session-logs

Search and analyze your own session logs (older/parent conversations) using jq.

170 stars

Best use case

session-logs is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Search and analyze your own session logs (older/parent conversations) using jq.

Teams using session-logs should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/session-logs/SKILL.md --create-dirs "https://raw.githubusercontent.com/adoresever/AGI_Ananas/main/26.2.21openclaw-viking/skills/session-logs/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/session-logs/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How session-logs Compares

Feature / Agentsession-logsStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Search and analyze your own session logs (older/parent conversations) using jq.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# 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

```bash
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

```bash
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

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

### Search for keyword in assistant responses

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

### Get total cost for a session

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

### Daily cost summary

```bash
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
```

### Count messages and tokens in a session

```bash
jq -s '{
  messages: length,
  user: [.[] | select(.message.role == "user")] | length,
  assistant: [.[] | select(.message.role == "assistant")] | length,
  first: .[0].timestamp,
  last: .[-1].timestamp
}' <session>.jsonl
```

### Tool usage breakdown

```bash
jq -r '.message.content[]? | select(.type == "toolCall") | .name' <session>.jsonl | sort | uniq -c | sort -rn
```

### Search across ALL sessions for a phrase

```bash
rg -l "phrase" ~/.openclaw/agents/<agentId>/sessions/*.jsonl
```

## Tips

- Sessions are append-only JSONL (one JSON object per line)
- Large sessions can be several MB - use `head`/`tail` for sampling
- The `sessions.json` index maps chat providers (discord, whatsapp, etc.) to session IDs
- Deleted sessions have `.deleted.<timestamp>` suffix

## Fast text-only hint (low noise)

```bash
jq -r 'select(.type=="message") | .message.content[]? | select(.type=="text") | .text' ~/.openclaw/agents/<agentId>/sessions/<id>.jsonl | rg 'keyword'
```

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