memtrace-fleet-resolve
memtrace-fleet-resolve is a Multi-agent review & consensus skill for AI agents, published by syncable-dev in the memtrace-public repository on GitHub. Skillspace rates memtrace-fleet-resolve D (68/100) and it passed the safety scan; the rating is based on static analysis only.
Resolve a Class C fleet decision: submit your verdict as an agent judge (fleet_submit_verdict), poll your own directive (fleet_get_escalation), see the needs-human queue (fleet_list_escalations), or record a human decision (fleet_resolve_escalation). Use when the user says 'a decision is waiting' or 'who should proceed', when you are handed a mediation_request, when acting as a mediator between two agents, or when a human chooses a winner in the dashboard. For the underlying conflict-class model and decision loop, see memtrace-fleet-coordination.
- Grade
- D
- Quality
- 68 / 100
- Safety
- Passed
- GitHub stars
- 430
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
- 100 / 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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