session-logs

session-logs is a skill for Claude Code, Codex from kaiqiangh/mini-openclaw-langchain. It costs 20 tokens per session (946 once invoked), scanned A, a copy of session-logs, MIT.

A skill for searching and analyzing the agent's stored session logs, which are records of earlier conversations.

In plain words
What is it for?
Finding past sessions with jq and extracting readable messages, dates, session details, or usage information.
Why use it?
It helps recover details from older or parent chats that are no longer available in the current conversation.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one. Also seen: positional $N argument.

Good fit Finding past sessions with jq and extracting readable messages, dates, session details, or usage information.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/kaiqiangh/mini-openclaw-langchain/session-logs
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 kaiqiangh/mini-openclaw-langchain --skill session-logs
Clone the repo
git clone --depth 1 https://github.com/kaiqiangh/mini-openclaw-langchain

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/kaiqiangh/mini-openclaw-langchain/session-logs/github.svg)](https://agentmods.dev/skills/kaiqiangh/mini-openclaw-langchain/session-logs)
Your own site
<a href="https://agentmods.dev/skills/kaiqiangh/mini-openclaw-langchain/session-logs"><img src="https://agentmods.dev/badge/skills/kaiqiangh/mini-openclaw-langchain/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/kaiqiangh/mini-openclaw-langchain/session-logs"><img src="https://agentmods.dev/badge/skills/kaiqiangh/mini-openclaw-langchain/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 946 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 80% 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 $0.00946
Opus 5 $0.00010 $0.00473
Sonnet 5 $0.00004 $0.00189
Haiku 4.5 $0.00002 $0.00095

Measured 9d ago against content hash 871f4b8d0927, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, 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 9d 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

80% identical to session-logs — 49 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.

backend/skills/session-logs/SKILL.md · 115 lines

How it starts

The opening of the file, as written. The whole thing — 115 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: backend/workspaces/<agentId>/sessions/ (use the agentId 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 backend/workspaces/<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 backend/workspaces/<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 backend/workspaces/<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 · 115 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. 9d ago First seen · 115 lines · 20 tokens per session scan A 871f4b8d0927

Subscribe to this mod's changes

session-logs is a skill published in the GitHub repository kaiqiangh/mini-openclaw-langchain (11 stars, last pushed 1mo ago), licensed MIT. It adds 20 tokens to every session and 946 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 80% identical to session-logs, differing in 49 lines, and is treated as a copy.

Related

Other skills, from other repositories

media-ingest

Ingest video, audio, PDF, book, screenshot, and GitHub repo content into the brain. Multi-format handling with entity extraction and backlink propagation. Covers video-ingest, youtube-ingest, and book-ingest subtypes.

garrytan/gbrain · 52 tokens

mem0-oss-to-platform

Plan and then execute a migration of a project from the mem0 open-source / self-hosted SDK (the local Memory class) to the mem0 Platform / hosted / managed SDK (the MemoryClient class). Use this whenever a developer wants to move, switch, or migrate their mem0 usage off OSS/self-hosted to the hosted API — e.g.…

mem0ai/mem0 · 273 tokens

Cortex

Operate Cortex, the LifeOS memory system — the typed Knowledge Archive (People, Companies, Ideas, Research with typed related: links) plus recall of prior work sessions, ISAs, and conversations. Search, add, harvest, develop, ingest, distill, graph-navigate, recall. USE WHEN cortex, knowledge, knowledge base, search…

danielmiessler/LifeOS · 196 tokens

memory

Use when the user asks to remember, recall, forget, update, search, or inspect durable OpenSquilla memory, including profile facts in USER.md and long-term notes in MEMORY.md or memory//.md.

opensquilla/opensquilla · 44 tokens

ha-data-stores

Map of Hope Agent's local data stores and safe read-only query workflow. Use when the user asks where Hope Agent stores data, wants to inspect sessions/messages/memory/logs/background jobs/knowledge indexes/settings, asks the model to query local app data, or debugging requires checking persisted state. Trigger…

shiwenwen/hope-agent · 115 tokens

establishing-project-context

Use when the user asks to establish shared project language, or project work exposes a conflicting, renamed, or deprecated domain term that needs active semantic modeling. Routine small tasks stay on the fast path.

GanyuanRan/Aegis · 45 tokens