OC Context Optimizer

Optimize conversation context by deduplicating, compressing messages, summarizing long chats, and parallelizing tool calls to save tokens and speed execution.

What to consider before installing / enabling: - Mismatch: The README (SKILL.md) says this should be installed system-wide and run automatically for all agents, but the skill package declares no install or privileged flags. Ask the author how this is expected to be integrated and whether explicit admin consent is required. - Persistence: The scripts create and update files (token budget state under logs/, tool_defer_config.json). If you enable this skill, it will leave on-disk state in the agent runtime area. Review and control where state files are written. - Data collection: auto_compactor scans message content for file-path-like strings and returns a list of 'preserved files'. That could surface local file paths mentioned in chats. If your teams discuss sensitive pathnames or secrets in messages, consider the privacy implications. - Autonomy and visibility: SKILL.md claims the optimizer is agent-unaware and automatically applied. Prefer running these scripts manually or in a sandbox first rather than allowing invisible, autonomous modification of conversation contexts. - Review & test: Because the bundle is instruction-only with code files included, review the full code (including truncated parts not provided here) and run the scripts in an isolated test environment to verify behavior. Look for any code paths that read arbitrary filesystem locations or make network calls (none were found in the reviewed fragments, but some files were truncated). - Deployment recommendation: Do not deploy system-wide or enable invisible/autonomous invocation until you (a) confirm how the runtime will integrate this skill, (b) review the remaining code that was truncated in the package, and (c) run the tools in a sandbox to confirm they only operate on the intended files/messages. If you want to use the functionality, prefer explicit, per-agent invocation or wrap these utilities in an audited integration with limited permissions.

Type: OpenClaw Skill Name: oc-context-optimizer Version: 1.2.0 The bundle provides a suite of runtime optimization utilities for OpenClaw, including conversation history compression (auto_compactor.py, microcompact.py), parallel tool execution (streaming_executor.py), and token usage tracking (token_budget.py). The code is well-structured, uses standard Python libraries, and its logic aligns strictly with the stated purpose of improving LLM context efficiency and execution speed. No evidence of data exfiltration, malicious execution, or prompt injection was found.