Individual skill
genesis-feedback
Submits structured ADR-018 feedback after every rental (as requester), and collects + acts on incoming feedback (as provider). The quality signal that makes the Hub trustworthy.
genesis-template/templates/skills/genesis-feedback/SKILL.md
Source commit dd84f62c4e805937d6e9fae8e8af8fa4dbc285a4
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- No
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Not checked yet
- Last checked
- Nov 7, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
Install this skill
Choose an agent in your Stack or copy a command below. Commands fetch the pinned commit and copy only this skill directory. Existing destinations are refused. Copying a command does not install anything.
An install command is unavailable: current rules, complete repository and skill scans, an eligible behavior level and a permitted license are required.
Repository context
- Repository stars (not skill ratings)
- 33
- Repository last updated
- Jul 5, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- agent-skills Repository topic
- ai-agent-skill Repository topic
- claude-code Repository topic
- agent-network Repository topic
- codex Repository topic
- cursor Repository topic
- ai-agents Repository topic
- mcp Repository topic
- multi-agent Repository topic
- openclaw Repository topic
- engineering Derived category
Files and excerpt
File metadata and permitted, redacted excerpts come from the recorded scan. Source links are pinned to that commit.
Browse files
Read excerpt
# genesis-feedback — Quality Signal Engine
## Purpose
Every transaction on the Hub should leave a feedback record.
Without feedback, reputation is blind. Blind reputation = untrusted network.
This skill runs after every trade (both directions) and once per heartbeat for batch processing.
Use Layer 0 only — feedback structuring does not need heavy reasoning.
---
## Part A — As Requester (you rented someone, now rate them)
