Session Reader

Community

HazAT

session-reader

Efficiently read and analyze pi agent session JSONL files. Use when asked to "read a session", "review a session", "analyze a session", "what happened in this session", "load session", "parse session", "session history", "go through sessions", or given a .jsonl session file path.

Overview

Publisher	HazAT
Repository	`pi-config`
Skill name	`session-reader`
Stars	450
Forks	44
Bundled files	2
License	MIT
Links	Skill source Repository

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.
2 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by HazAT on GitHub. Read the source before you install it.

Installation

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

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
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.

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/HazAT/pi-config.git /tmp/pi-config
mkdir -p .claude/skills
cp -r /tmp/pi-config/skills/session-reader .claude/skills/session-reader

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Session Reader 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 Session Reader 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 Session Reader 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.

Read Pi Sessions

Parse pi session JSONL files into readable output. Sessions live in ~/.pi/agent/sessions/<project>/ as .jsonl files.

Step 1: Find the Session

bash
ls -t ~/.pi/agent/sessions/*<project>*/*.jsonl | head -10

Step 2: Start with Table of Contents

Always start with toc to get a numbered map of the session:

bash
uv run ${CLAUDE_SKILL_ROOT}/scripts/read_session.py <path> --mode toc

This prints a compact numbered list of every user exchange with timestamps and tools used.

Step 3: Read the Conversation

Default mode — shows only user messages and assistant text responses. Tool calls are hidden but hinted at with [used: tool1, tool2].

bash
# Full conversation (default mode)
uv run ${CLAUDE_SKILL_ROOT}/scripts/read_session.py <path>

# Specific range
uv run ${CLAUDE_SKILL_ROOT}/scripts/read_session.py <path> --offset 5 --limit 3

# Search for specific topic
uv run ${CLAUDE_SKILL_ROOT}/scripts/read_session.py <path> --search "error"

Step 4: Drill Into a Turn

See everything about a specific exchange — thinking, tool calls, tool results, costs:

bash
uv run ${CLAUDE_SKILL_ROOT}/scripts/read_session.py <path> --mode turn --turn 7

Mode Reference

Mode	Shows	Use for
`conversation`	User + assistant text only (default)	Reading what happened
`toc`	Numbered exchange list	Navigation, finding the right turn
`turn`	Full detail for one exchange	Drilling into specifics
`issues`	Errors, failures, retries, user complaints	Finding what broke
`overview`	Metadata + exchange summaries	Quick session assessment
`full`	Everything including tool I/O	Deep debugging
`tools`	Tool calls and results only	Understanding agent actions
`costs`	Token usage and cost per turn	Cost analysis
`subagents`	Subagent task/status/cost/paths	Reviewing delegated work

Flags

Flag	Effect
`--offset N`	Skip first N exchanges
`--limit N`	Show at most N exchanges
`--turn N`	Exchange number to drill into (with `--mode turn`)
`--search TERM`	Filter exchanges containing TERM (case-insensitive)
`--max-content N`	Max chars per block (default: 3000, 0=unlimited)

Typical Workflow

--mode toc → scan the session, find interesting exchanges
Default (conversation) → read the human-readable flow
--mode turn --turn N → drill into specific exchanges
--mode subagents → review delegated work and follow subagent session paths

Subagent Drill-Down

Subagent session files can be read with the same script:

bash
# From --mode subagents output, grab the JSONL path
uv run ${CLAUDE_SKILL_ROOT}/scripts/read_session.py <subagent-jsonl-path> --mode toc

Session Format Reference

Read ${CLAUDE_SKILL_ROOT}/references/session-format.md only if custom parsing is needed.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

references/session-format.md6 KB
scripts/read_session.py34 KB

Frequently asked questions

What does the Session Reader AI skill do?

Why use Session Reader on TypingMind?

Because you install it once and use it with any model. Session Reader 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 Session Reader in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/HazAT/pi-config/tree/main/skills/session-reader. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Session Reader?

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 Session Reader?

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

Is the Session Reader AI skill free?

Yes. It is published on GitHub by HazAT under the MIT 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.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Read Pi Sessions

Step 1: Find the Session

Step 2: Start with Table of Contents

Step 3: Read the Conversation

Step 4: Drill Into a Turn

Mode Reference

Flags

Typical Workflow

Subagent Drill-Down

Session Format Reference

Bundled files

Frequently asked questions

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