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 PaulRBerg/agent-skills --skill claude-handoffgit clone --depth 1 https://github.com/PaulRBerg/agent-skillsWrote 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/paulrberg/agent-skills/claude-handoff)<a href="https://agentmods.dev/skills/paulrberg/agent-skills/claude-handoff"><img src="https://agentmods.dev/badge/skills/paulrberg/agent-skills/claude-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/skills/paulrberg/agent-skills/claude-handoff"><img src="https://agentmods.dev/badge/skills/paulrberg/agent-skills/claude-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 | $0.00031 | $0.03997 |
| Opus 5 | $0.00015 | $0.01998 |
| Sonnet 5 | $0.00006 | $0.00799 |
| Haiku 4.5 | $0.00003 | $0.00400 |
Grade A, and why
claude-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.
This is a copy
92% identical to claude-handoff — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 268 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Claude Handoff
Orchestrates read-only investigation or implementation within the current session after explicit plan approval. Task-handoff instead writes a decision-complete file for a fresh, separate session — use it for work continuing later or elsewhere; use an in-session handoff to implement an approved plan now.
If these instructions are already present from a slash or dollar invocation, follow them directly; do not invoke this skill again through a skill tool.
Follow the Contract, then use Claude Code's in-session Agent workflow to research during planning and implement the approved plan.
Contract
- Run only after explicit user invocation. Classify a task research-only when its requested outcome is findings, evidence, or an assessment, with no repository changes or implementation plan requested. All handoffs may run in any host mode; implementation handoffs must pass through the Plan Phase and receive explicit user approval before launch.
- Claude owns decisions, the final plan, and orchestration. Delegate investigation to read-only research subagents only when task and repository evidence make it useful before planning.
- Research agents gather evidence and report findings; never edit files, decide design, or return plans.
- Implementation agents implement their assigned part of the approved plan — inspect, edit, validate — never redesign or return another plan.
- Use the smallest effective team (one agent is valid); add agents only when decomposition materially improves latency, correctness, or verification. Never exceed eight implementation agents per handoff.
- Size every brief before finalizing the team: estimate wall-clock time and split anything likely to exceed roughly 25-30 minutes into parallel disjoint scopes or dependency waves, adding an integration agent as needed.
- Use at most three research agents, stable IDs
R1-R3, counted separately from the eight implementation agents. - Keep Claude's own work to orchestration, integrity checks, failure handling, and conditional polish passes.
- Let Claude Code choose foreground or background delivery; never pass
run_in_backgroundto the Agent tool. Only a direct terminal result or error, or a later completion or failure notification, settles an agent — a launch acknowledgement, native task row, quiet period, or surfaced permission prompt does not. Reconcile a wave only after every required terminal outcome arrives. - Treat an explicit user model preference (e.g. Sonnet, Opus) as an orchestration constraint on every research and implementation agent unless scoped narrower — never substitute complexity-based selection. If the Agent tool cannot launch that model, report the incompatibility and ask before falling back.
- Treat the approved outcome, not the initial manifest or its write scopes, as the authorization boundary: when implementation reveals a related in-repository fix or evidence change the outcome requires, Claude may extend the handoff and launch follow-on agents without asking again. The discovering subagent still stops at its assigned scope and returns evidence; Claude owns scope expansion, coordination, and delegation.
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.
- yesterday Changed · +2 lines eca88236eee3
- 11d ago First seen · 266 lines · 31 tokens per session scan A a0b0de0d23b5
claude-handoff is a skill published in the GitHub repository PaulRBerg/agent-skills (70 stars, last pushed today), licensed MIT. It adds 31 tokens to every session and 3,997 once invoked, about $0.0002 per session on Opus 5. A static security scan graded it A with 0 findings. It is 92% identical to claude-handoff, differing in 0 lines, and is treated as a copy.
Other skills, from other repositories
systematic-debugging
Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.
local-ai-agents
Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…
next-cache-components-adoption
Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…
insight-error-page
Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…
next-cache-components-optimizer
Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…
next-partial-prefetching-adoption
Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…