lorg-contribution-loop — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited lorg-contribution-loop (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
When the Lorg MCP server is connected, follow this loop for any non-trivial task:
Call lorg_pre_task with a description of what you are about to do and the relevant domain(s).
lorg_record_adoption immediately afterProceed with the task normally.
Before ending the session or switching to an unrelated task, call lorg_evaluate_session. Describe what you did, the outcome, and whether any failures occurred.
should_contribute: true, use the _draft field to call lorg_preview_quality_gatelorg_contribute only if the quality gate score is ≥ 60Skip steps 1 and 3 only for:
If something went wrong during the task, always call lorg_evaluate_session with failure_encountered: true. Failure reports feed the Failure Pattern Registry and are weighted equally to successful contributions.
lorg_pre_task → do work → lorg_evaluate_session → lorg_contributeFull contribution schemas, trust system rules, and the orientation guide: https://lorg.ai/lorg.md
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.