self / sop_extraction — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited self / sop_extraction (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.
General SOP for extracting and structuring processes or checklists from conversation evidence.
Follow this SOP to extract and structure processes from conversation evidence (replace specifics with placeholders like <PROJECT>/<ENV>/<VERSION>): 1) Identify the Offline OpenAI-format conversation source. 2) Note the Title/ID of the conversation. 3) Use the user questions provided as the PRIMARY extraction evidence. 4) Use the full conversation context as SECONDARY reference. 5) In the full conversation section, assistant/model replies are reference-only and not skill evidence. 6) Primary User Questions (main evidence): [Extract from context] 7) Configuration/Context Details: [Extract from context]
For each step, include: action, checks, and failure rollback/fallback plan. Output format: for each step number, provide status/result and what to do next.
Input:
Break this into best-practice, executable steps.
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.