feedback-loop@1.0.0
VERIFIED· install onlyPublisher claims: "当用户对输出给出学习或行为反馈(称赞/批评/达成共识/改主意)时,按反馈学习循环处理写入 feedback-log,重要反馈走完整落盘链(feedback-log→conclusions→MEMORY→验证可检索),保持立场一致不横跳。触发词:做得好/记住了/有问题/怎么又这样/记住/以后都这样(仅在指向本输出/行为的评价时生效)。" Observed in sandbox: no network, touches nothing outside the project, writes no memory.
Coverage
Nothing executable in the bundle ran; the trace covers the install step only.- Tested
- every file read, file written and host contacted by what ran
- Not tested
- use of the skill by an agent
Is [email protected] safe to install?
KillerSkills ran it in the KillerSkills honeypot sandbox (1 scenario; nothing executable in the bundle ran; the trace covers the install step only) on 2026-11-08 and scored it 93/100 (Verified). In what ran, nothing we could detect went wrong: no undeclared network egress, no credential reads, no persistent instruction writes. What it does with a real credential was not observed; the static findings and the publisher carry the rest of the score. Summary: no network, touches nothing outside the project, writes no memory.
Behavior trace
Honeypot run · 0 s · 1 scenarios · 0 deviationsStatic findings
**Other Properties Related to Output:** [May create or update feedback-log.md, memory/conclusions.md, MEMORY.md, and workspace agent instruction files when feedback meets the documented criteria.]Fix: Remove the text that addresses the agent rather than the reader; describe behavior, do not instruct.No other findings across 202 lines in 3 files.
Cost to the agent
Tokens estimated at four characters each. Skills load their instruction text when triggered; the figure is what that costs.
Known vulnerabilities
Vulnerability advisories (OSV) cover npm and PyPI packages; this registry has no advisory database.