weekly-production-review
weekly-production-review is a Standups & status reporting skill for AI agents, published by tma1-ai in the openfuse repository on GitHub. Skillspace rates weekly-production-review F (52/100) and it passed the safety scan; the rating is based on static analysis only.
Prepare Langfuse weekly production reviews that explain what broke, what was fixed, what remains open, and where alerting or tracking needs cleanup. Use when asked for a production review, "what broke last week", fixed/open bugs, Datadog alerted monitors/pages, status-page incidents, incident.io incidents, or an engineering-team overview that combines Linear, Datadog, and customer incident signals.
- Grade
- F
- Quality
- 52 / 100
- Safety
- Passed
- GitHub stars
- 31
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
- 70 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Not declared. Check the repository before reusing it.
- Adoption
- Adopted by 0 other repositories, in 0 collections
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
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