weekly-production-review
weekly-production-review is an Observability & incident response skill for AI agents, published by langfuse in the langfuse repository on GitHub. Skillspace rates weekly-production-review F (54/100) and it passed the safety scan; the rating is based on static analysis only.
Prepare Langfuse weekly production reviews that audit what broke, what was fixed, what remains open, and where Datadog, incident.io, or Linear tracking needs cleanup. Use when asked for a production review, "what broke last week", fixed/open production bugs, Datadog alerted monitors/pages, Datadog error log patterns, incident.io incidents, incident.io alert load, pager load by engineer or time of day, or a source-table engineering review across incident.io, Linear bugs, Datadog alerts, and Datadog logs.
- Grade
- F
- Quality
- 54 / 100
- Safety
- Passed
- GitHub stars
- 31,215
Unproven: rated by static analysis only, not yet compared head-to-head.
This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.
Our review
- Architecture
- 74 / 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
- 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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