setup
Skill73 starsChanged 3 months agoMITView on GitHub
Conversational first-time setup — prove the hook is alive, then build the user's first rule catalog without showing them JSON or regex. Use when the user just installed ballast, asks how to set it up or "where do rules go", or the session-start line says "no rule catalog yet".
191 other projects use a version of this.
Adopted by
Most recently taken up by
- hydra-db/hydradb-claude-codetheir own version, first seen Nov 8, 2026
- WALKERKILLER/Look-Tongji-Notestheir own version, first seen Nov 8, 2026
- steerlabs/opensteertheir own version, first seen Nov 8, 2026
- ansvisor/ansvisortheir own version, first seen Nov 8, 2026
- dsifry/metaswarmtheir own version, first seen Nov 8, 2026
- anombyte93/prd-taskmastertheir own version, first seen Nov 8, 2026
Used with
Projects with it also use add-voice-transcription, add-discord and 10 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
juancruzmunozalbeloSkilladd-voice-transcription
Add voice message transcription to NanoClaw using OpenAI's Whisper API. Automatically transcribes WhatsApp voice notes so the agent can read and respond to them.
Also in 5 projects that use this
MicrosoftSkilladd-discord
Add Discord bot channel integration via Chat SDK.
Also in 11 projects that use this
MicrosoftSkilladd-slack
Add Slack channel integration via Chat SDK.
Also in 11 projects that use this
juancruzmunozalbeloSkilladd-telegram-swarm
Add Agent Swarm (Teams) support to Telegram. Each subagent gets its own bot identity in the group. Requires Telegram channel to be set up first (use /add-telegram). Triggers on "agent swarm", "agent teams telegram", "telegram swarm", "bot pool".
Also in 7 projects that use this
- +8 more from microsoft
Other versions191 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 191
- anthropics/knowledge-work-plugins★ 35ksame name
- garrytan/gbrain★ 32ksame name
- gavrielc/nanoclaw★ 31ksame name
- nanocoai/nanoclaw★ 31ksame name
- qwibitai/nanoclaw★ 31ksame name
- Q00/ouroboros★ 6.3ksame name
- pytorch/executorch★ 5.2ksame name
- agenticnotetaking/arscontexta★ 3.5ksame name
- aws/agent-toolkit-for-aws★ 3.4ksame name
- spotify/portal-ai-plugins★ 2.8ksame name
181 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository15 other files it gives its agents.
- brain-initSkill
- checkpointSkill
- decision-ledgerSkill
- doctorSkill
- goalSkill
- knowledge-baseSkill
- pinSkill
- proof-standardSkill
- recallSkill
- rehearsalSkill
- reportSkill
- researcherSkill
- scheduleSkill
- skill-forgeSkill
- verify-gateSkill
The file
We split this skill into the rules it gives an agent
2 rules. 0 are common, 1 is distinctive, and 1 is very specific to this project.
0
Common
Most of the 170 edited versions we read keep these.
1
Distinctive
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Very specific: line 15
Detect a returning user (at most one question): If .claude/ballast.rules.json already exists (project or ~/.claude/), this is not …
- Distinctive: line 27
A dead hook ends setup: No catalog work until the status line proves delivery is possible.
“Common” is measured: kept by at least 6 in 10 of the 170 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Setup — from installed to armed, four questions or fewer
Installing ballast puts the hook in place; it does nothing until a rule catalog exists. This skill walks a user — including one who has never edited a JSON file — from "installed" to "my first rules fired in front of me". You do all the file work; the user only answers questions and watches the proof.
Two principles, taken from setups that work: never ask a question whose answer is always yes, and never claim something works — show it firing.
Steps
- Prove the hook is alive before building anything (no question). Run
node --version(the hook needs ≥ 18) and the status line:node "$CLAUDE_PLUGIN_ROOT/hooks/scripts/ballast-rules.mjs" --status(whenCLAUDE_PLUGIN_ROOTis not set, find the install path viaclaude plugin list, or use the repo checkout). If node is missing or the line does not appear, stop here and hand the user the doctor skill — a catalog written on top of a dead hook is the worst outcome ballast has: silence that looks like working. - Detect a returning user (at most one question). If
.claude/ballast.rules.jsonalready exists (project or~/.claude/), this is not first-time setup — offer three paths and follow the answer: add a rule (pin skill), check health (doctor skill), or start over. - Confirm chat language (one question, confirmation only). Keywords are literal text — a rule keyed only in English never fires on a Korean sentence. Detect the language(s) the user has been typing and confirm: "You write in Korean and English — should rules listen for both?" Pair every keyword list in the confirmed languages from here on.
- Pick starter rules (one question). Present the example catalog's rules as a multi-choice list in plain words — label plus one-line reason, no ids, no JSON. For example: "Estimate before spending — anything that costs credits waits for your approval first." Let them pick any number, including none.
- Set the danger level (one question). "Dangerous commands (mass delete, force push): warn about them, or block them outright?" If they choose block, show the honesty line that ships with the example: it stops the prompt, it is not a sandbox.
- Write the files and fire a live proof (no question). Create
.claude/ballast.rules.jsonwith the chosen rules, keywords paired in the confirmed languages, wrapped as{"version": 1, "rules": [...]}. Show the file list you created. Then have the user send (or send yourself) a test sentence containing a trigger word, and point at the[ballast]block that arrives: that is the mechanism, live. No restart is needed. - Leave one habit and two doors (no question). The habit: "When I get something wrong, correct me in plain words — a correction can become a permanent rule (I'll draft it, you approve; that's the pin skill)." The doors: brain-init if they want memory files for decisions and facts; doctor if anything ever feels off.
Rules
- The user never sees JSON, regex, or paths unless they ask. You write; they choose.
- Do not invent starter rules beyond the example catalog — new rules are pin's job, born from real corrections, not guessed at setup.
- Do not pad the flow. Four questions is the ceiling, not the target; a returning user might need one.
- A dead hook ends setup. No catalog work until the status line proves delivery is possible.
Part of ballast — foundations first, every solved path kept, done means checks pass.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

