training_log_sop — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited training_log_sop (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 generating or analyzing training logs, incorporating metrics like loss, accuracy, precision, recall, and max accuracy across epochs.
Follow this SOP (replace specifics with placeholders like <PROJECT>/<ENV>/<VERSION>):
Generate or parse logs using the following structure, ensuring all relevant metrics are populated: Epoch <CURRENT>/<TOTAL> <STEPS>/<TOTAL_STEPS> [==============================] - <TIME>s <MS>ms/step - loss: <LOSS> - accuracy: <ACC> - precision: <PREC> - recall: <REC> - max_acc: <MAX_ACC> - val_loss: <VAL_LOSS> - val_accuracy: <VAL_ACC> - val_precision: <VAL_PREC> - val_recall: <VAL_REC> - val_max_acc: <VAL_MAX_ACC> - lr: <LR>
For each step, include:
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.