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session-logs

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

74

1.91x

Quality

63%

Does it follow best practices?

Impact

94%

1.91x

Average score across 3 eval scenarios

SecuritybySnyk

Risky

Do not use without reviewing

Optimize this skill with Tessl

npx tessl skill review --optimize ./openclaw/skills/session-logs/SKILL.md
SKILL.md
Quality
Evals
Security

Evaluation results

98%

33%

Recovering Past Discussion Threads from Session Logs

Cross-session text search

Criteria
Without context
With context

jq for parsing

0%

100%

rg for search

0%

100%

type=="message" filter

50%

80%

type=="text" content filter

100%

100%

role=="user" filter

100%

100%

rg case-insensitive

0%

100%

Correct session identified

100%

100%

User questions extracted

100%

100%

No toolCall/thinking noise

100%

100%

All sessions processed

100%

100%

Without context: $0.2271 · 48s · 14 turns · 19 in / 3,125 out tokens

With context: $0.5159 · 1m 37s · 30 turns · 191 in / 5,864 out tokens

90%

56%

AI Assistant Usage Cost Report

Session cost analysis

Criteria
Without context
With context

jq for cost extraction

0%

100%

Correct cost field path

0%

100%

Null fallback // 0

0%

100%

jq -s slurp mode

0%

100%

Date from first line

70%

100%

Date extraction via cut

70%

100%

awk daily aggregation

50%

100%

Results sorted descending

0%

0%

Per-session totals

100%

100%

Correct total amounts

50%

100%

Without context: $0.2197 · 53s · 15 turns · 17 in / 3,899 out tokens

With context: $0.4503 · 1m 28s · 26 turns · 60 in / 5,696 out tokens

95%

45%

AI Assistant Behavior Audit: Tool Usage Patterns

Tool call frequency analysis

Criteria
Without context
With context

jq for parsing

0%

100%

type=="toolCall" filter

0%

100%

.name extraction

0%

100%

type=="message" filter

0%

50%

sort | uniq -c ranking

100%

100%

Multi-session processing

100%

100%

Correct top tool

100%

100%

Correct tool counts

100%

100%

No non-tool content

100%

100%

Content iterated correctly

0%

100%

Without context: $0.2218 · 50s · 17 turns · 20 in / 3,387 out tokens

With context: $0.4409 · 1m 22s · 25 turns · 63 in / 4,791 out tokens

Repository
trpc-group/trpc-agent-go
Evaluated
Agent
Claude Code
Model
Claude Sonnet 4.6

Table of Contents

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