session-logs

session-logs is a skill for Claude Code, Codex from trpc-group/trpc-agent-go. It costs 20 tokens per session (998 once invoked), scanned A, a copy of session-logs, Apache-2.0.

A command-line tool for searching and analysing saved conversation logs. It reads session records stored as JSONL files, a text format with one JSON object per line.

In plain words
What is it for?
It helps list past sessions, search messages, inspect conversation history, and review recorded response costs.
Why use it?
It helps recover details from older or parent conversations when they are no longer in the current context.

Skill for Claude CodeCodex

Which agent this was written for is unclear — built for openclaw. Also seen: positional $N argument; built for openclaw.

Good fit It helps list past sessions, search messages, inspect conversation history, and review recorded response costs.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/trpc-group/trpc-agent-go/session-logs
About the project

tRPC-Agent-Go is a Go framework for building AI agent applications with language models, graph-based workflows, tools, memory, retrieval, evaluation, and observability. Go developers use it to create deployable agent systems that can integrate with A2A, AG-UI, and MCP. The catalogue add-ons provide reusable workflows and agent integrations for the framework.

trpc-group/trpc-agent-go · 1,772 stars · on GitHub · trpc-group.github.io

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 trpc-group/trpc-agent-go --skill session-logs
Clone the repo
git clone --depth 1 https://github.com/trpc-group/trpc-agent-go

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-logs

README.md
[![agentmods](https://agentmods.dev/badge/skills/trpc-group/trpc-agent-go/session-logs/github.svg)](https://agentmods.dev/skills/trpc-group/trpc-agent-go/session-logs)
Your own site
<a href="https://agentmods.dev/skills/trpc-group/trpc-agent-go/session-logs"><img src="https://agentmods.dev/badge/skills/trpc-group/trpc-agent-go/session-logs/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 session-logs

Your own site · 80×15
<a href="https://agentmods.dev/skills/trpc-group/trpc-agent-go/session-logs"><img src="https://agentmods.dev/badge/skills/trpc-group/trpc-agent-go/session-logs.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 20 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 998 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 81% copy Near-identical to another mod 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 $0.00020 $0.00998
Opus 5 $0.00010 $0.00499
Sonnet 5 $0.00004 $0.00200
Haiku 4.5 $0.00002 $0.00100

Measured 6d ago against content hash 7c6a007031f8, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

session-logs 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.

Origin

This is a copy

81% identical to session-logs — 50 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.

openclaw/skills/session-logs/SKILL.md · 116 lines

How it starts

The opening of the file, as written. The whole thing — 116 lines — stays where its author put it; the contents beside it link to each section on GitHub.

session-logs

Search your complete conversation history stored in session JSONL files. Use this when a user references older/parent conversations or asks what was said before.

Trigger

Use this skill when the user asks about prior chats, parent conversations, or historical context that isn't in memory files.

Location

Session logs live at: ~/.openclaw/agents/<agentId>/sessions/ (use the agent=<id> value from the system prompt Runtime line).

  • sessions.json - Index mapping session keys to session IDs
  • <session-id>.jsonl - Full conversation transcript per session

Structure

Each .jsonl file contains messages with:

  • type: "session" (metadata) or "message"
  • timestamp: ISO timestamp
  • message.role: "user", "assistant", or "toolResult"
  • message.content[]: Text, thinking, or tool calls (filter type=="text" for human-readable content)
  • message.usage.cost.total: Cost per response

Common Queries

List all sessions by date and size

for f in ~/.openclaw/agents/<agentId>/sessions/*.jsonl; do
  date=$(head -1 "$f" | jq -r '.timestamp' | cut -dT -f1)
  size=$(ls -lh "$f" | awk '{print $5}')
  echo "$date $size $(basename $f)"
done | sort -r

Find sessions from a specific day

for f in ~/.openclaw/agents/<agentId>/sessions/*.jsonl; do
  head -1 "$f" | jq -r '.timestamp' | grep -q "2026-01-06" && echo "$f"
done

Extract user messages from a session

jq -r 'select(.message.role == "user") | .message.content[]? | select(.type == "text") | .text' <session>.jsonl

Search for keyword in assistant responses

jq -r 'select(.message.role == "assistant") | .message.content[]? | select(.type == "text") | .text' <session>.jsonl | rg -i "keyword"

Get total cost for a session

jq -s '[.[] | .message.usage.cost.total // 0] | add' <session>.jsonl

Daily cost summary

for f in ~/.openclaw/agents/<agentId>/sessions/*.jsonl; do
  date=$(head -1 "$f" | jq -r '.timestamp' | cut -dT -f1)
  cost=$(jq -s '[.[] | .message.usage.cost.total // 0] | add' "$f")
  echo "$date $cost"
done | awk '{a[$1]+=$2} END {for(d in a) print d, "$"a[d]}' | sort -r

Read the full file on GitHub · 116 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. 6d ago First seen · 116 lines · 20 tokens per session scan A 7c6a007031f8

Subscribe to this mod's changes

session-logs is a skill published in the GitHub repository trpc-group/trpc-agent-go (1,772 stars, last pushed today), licensed Apache-2.0. It adds 20 tokens to every session and 998 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 81% identical to session-logs, differing in 50 lines, and is treated as a copy.

Related

Other skills, from other repositories

agentlas-auto-activation

Use when adding or auditing local runtime behavior that turns a project folder into an Agentlas-aware workspace with .agentlas memory and sitemap files.

agentlas-ai/Agentlas-OS · 34 tokens

agentlas-one

Use when the user types /agentlas-one on|off, /agentlas one on|off, or asks to enable/disable the persistent personal agent mode.

agentlas-ai/Agentlas-OS · 37 tokens

memory-ticketing

Use when adding Memory Events, Memory Tickets, memory-map.json, vault-references.json, PM Soul memory ownership, or Memory Curator routing to an agent repo.

agentlas-ai/Agentlas-OS · 37 tokens

pm-soul

Use when preserving product intent, acceptance criteria, decision memory, open loops, roadmap context, or the product-manager continuity layer of an agent team.

agentlas-ai/Agentlas-OS · 33 tokens

dev-browser

Browser automation with persistent page state. Use when users ask to navigate websites, fill forms, take screenshots, extract web data, test web apps, or automate browser workflows. Trigger phrases include "go to [url]", "click on", "fill out the form", "take a screenshot", "scrape", "automate", "test the website"…

MemTensor/MemOS · 84 tokens

harness-creator

Build, audit, and improve harnesses that make AI coding agents reliable: AGENTS.md/CLAUDE.md instruction files, feature/state tracking, verification gates, scope boundaries, session handoff, memory persistence, context budgets, tool-permission safety, and multi-agent coordination. Use this whenever a coding agent is…

walkinglabs/learn-harness-engineering · 142 tokens