octo-summary

octo-summary is an LLM evaluation & observability skill for AI agents, published by Mininglamp-OSS in the octo-cli repository on GitHub. Skillspace rates octo-summary D (64/100) and it passed the safety scan; the rating is based on static analysis only.

Read, create, find, and cite Octo summaries through octo-cli. Use when an agent needs to create an owner-only summary from explicit channels, discover summaries visible to its bot owner, inspect one summary, retrieve its current body, or ground an answer in returned citation metadata. Load after octo-shared.

Grade
D
Quality
64 / 100
Safety
Passed
GitHub stars
773

Unproven: rated by static analysis only, not yet compared head-to-head.

Our two independent classifiers differ on this skill's category, so treat the placement as provisional.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

Our review

Architecture
100 / 100
Maturity
Basic: a single SKILL.md
Security scan
Low-risk patterns
License
Not declared. Check the repository before reusing it.

What the scanner flagged

  • mentions secrets in text

Not checked yet

  • Category is a classifier prediction; no model has read this skill yet
  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

Skillspace indexes and rates this skill; it does not host or endorse it. Run third-party skills at your own risk.