
from agentops416
Mine past agent sessions for working prompts, decisions, rituals and recovery patterns (operational tooling).
Practical guide and operational skill for mining and working with archived agent sessions. Focuses on discovery workflows, prompt mining (ritual detection), index health and recovery, cross-machine sources, and safe operational recipes. Includes quick-reference commands and jq recipes for extracting user prompts and resuming past sessions.
Anwendungsfälle: Find prior prompts that worked, recover sessions, audit agent decisions, build prompt libraries, cross-machine searches.
Structure:
Notes: This skill documents operational commands for the cass CLI. It depends on the cass binary and related tooling; it is an execution/supporting skill rather than an end-user conversational skill.
cass-session-search is an AgentOps skill for mining past agent sessions to find working prompts, decisions, and patterns. The SKILL.md is exceptionally well-structured with clear frontmatter, detailed operating doctrine, anti-pattern tables, safety boundaries, and a thorough reference index pointing to 16+ supporting markdown files. No bundled scripts were present in this fetch, so only static analysis was possible. The skill requires the external `cass` binary and has niche appeal — primarily useful for teams running agent-ops workflows with large session corpora.
Security: No curl|bash, no hardcoded creds, no destructive commands. Safety boundaries are explicit (pre-authorized vs needs-permission). One minor concern: multi_machine_search.sh uses SSH to remote hosts — not fetched but referenced. Code quality: Very thorough documentation, clear constraints, well-organized anti-patterns. Missing actual scripts in this fetch limits quality assessment. Architecture: Exemplary structure — frontmatter complete, output contract specified, progressive disclosure via references/, clear separation between doctrine and reference material. Usefulness: Niche — primarily valuable for teams already invested in agent-ops/cass ecosystem. The session archaeology concept is interesting but requires significant setup (cass binary, indexed sessions). Broad developer audience is limited.
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