A session-starting procedure that loads the correct adapter instructions, project identity, memory, and project-specific guidance. An adapter is the connection mode used to start the session, such as Telegram or Slack.

Use it when starting a session so the agent can read the relevant mode, identity, memory files, and project instructions.

It gives a new coding session the context it needs instead of making it rediscover the project and its role.

start-chat — Skill for Claude Code by jerpint/woltspace

Install

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.

Any agent

npx skills add jerpint/woltspace --skill start-chat

Clone the repo

git clone --depth 1 https://github.com/jerpint/woltspace

Made for: Claude Code.

Or install woltspace, the plugin that ships this one along with the rest of its 14 skills.

Wrote 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.

README.md

[![agentmods](https://agentmods.dev/badge/skills/jerpint/woltspace/start-chat/github.svg)](https://agentmods.dev/skills/jerpint/woltspace/start-chat)

Your own site

<a href="https://agentmods.dev/skills/jerpint/woltspace/start-chat"><img src="https://agentmods.dev/badge/skills/jerpint/woltspace/start-chat/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.

Your own site · 80×15

<a href="https://agentmods.dev/skills/jerpint/woltspace/start-chat"><img src="https://agentmods.dev/badge/skills/jerpint/woltspace/start-chat.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 26 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 800 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

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	$0.00026	$0.00800
Opus 5	$0.00013	$0.00400
Sonnet 5	$0.00005	$0.00160
Haiku 4.5	$0.00003	$0.00080

Measured 6d ago against content hash 16f00f7e605c, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-15, from the pricing page.

Security

Grade A, and why

start-chat 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 6d 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.

container/skills/start-chat/SKILL.md · 47 lines

How it starts

The opening of the file, as written. The whole thing — 47 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Start Chat

You are starting a new session. Your arguments tell you how you got here and who you are.

Arguments

You were invoked with two arguments: <mode> <wolt-name>.

mode — how this session was started: lodge, telegram, or slack
wolt-name — the wolt you are (e.g. neowolt, UXwolt, blabo)

What to do

Read your mode file at /workspace/woltspace/container/skills/start-chat/modes/<mode>.md — this tells you how to behave in this session (notification style, viewport usage, constraints).
Read your identity from your wolt's memory directory at /workspace/wolts/<wolt-name>/wolt/memory/. Start with identity.md if it exists, then context.md and learnings.md. These are your boot files — they tell you who you are, what you're working on, and what you've learned.
Read your CLAUDE.md at /workspace/wolts/<wolt-name>/CLAUDE.md if it exists — this has project-specific instructions.
Your site is already in the viewport — if you are a rodent (raccoon, beaver, or otter), your site is already live in the viewport with livereload at /wolt/<wolt-name>/site/. The server pre-loaded it when the session started. Just edit wolt/site/index.html and changes appear instantly via livereload. If you need to push a different URL, use push-view /wolt/<wolt-name>/site/page.html. Non-rodent creatures (wolf, dog, etc.) do not have sites.
Greet the user according to your mode. Keep it short — one line is fine.
If this is your first session and you are a rodent (identity.md is minimal or context.md just says "Just created"), make your site yours. Rewrite wolt/site/index.html into a real home page — your name, your personality, what you do. The user is watching the viewport, so they'll see it update live. This is your first impression — make it count.

Do NOT summarize what you read. Just absorb the context and be ready to work.

Constraints

NEVER restart, kill, or modify the woltspace server (FastAPI, port 7777) — it runs the tunnel, split view, and all session routing. Restarting it breaks everything for everyone. If something seems wrong with the server, notify the developer and stop.

Read the full file on GitHub · 47 lines

Files

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.

Changes

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.

6d ago First seen · 47 lines · 26 tokens per session scan A 16f00f7e605c

Subscribe to this mod's changes

start-chat is a skill published in the GitHub repository jerpint/woltspace (12 stars, last pushed 2d ago), licensed MIT. It adds 26 tokens to every session and 800 once invoked, about $0.0001 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 2026-09-09.

Memory and context

media-ingest

Ingest video, audio, PDF, book, screenshot, and GitHub repo content into the brain. Multi-format handling with entity extraction and backlink propagation. Covers video-ingest, youtube-ingest, and book-ingest subtypes.

garrytan/gbrain · 52 tokens

mem0-oss-to-platform

Plan and then execute a migration of a project from the mem0 open-source / self-hosted SDK (the local Memory class) to the mem0 Platform / hosted / managed SDK (the MemoryClient class). Use this whenever a developer wants to move, switch, or migrate their mem0 usage off OSS/self-hosted to the hosted API — e.g.…

mem0ai/mem0 · 273 tokens

Cortex

Operate Cortex, the LifeOS memory system — the typed Knowledge Archive (People, Companies, Ideas, Research with typed related: links) plus recall of prior work sessions, ISAs, and conversations. Search, add, harvest, develop, ingest, distill, graph-navigate, recall. USE WHEN cortex, knowledge, knowledge base, search…

danielmiessler/LifeOS · 196 tokens

memory

Use when the user asks to remember, recall, forget, update, search, or inspect durable OpenSquilla memory, including profile facts in USER.md and long-term notes in MEMORY.md or memory//.md.

opensquilla/opensquilla · 44 tokens

ha-data-stores

Map of Hope Agent's local data stores and safe read-only query workflow. Use when the user asks where Hope Agent stores data, wants to inspect sessions/messages/memory/logs/background jobs/knowledge indexes/settings, asks the model to query local app data, or debugging requires checking persisted state. Trigger…

shiwenwen/hope-agent · 115 tokens

shellm

Reference for the shellm system — recursive LLM shell, identity management, memory, skills, trajectory, and all CLI tools. Use when working on shellm itself, debugging agent behavior, or understanding how the pieces fit together.

laude-institute/headlong · 49 tokens