openspec-implementation-loop
openspec-implementation-loop is an Execution & autonomous loops skill for AI agents, published by elastic in the terraform-provider-elasticstack repository on GitHub. Skillspace rates openspec-implementation-loop C (71/100) and it passed the safety scan; the rating is based on static analysis only.
Orchestrates an end-to-end implementation loop for a single OpenSpec change: select a change, ask commit-only vs PR delivery, triage the change to determine an execution strategy (inline, single-implementor, or per-task) based on change size and complexity, implement tasks using the chosen strategy, run review and validation, feed findings back for fixes, push to origin, then either watch GitHub Actions on the branch (commit mode) or create a PR and delegate PR monitoring to the pr-monitoring-loop skill (PR mode). Use when the user wants to implement an approved OpenSpec proposal/change with iterative review and CI feedback.
- Grade
- C
- Quality
- 71 / 100
- Safety
- Passed
- GitHub stars
- 208
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
- 93 / 100
- Maturity
- Basic: a single SKILL.md
- Security scan
- No issues found
- License
- Apache-2.0
- 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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