Ripwire Handoff logo

Ripwire Handoff

OrganizationPopular
redhat-et
ripwire-handoff

Brief someone ELSE on a subsystem — 'hand this area off' to a successor, teammate or fresh session: purpose, the 2-3 entry points with bodies, the design docs that say WHY, hotspot/bus-factor risk — a compact pasteable brief, not a wall of source. Understanding it yourself → orient.

Overview

Publisherredhat-et
Repositoryripwire
Skill nameripwire-handoff
Stars
2.2K
Forks
141
Bundled files
Instructions only
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by redhat-et on GitHub. Read the source before you install it.

Installation

Install the Ripwire Handoff AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/redhat-et/ripwire.git /tmp/ripwire
mkdir -p .claude/skills
cp -r /tmp/ripwire/skills/ripwire-handoff .claude/skills/ripwire-handoff
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Ripwire Handoff in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Ripwire Handoff on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Ripwire Handoff is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Handoff with ripwire

Nearest neighbours: • You need to UNDERSTAND the subsystem yourself first (not brief someone else) → ripwire-orient. • You need ONE symbol's full contract, not a whole-subsystem brief → ripwire-navigate (--expand). • The recipient needs an architecture/layering read specifically → ripwire-layers.

Trigger: you're handing a subsystem to another agent or developer and want to give them a fast, accurate brief — not a wall of source code.

<dir> = repo root. SUBSYSTEM = the area in plain words (e.g. "ingest pipeline", "graph ranking", "MCP server loop").

  1. Task-relevant symbolsripwire <dir> --for="SUBSYSTEM" --top-k=20 Output: <sigs> ranked by relevance. The top 10 are the symbols the recipient most needs to know. Note their file paths, complexity (cx=), and reuse count (in=).

  2. Expand the key symbolsripwire <dir> --expand=SYM1,SYM2,SYM3 --legend=compact (Pick the top 3 by rank from step 1.) Output: full bodies + callee signatures. This is the actual contract — paste it into the handoff verbatim rather than paraphrasing. Bodies are redacted by default — high-confidence credentials (API keys, tokens, connection strings) are masked before you see them, so pasting this straight into a handoff doc is safe as-is; pass --no-redact only if you deliberately need the verbatim secret (e.g. auditing the credential-handling code itself).

  3. Design rationaleripwire <dir> --recall="SUBSYSTEM" Output: most relevant markdown docs (planning/design notes, READMEs) in full. Read and summarize the key decisions — why this design, not another. That's what the recipient most needs and least gets from reading code. Also check ripwire <dir> --notes --legend=compact for this subsystem's symbols/files — any gotcha a prior agent already pinned (<note d="date">…</note>) surfaces automatically on the symbols step 1/2 emit; fold it into the brief instead of letting the recipient rediscover it. Before you hand off, --note-add="SYM_or_path: text" any trap you found yourself that isn't already written down — the cheapest thing you can leave the successor. If the same symbol has collected several notes across handoffs, that's a signal to graduate it out of prose entirely, into a --quality-ack reason or a standing --arch deny rule.

  4. Maintenance risk, scoped to the subsystem — point --hotspots straight at the subsystem instead of filtering the whole-repo list: ripwire <subdir> --hotspots (verified: subdir scoping works, same as --dead-code=DIR). If the subsystem isn't a clean subdirectory, keep the repo root and --exclude the rest (repeatable flag) to fence the scan to just the area you're briefing on. Also worth a look: ripwire <dir> --hotspots --legend=compact (whole-repo, no scoping) to see whether any subsystem file also lands in the global top-10 — a file can be locally worst-in-subsystem and still unremarkable repo-wide, or vice versa; that distinction matters to the recipient. Tell them: "this file is gnarly — high churn, high complexity — be careful and run tests after any change here."

Calibration — what's fact vs framing here

  • Steps 1–3 are direct reads (ranked signatures, full bodies, doc text) — trustworthy as far as the underlying call graph goes (name-based edges; a symbol with high amb= in --expand's <calls> block means some of ITS calls were ambiguous — don't present those as certain in the brief, flag them). --recall returns doc text, not a verified fact — summarize what the docs claim, not what's provably still true; a stale design doc will still get picked up.
  • Step 4 (hotspots) is churn × cognitive complexity — a maintenance-pain signal, not a defect count. Frame it to the recipient as "developers keep touching this, tread carefully," not "this file has bugs."

Stamp the commit you measured at — at="<sha>[+dirty]"

A brief is read hours or days later, against a HEAD that has moved. Every number you quote must carry the commit it was measured at, or the recipient cannot tell a stale finding from a live one.

Several repo-reading verbs now do this for you: the header carries at="<sha>", and at="<sha>+dirty" when the working tree had uncommitted changes at measure time. Real output from this repo:

<quality-delta baseline="git-HEAD" regressions="0" … gating="0" at="f0a45e43d">

+dirty is the important half. A stamp ending in +dirty means the numbers describe a working tree that exists on exactly one machine and is not recoverable from the sha — it is not reproducible by the recipient. Either commit first and re-measure, or say so explicitly in the brief.

What actually carries a stamp today (verified by running each verb — do not assume it is universal):

verbstamp
--quality-delta · --pr-context · --test-gate · --map-diff · --doc-driftat="<sha>[+dirty]"
--stray-contenthead="<sha>" — different attribute name, and no +dirty suffix
--situ · --cochange · --ownersnone — record the sha yourself (git rev-parse --short HEAD)

Two traps: the attribute is head= rather than at= on --stray-content, so a script grepping only for at= silently gets nothing; and in --doc-drift the name at= is overloaded — the header at= is a git sha, but each drift ROW's at= is a file path (at="src/mcp.h"). Anchor on the header, not the first match.

Output

Handoff brief: (1) what the subsystem does in 2 sentences, (2) the 3 key entry-point symbols with file:line and their signatures (from --expand), (3) the design decisions the recipient must know (from --recall), (4) any hotspot files to be careful with, flagged if churn/complexity data looks stale (no git history, non-git root). Aim for under 600 tokens.

Mid-task session handoff — --handoff

Handing off an INTERRUPTED WORKING SESSION (not a subsystem summary)? ripwire <dir> --handoff --legend=compact emits the whole continuation packet in one deterministic call: a <verified> section (branch, HEAD sha with +dirty marker, changed files + their symbols, transitive blast-radius size, tests-to-run) that is pure disk truth, and a <heuristic> section (co-change partners not in the diff, committed --note-add notes on the touched files, plan/design doc pointers ranked by a branch+commit-subject query) that is labeled suggestion, never presented as fact. Composes with --token-budget=N — heuristic rows drop tail-first and the header discloses withheld=; verified rows never drop. Single-root only; paste the packet to the next agent as-is.

Frequently asked questions

What does the Ripwire Handoff AI skill do?

Brief someone ELSE on a subsystem — 'hand this area off' to a successor, teammate or fresh session: purpose, the 2-3 entry points with bodies, the design docs that say WHY, hotspot/bus-factor risk — a compact pasteable brief, not a wall of source. Understanding it yourself → orient.

Why use Ripwire Handoff on TypingMind?

Because you install it once and use it with any model. Ripwire Handoff is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Ripwire Handoff in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/redhat-et/ripwire/tree/main/skills/ripwire-handoff. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Ripwire Handoff?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Ripwire Handoff?

As many as you like. As long as a model supports skills, you can use Ripwire Handoff with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Ripwire Handoff AI skill free?

Yes. It is published on GitHub by redhat-et under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

View all

Set up your own AI workspace now

Get notified about new features and future giveaways by subscribing to our newsletter 👇