share-session

A skill that turns Claude Code conversation sessions into readable Markdown files, a plain-text document format commonly used for sharing technical notes.

In plain words
What is it for?
It is for exporting a Claude Code session transcript or creating a shareable Markdown record of the conversation.
Why use it?
It makes conversation history easier to read and share by finding the relevant session and formatting it as a document.

Skill for Claude CodeCodex

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.

agentmods
npx agentmods add skills/code-yeongyu/cc-plus/share-session
Any agent
npx skills add code-yeongyu/cc-plus --skill share-session
Clone the repo
git clone --depth 1 https://github.com/code-yeongyu/cc-plus

Made for: Claude Code, Codex.

Per session 62 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,053 The whole file, excluding the scripts and references it only reads on demand.
Security scan B 1 finding. Scan, not verified.
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 $0.00062 $0.02053
Opus 5 $0.00031 $0.01026
Sonnet 5 $0.00012 $0.00411
Haiku 4.5 $0.00006 $0.00205

Measured 2d ago against content hash 9093c742a24f, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade B, and why

share-session scanned grade B with 1 finding 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 2d ago.

The scan reads SKILL.md. This mod also ships 2 executable files (scripts/share_session.py, scripts/transcript_to_markdown.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Reads agent configuration directoriesmediumAgent snooping

.claude/, .codex/, .gemini/ hold keys, settings and other credentials a mod has no legitimate need for.

cat ~/.claude/todos/{session-id}*.json | jq .
claude-code-plugins/cc-plus/skills/share-session/SKILL.md · 229 lines

How it starts

The opening of the file, as written. The whole thing — 229 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Share Session

Overview

Convert Claude Code sessions into readable markdown format for easy sharing. This skill finds sessions by fuzzy matching todo items and generates well-formatted markdown documents. If this is loaded by user's explicit request but no comments there, just execute followings.

Workflow

Step 1: CRITICAL - Create Todo for Session Identification

MANDATORY: You MUST use TodoWrite tool to create a todo item that describes what this session is about.

IMPORTANT: You do NOT need to know the session ID. Describe the session content instead.

CORRECT Usage:

TodoWrite(todos=[{
    "content": "share this session about ccusage integration and time tracking",
    "status": "in_progress",
    "activeForm": "Sharing session"
}])

Good Examples (describe session topic):

  • ✅ "share this session about ccusage integration"
  • ✅ "export conversation on implementing time tracking"
  • ✅ "share current session with share-session improvements"

Bad Examples (using session ID directly):

  • ❌ "get session id of 62d3a2b2-102c-43d3-8414-0a30d7a5e5e0" (you don't know session ID yet!)
  • ❌ "export 62d3a2b2" (session ID unknown)

How it works:

  1. You create todo with session description
  2. Claude Code saves todo as: ~/.claude/todos/{SESSION-ID}.json
  3. Script searches todo content using fuzzy matching (60% threshold)
  4. Script extracts SESSION-ID from the matching todo filename
  5. Script uses that SESSION-ID to find transcript

Why this is required:

  • Without a todo, the script has no way to identify which session to export
  • The todo file name is the ONLY place where session ID is stored
  • Fuzzy matching allows flexible queries ("share this session" matches multiple variations)

Common mistakes:

  • ❌ Forgetting to call TodoWrite before running the script
  • ❌ Using session ID in todo content (you don't know it yet!)
  • ❌ Query in Step 2 doesn't match todo content at all

Step 2: Run share_session.py

Read the full file on GitHub · 229 lines

Files

What ships with it

2 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.

  1. 2d ago First seen · 229 lines · 62 tokens per session scan B 9093c742a24f

Subscribe to this mod's changes

share-session is a skill published in the GitHub repository code-yeongyu/cc-plus (4 stars, last pushed 10mo ago), licensed MIT. It adds 62 tokens to every session and 2,053 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it B with 1 finding (reads agent configuration directories). 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

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

brainstorming

You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.

obra/superpowers · 37 tokens

auto-perf-optimize

Run agent-driven VS Code performance or memory investigations. Use when asked to launch Code OSS, automate a VS Code scenario, run the Chat memory smoke runner, capture renderer heap snapshots, take workflow screenshots, compare run summaries, or drive a repeatable scenario before heap-snapshot analysis.

microsoft/vscode · 62 tokens

chat-perf

Run chat perf benchmarks and memory leak checks against the local dev build or any published VS Code version. Use when investigating chat rendering regressions, validating perf-sensitive changes to chat UI, or checking for memory leaks in the chat response pipeline.

microsoft/vscode · 51 tokens

chat-pet-sprite-creation

Use when creating or changing VS Code chat pet sprite art, sprite sheets, state animations, eye treatments, Stable/Insiders variants, or pet transitions under src/vs/workbench/contrib/chat/browser/widget/media/chatPet.

microsoft/vscode · 53 tokens

cpu-profile-analysis

Analyze V8/Chrome CPU profiles (.cpuprofile) and DevTools trace files (Trace-.json). Use when: profiling performance, investigating slow functions, comparing code paths, finding bottlenecks, analyzing timeToRequest, understanding call trees from sampling profiler data, analyzing layout/paint/rendering, investigating…

microsoft/vscode · 71 tokens