Terse

Compress output by removing filler, pleasantries, articles, and hedging while preserving code, terms, and errors for concise technical responses.

This skill is basically a prompt-prefix/template for compressing sub-agent output and the included Python helper is harmless text-manipulation code. Before installing: 1) Confirm the platform will not apply 'terse' to owner-facing, planning, or security-sensitive outputs (the SKILL.md warns against that). 2) Ask the platform which 'always' source it honors — the SKILL.md embeds always: true while the registry shows always: false; ensure the skill will not be force-loaded. 3) Test on low-risk internal tasks (logs, CI steps, code implement/debug subtasks) to validate quality. 4) Review the linked repository yourself if you want extra assurance; there are no network calls or secret access in the included files. If you need help with specific checks (e.g., how your platform resolves SKILL.md metadata), share your platform details and I can guide next steps.

Type: OpenClaw Skill Name: terse Version: 2.0.0 The 'terse' skill is a utility designed to reduce token consumption by instructing sub-agents to use concise, 'caveman-style' language. The bundle consists of a helper Python script (scripts/caveman_prompt.py) for string formatting and markdown instructions (SKILL.md) that define safety boundaries and usage guidelines for the agent; no malicious code, data exfiltration, or unauthorized execution patterns were found.