start-session

start-session is a skill for Claude Code from TimboGP/timbogp-marketplace. It costs 144 tokens per session (1,789 once invoked), scanned A, original, MIT.

A command for starting a focused learning session inside an agentic-study-environment study project. It helps choose a topic and decide whether to learn through explanation, practice, or another supported session format.

In plain words
What is it for?
Use it to study a topic, work through an exercise, practise a skill, or begin a domain-specific session such as a simulation or defence exercise.
Why use it?
It gives a study session a clear topic, beginning, and structure instead of leaving learning unplanned. It also loads the project's existing instructions and progress.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions CLAUDE.md; mentions AGENTS.md.

Part of the agentic-study-environment plugin — 7 skills, 1 command shipped together

Good fit Use it to study a topic, work through an exercise, practise a skill, or begin a domain-specific session such as a simulation or defence exercise.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/timbogp/timbogp-marketplace/start-session
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 TimboGP/timbogp-marketplace --skill start-session
Clone the repo
git clone --depth 1 https://github.com/TimboGP/timbogp-marketplace

Made for: Claude Code.

Or install agentic-study-environment, the plugin that ships this one along with the rest of its 7 skills, 1 command.

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.

agentmods badge for start-session

README.md
[![agentmods](https://agentmods.dev/badge/skills/timbogp/timbogp-marketplace/start-session/github.svg)](https://agentmods.dev/skills/timbogp/timbogp-marketplace/start-session)
Your own site
<a href="https://agentmods.dev/skills/timbogp/timbogp-marketplace/start-session"><img src="https://agentmods.dev/badge/skills/timbogp/timbogp-marketplace/start-session/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.

agentmods 80×15 button for start-session

Your own site · 80×15
<a href="https://agentmods.dev/skills/timbogp/timbogp-marketplace/start-session"><img src="https://agentmods.dev/badge/skills/timbogp/timbogp-marketplace/start-session.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 144 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,789 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00144 $0.01789
Opus 5 $0.00072 $0.00894
Sonnet 5 $0.00029 $0.00358
Haiku 4.5 $0.00014 $0.00179

Measured 11d ago against content hash 127fb2408772, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

start-session 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 11d 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.

plugin/agentic-study-environment/skills/start-session/SKILL.md · 79 lines

How it starts

The opening of the file, as written. The whole thing — 79 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Start a learning session

This skill begins a bracketed session inside a learning sub-project. A session is the unit of work in the harness: it has a start (this skill), a focus (one topic, one session type), and an end (stop-session). Progress is recorded at session end.

When to use

The user wants to actively study something. They might say "start session", "let's work on TASEP", "begin a practice session on derivatives", or just "I want to do an exercise on Y". Anything that signals "tutor me through a topic now" should match.

If the user has not bootstrapped a sub-project yet, redirect them to the bootstrap skill first.

What to read before doing anything else

Before proposing or conducting anything, load context:

  1. The harness's optional .studyenv/AGENTS.md if present, otherwise .studyenv/CLAUDE.md if present (for cross-project conventions and any global Language:), and .studyenv/PROGRESS.md (created by bootstrap on first use). Both are optional context; if either is missing, continue without it. Everything the harness generates lives under .studyenv/ — the host project's own files are not read or modified.
  2. The sub-project's .studyenv/<name>/AGENTS.md, falling back to .studyenv/<name>/CLAUDE.md for older projects (for Domain:, Language:, goals, Tools & Materials), and .studyenv/<name>/PROGRESS.md (for what's been covered and at what status).
  3. The sub-project's .studyenv/<name>/ai-agent-materials/ — especially curriculum.md and any concept maps / excerpts. If there are unanalyzed items in .studyenv/<name>/source-materials/, analyze them now and write the intermediate representations into ai-agent-materials/ before proposing a route.
  4. If the sub-project declares Domain:, load the matching overlay at ../../domains/<domain>.md (relative to this SKILL.md). The overlay refines the generic rules in this skill — it does not replace them. If no Domain: is set, or Domain: study, no overlay applies and the neutral defaults stand.

Read the full file on GitHub · 79 lines

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.

  1. 11d ago First seen · 79 lines · 144 tokens per session scan A 127fb2408772

Subscribe to this mod's changes

start-session is a skill published in the GitHub repository TimboGP/timbogp-marketplace (3 stars, last pushed 2mo ago), licensed MIT. It adds 144 tokens to every session and 1,789 once invoked, about $0.0007 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 2026-08-31.

Related

Other skills, from other repositories

explain

Explain what a piece of code does — a specific file, class, or method in close detail, or a user-facing flow as a concise system overview. What it does and why, not whether it's good.

thoughtbot/rails-consultant · 45 tokens

gan-zhong-xue

A learning workflow that makes an AI explain code changes through questions, evidence, and underlying principles. It is designed to help developers understand work they asked an AI to do, rather than merely accept the result.

ly8427/gan-zhong-xue · 288 tokens

qector-educator

Teaching and documentation content for quantum error correction with QECTOR: beginner-to-advanced tutorials, ELI5 explanations of syndromes / decoders / parity checks, Tanner-graph visual explanations, and local Markdown teaching material. Load for explanations, course material, or documentation generation.

GuillaumeLessard/qector-claude-plugin · 61 tokens

kb-friendica

Background knowledge about Friendica, the federated social networking platform (Facebook alternative). Covers Friendica's history and lineage (Mistpark 2010, Friendika, Friendica, the Red Matrix/Hubzilla fork), its multi-protocol architecture (ActivityPub, DFRN, Diaspora protocol simultaneously), the DFRN protocol…

reiver/vibefed · 469 tokens

learn-from-fix

Capture Elixir/Ecto/LiveView lessons and Hex API rules. Use after corrections or when asked to document learning, record a lesson, prevent a fixed mistake, or remember package guidance with --library.

oliver-kriska/claude-elixir-phoenix · 46 tokens

examples

Provide Phoenix, LiveView, Ecto, OTP, or Oban examples. Use when asked for sample code, a walkthrough, a proper implementation, or expected workflow output. Pair with domain skills. NOT for debugging, direct changes, best-practice advice, or audits.

oliver-kriska/claude-elixir-phoenix · 57 tokens