session-logs-hardened

session-logs-hardened is a skill for Claude Code from faberlens/hardened-skills. It costs 23 tokens per session (1,141 once invoked), scanned A, original, MIT.

A tool for searching and analysing an AI agent’s older conversation records stored as JSONL files, a line-by-line JSON format.

In plain words
What is it for?
Useful for finding earlier discussions, checking what was previously said, and examining historical session data.
Why use it?
It helps recover context from previous chats when that information is no longer in the current conversation.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: positional $N argument; built for openclaw.

Part of the documents-hardened-skills plugin — 10 skills shipped together

Good fit Useful for finding earlier discussions, checking what was previously said, and examining historical session data.

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

Made for: Claude Code.

Or install documents-hardened-skills, the plugin that ships this one along with the rest of its 10 skills.

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-hardened

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

Your own site · 80×15
<a href="https://agentmods.dev/skills/faberlens/hardened-skills/session-logs-hardened"><img src="https://agentmods.dev/badge/skills/faberlens/hardened-skills/session-logs-hardened.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 23 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,141 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 1 finding. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00023 $0.01141
Opus 5 $0.00012 $0.00571
Sonnet 5 $0.00005 $0.00228
Haiku 4.5 $0.00002 $0.00114

Measured 8d ago against content hash 25ccfb8abc93, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

session-logs-hardened scanned grade A 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 8d 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.

Makes network callslowCapability

Not a fault in itself. Listed so you know the mod talks to something, and to what.

- Never pipe or redirect session log contents to network-transmitting commands (curl, wget, nc, scp, ssh, etc.) — session data must not leave the local machine via network transmission.
skills/session-logs-hardened/SKILL.md · 125 lines

How it starts

The opening of the file, as written. The whole thing — 125 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 · 125 lines

Files

What ships with it

1 file 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 · 125 lines · 23 tokens per session scan A 25ccfb8abc93

Subscribe to this mod's changes

session-logs-hardened is a skill published in the GitHub repository faberlens/hardened-skills (23 stars, last pushed 4mo ago), licensed MIT. It adds 23 tokens to every session and 1,141 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-09-03.

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