handoffgit clone --depth 1 https://github.com/rohitg00/agentmemoryWhat 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 | $0.00055 | $0.00612 |
| Opus 5 | $0.00028 | $0.00306 |
| Sonnet 5 | $0.00011 | $0.00122 |
| Haiku 4.5 | $0.00006 | $0.00061 |
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 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.
How it starts
The opening of the file, as written. The whole thing — 69 lines — stays where its author put it; the contents beside it link to each section on GitHub.
The user wants to resume work. Optional cwd override: $ARGUMENTS
Quick start
memory_sessions { "limit": 20 }
Pick the most recent session whose cwd matches this project, then:
memory_recall { "query": "<session top concepts>", "limit": 10 }.
Expected output:
Resuming 7f3a9c2 "Auth refresh rework".
Open question: should logout revoke all device tokens or just the current one?
Next step: decide revoke scope, then update auth/logout.ts.
Why
Match the session by directory boundary, not raw prefix, so a sibling repo never gets mistaken for this one. Never invent observations for an empty session.
Workflow
- Resolve the project path: if
$ARGUMENTSis given, normalize it to absolute (path.resolve(process.cwd(), $ARGUMENTS)); else use the cwd. - Call
memory_sessions. Pick the most recent session whose normalizedcwdmatches by directory boundary: equality, ORcwd.startsWith(projectPath + sep), ORprojectPath.startsWith(cwd + sep). Prefercompletedoverabandoned. No match: fall back to the single most recent session overall. - If the session ended on an unanswered user-facing question, surface it FIRST.
Look in
summaryor recentconversationobservations whosenarrativeends in?. - Summarize: title/summary, key files, key decisions or errors, using
memory_recallon the top concepts, limit 10. - End with one concrete "next step?" pointer.
Anti-patterns
WRONG: session.cwd.startsWith(projectPath) matches /repo-a-staging when the
project is /repo-a, resuming the wrong repo's session.
RIGHT: session.cwd === projectPath || session.cwd.startsWith(projectPath + sep),
a directory-boundary check that cannot cross sibling repos.
Checklist
- cwd override resolved to an absolute, normalized path.
- Match used a directory-boundary check, not a raw prefix.
- Unanswered question (if any) leads the response.
- Empty session is reported plainly, with an offer to start fresh.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
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 · 69 lines · 55 tokens per session scan A 1a5695744091
handoff is a skill published in the GitHub repository rohitg00/agentmemory (27,906 stars, last pushed 2d ago), licensed Apache-2.0. It adds 55 tokens to every session and 612 once invoked, about $0.0003 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.
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