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 skills add dgilford/ai-science-toolkit --skill handoffgit clone --depth 1 https://github.com/dgilford/ai-science-toolkitWrote 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/skills/dgilford/ai-science-toolkit/handoff)<a href="https://agentmods.dev/skills/dgilford/ai-science-toolkit/handoff"><img src="https://agentmods.dev/badge/skills/dgilford/ai-science-toolkit/handoff.svg" alt="Measured on agentmods" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00050 | $0.00950 |
| Opus 5 | $0.00025 | $0.00475 |
| Sonnet 5 | $0.00010 | $0.00190 |
| Haiku 4.5 | $0.00005 | $0.00095 |
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 8d 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.
Create or update .ai/HANDOFF.md so the next agent can resume without rereading this conversation.
Current repo state
git status --short 2>/dev/null || echo "(not a git repo)"
git log --oneline -12 2>/dev/null || echo "(no git log)"
git diff --stat HEAD 2>/dev/null | head -30 || echo "(no diff)"
claude --version 2>/dev/null || echo "(claude --version unavailable)"
Before writing
Read these if they exist: .ai/HANDOFF.md, CLAUDE.md, AGENTS.md. Scan recently modified files for TODO/FIXME markers. Do not invent results for commands that were not run.
Do not duplicate content already captured in durable artifacts (specs, plans, ADRs, issues, commits, diffs, CLAUDE.md). Reference them by path or URL and summarize only what the next agent needs to act. This includes review reports archived under .ai/reviews/ — point at them by path (e.g. in Next actions or Pitfalls) rather than restating findings. Redact anything sensitive — API keys, tokens, passwords, PII — even though .ai/ is gitignored.
Write .ai/HANDOFF.md
Create .ai/ if missing. Append .ai/ to .gitignore if not already present.
Use only the sections that have real content. Skip empty ones.
Objective
Next actions
State
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.
- 8d ago First seen · 89 lines · 50 tokens per session scan A beff3b10a8b1
handoff is a skill published in the GitHub repository dgilford/ai-science-toolkit (62 stars, last pushed 19d ago), licensed MIT. It adds 50 tokens to every session and 950 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.
Other skills, from other repositories
archive
Archive session learnings, debugging solutions, and deployment logs to .archive/yyyy-mm-dd/ as indexed markdown with searchable tags. Use when completing a significant task, resolving a tricky bug, deploying, or when the user says "archive this". Maintains .archive/MEMORY.md index for cross-session knowledge reuse.
mnemon
Persistent memory CLI for LLM agents. Store facts, recall past knowledge, link related memories, manage lifecycle.
mnemon
Persistent memory CLI for LLM agents. Store facts, recall past knowledge, link related memories, manage lifecycle.
mnemon
Persistent memory CLI for Hermes Agent. Store facts, recall past knowledge, link related memories, manage lifecycle.
alive:session-history
Revive sessions (quick or heavy), browse, and search — 'what happened recently?', 'find the session where we discussed X', 'revive yesterday's session'. For single-session recall and multi-session browsing. If the human needs to merge multiple sessions into one working context or detect conflicts between parallel…
alive:mine-for-context
Deep context extraction from source material. Creates reference bundles, builds extraction plans, tracks what's been extracted, and discovers new targets — people, subjects, patterns, connections. The archaeologist that turns raw sources into structured knowledge. Can be invoked by alive:session-history for targeted…