reasoning-trace-optimizer
muratcankoylan/Agent-Skills-for-Context-Engineering / examples/interleaved-thinking
analyzes agent traces , which improves: spots drift and improves its prompts
Details
- judge’s score
- 4/10
- place
- outside the packs
- publisher
- muratcankoylan
- status
- new
- pinned commit
- 9ff0c99 on GitHub (new tab)
- skill’s last commit
- May 15, 2026
- repo stars
- 18,177
- main type
- Building with Claude
Judgement
Vague triggering, focused on MiniMax M2.1 (API, interleaved thinking). The rto Python package and the analyze-session mode are neither provided nor implemented for Claude Code. Useful ideas, but little verifiable know-how.
reservations
- The rto Python package (cli, analyzer, optimizer) is not provided: commands and actual behavior cannot be verified.
- Written for the MiniMax API (api.minimax.io, M2.1), not for Claude Code. The analyze-session mode and the post_tool_error hook event match no documented Claude Code API.
- Partly marketing content (Partnership section, quotes from the MiniMax article) and truncated annexes (agentthinking, interleavedthinking, analysis); the interleavedthinking annex remains largely unread.
- Triggering
- 1/2
- Added value
- 1/2
- Precision
- 1/2
- Scope
- 1/2
- Quality
- 0/2
Alerts
3 alerts, by category
Execution
- high risk
The example hook runs a shell command (rto analyze-session) on a tool error: if copied as is, it executes third-party code on every error.
Network
- high risk
The optimization mode sends tasks, prompts and full traces (which may contain code or secrets) to a third party, the MiniMax API.
Static scan
- info risk
bundled scripts, not run by the SKILL.md
examples/01_basic_capture.py, examples/02_tool_usage.py, examples/03_full_optimization.py, reasoning_trace_optimizer/__init__.py, reasoning_trace_optimizer/analyzer.py
Original description
Debug and optimize AI agents by analyzing reasoning traces, context degradation, tool confusion, instruction drift, repeated task failures, and performance regressions.
added on Oct 19, 2026 · license MIT