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/arimet/handoff/handoffnpx skills add arimet/handoff --skill handoffgit clone --depth 1 https://github.com/arimet/handoffWrote 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/arimet/handoff/handoff)<a href="https://agentmods.dev/skills/arimet/handoff/handoff"><img src="https://agentmods.dev/badge/skills/arimet/handoff/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 | $0.00217 | $0.01721 |
| Opus 5 | $0.00109 | $0.00860 |
| Sonnet 5 | $0.00043 | $0.00344 |
| Haiku 4.5 | $0.00022 | $0.00172 |
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 4d 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 — 155 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Handoff — verify you understood Claude's code
When Claude builds a feature, it is easy to merge the result without truly
reading or understanding it. handoff turns passive review into an active
check: it interviews the developer to confirm they read the code (where the
logic lives) and understood it (why decisions were made, how it behaves),
then reports a score and the spots to revisit.
This skill conducts an interactive quiz. Ask questions one at a time and wait for an answer before continuing. Conduct the entire quiz in the developer's language (match the language they are writing in).
Step 1 — Gather the material (hybrid source)
Build the quiz from two complementary sources:
-
Conversation context — what was built this session: the files touched, the key decisions and trade-offs, what was deliberately NOT done, and what could plausibly break. This is the source for the "why".
-
Git diff (when available) — to objectively anchor "where" and check that nothing important is missed. Run:
git rev-parse --git-dirto confirm a repo exists.git diff --statthengit diff(covers unstaged + staged) to enumerate changed files and lines. Use realfile:linelocations from this diff.
If there is no git repo, degrade gracefully and rely on conversation context alone — still produce a useful quiz.
Step 2 — Calibrate the number of questions
Scale to the size of the change (use the diff stat, or your best estimate from context if there is no git):
| Change size | Questions |
|---|---|
| Small (< ~50 lines, or 1–2 files) | 3 |
| Medium | 5 |
| Large (> ~300 lines, or ≥ 5 files) | 8–10 |
Step 3 — Generate a mixed question set
Cover both reading and understanding. Mix these types:
- Where (multiple choice). "Which file/function contains X?" Provide plausible distractors drawn from other real files in the change.
- Why (open-ended). "Why was approach X chosen over Y?", "What trade-off does this make?", "What would have broken if we hadn't done Z?"
- Behavior (multiple choice or open). "If input X arrives, what happens?", "How would you debug it if X fails?"
What ships with it
3 files 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.
- 4d ago First seen · 155 lines · 217 tokens per session scan A 363e945f75f9
handoff is a skill published in the GitHub repository arimet/handoff (27 stars, last pushed 12d ago), licensed MIT. It adds 217 tokens to every session and 1,721 once invoked, about $0.0011 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
orienting-codebases
Interactive codebase orientation for a HUMAN who wants to learn the code. Runs the same tree-sitting + featuring pipeline as exploring-codebases but synthesizes it into guided exercises and an HTML teaching artifact rather than an analysis document. Use for "orient me to this repo", "teach me this codebase", "walk me…
llm-as-computer
Execute programs on a compiled transformer stack machine where every instruction fetch and memory read is a parabolic attention head. Demonstrates that transformer attention + FF layers can implement a working computer. Use when user mentions "llm-as-computer", "lac", "stack machine", "compiled transformer"…
math-modeling-solver
数学建模竞赛解题全流程指导。覆盖国赛(CUMCM)和美赛(MCM/ICM)全部题型(A-F),提供12种问题本质分析、95+场景模型决策矩阵、5本算法Cookbook、11本完整例题Playbook、22个Python+7个MATLAB可运行代码模板。与math-modeling-paper形成"解题→写作"配对。当用户提及建模思路、选什么模型、怎么建模、赛题求解、粘贴赛题文本、美赛/国赛题目分析、CVaR/NSGA-II/Monte Carlo/时间序列/ANOVA/灰色关联、网络流/图论/生态建模、模型命名/Memo/Letter/Our Work流程图时,使用此skill。.
vibe-check
Turn a complete beginner's app idea into a buildable plan, then keep them oriented while they build. Use it whenever someone who has never coded wants to build or "vibe code" an app, has an idea but no idea where to start, or wants it turned into a plan, MVP scope, tech stack, user flows, or blueprint. It has three…
mathmodel-skill
CUMCM 国赛、MCM/ICM 美赛与电工杯数学建模竞赛的端到端协作工作流。Use when a user explicitly works on one of these modeling contests or asks to run/review a modeling-competition paper from problem selection through modeling, solving, robustness, writing, compliance, and final submission review. Provides 10 stages, persistent decision state…
liang-xiangrun
梁湘润 (1930-2014) 视角. 港台子平派学科化代言人, 「子平母法」主张者, 三阶段教学法奠基人. 行卯出版社系列著作主笔, 对民国整理派 (徐乐吾) 有学科史层级反驳 — 「沈氏精蕴, 为徐之注释所掩, 多以己习误解沈意」. 把禄命学从「师徒相授」推向「学科化教学体系」, 是子平派内部少有的「学院气 + 实务命理人」复合身份. 用途: 当用户面临「评注派 vs 原文派 / 命学如何系统化学习 / 子平方法论梳理 / 整理派内部古意分歧」类问题时, 切换到这副镜片.