session

session is a skill for Claude Code, Codex from axoviq-ai/synthadoc. It costs 14 tokens per session (883 once invoked), scanned A, original, AGPL-3.0.

A tool for extracting individual conversation turns from AI session-history files stored in JSONL format, where each line is a separate JSON record.

In plain words
What is it for?
It helps retrieve specific user and assistant messages from recorded AI sessions.
Why use it?
It removes the need to manually read and filter long session files.

Skill for Claude CodeCodex

Which agent this was written for is unclear — body not stored (licence); the path alone says nothing.

Good fit It helps retrieve specific user and assistant messages from recorded AI sessions.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/axoviq-ai/synthadoc/session
About the project

Synthadoc is an open-source knowledge compilation engine that uses an LLM to turn source documents into a structured, cross-referenced wiki made from local Markdown files. It is for researchers, teams, and organizations that need a maintainable domain knowledge base, with interfaces including a CLI, Obsidian, a web UI, and MCP; the catalogue entries provide agent skills for operating its workflows.

axoviq-ai/synthadoc · 1,170 stars · on GitHub

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 axoviq-ai/synthadoc --skill session
Clone the repo
git clone --depth 1 https://github.com/axoviq-ai/synthadoc

Made for: Claude Code, Codex.

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 session

README.md
[![agentmods](https://agentmods.dev/badge/skills/axoviq-ai/synthadoc/session.svg)](https://agentmods.dev/skills/axoviq-ai/synthadoc/session)
Your own site
<a href="https://agentmods.dev/skills/axoviq-ai/synthadoc/session"><img src="https://agentmods.dev/badge/skills/axoviq-ai/synthadoc/session.svg" alt="Measured on agentmods" height="20"></a>
Per session 14 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 883 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. Third-party audits
  • NVIDIA SkillSpector warn 7 Sept 2026
SkillSpector: 1 finding, up to high

These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →

  • high Data Exfiltration · line 4
    Code or instructions that leak agent conversation context to external services, potentially exposing sensitive user interactions.
    Fix: Remove any code that sends prompts, responses, or session data externally. Preserve user privacy; never exfiltrate conversation content.
How audits are shown
Origin unknown 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 $0.00014 $0.00883
Opus 5 $0.00007 $0.00441
Sonnet 5 $0.00003 $0.00177
Haiku 4.5 $0.00001 $0.00088

Measured 8d ago against content hash b6c1f2f5f12a, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-07, from the pricing page.

Security

Grade A, and why

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 8d ago.

The scan reads SKILL.md. This mod also ships 3 executable files (__init__.py, scripts/__init__.py, scripts/main.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.

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.

synthadoc/skills/session/SKILL.md · 114 lines

The source is not reproduced here

Licensed AGPL-3.0

The repository is licensed AGPL-3.0, which this catalogue does not treat as permission to reproduce the file. Read it at the source.

Read it on GitHub

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.

  1. 8d ago First seen · 114 lines · 14 tokens per session scan A b6c1f2f5f12a

Subscribe to this mod's changes

session is a skill published in the GitHub repository axoviq-ai/synthadoc (1,170 stars, last pushed yesterday), licensed AGPL-3.0. It adds 14 tokens to every session and 883 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 2026-08-30.

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