deepline-quickstart — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited deepline-quickstart (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.
npm install -g deepline
deepline -hUse the current Plays workflow for quick demos. Do not use the retired CSV enrichment command or its flags.
deepline search "<input you have -> result you need>" --type prebuilts
deepline describe prebuilt/<play-from-search> deepline plays run prebuilt/<play-from-search> \
--input '{"linkedin_url":"https://www.linkedin.com/in/example/"}'exists unless one was written.
Inspect the file and choose a batch Play whose input schema matches its columns. Run a representative pilot before the full file:
deepline search "<input you have -> result you need>" --type prebuilts
deepline describe prebuilt/<batch-play-from-search>
deepline plays check prebuilt/<batch-play-from-search>
WORKDIR="deepline/data/quickstart-pilot" && mkdir -p "$WORKDIR"
head -n 4 leads.csv > "$WORKDIR/leads-pilot.csv"
deepline plays run prebuilt/<batch-play-from-search> --csv "$WORKDIR/leads-pilot.csv"
deepline runs export <run-id> --out "$WORKDIR/leads-pilot-enriched.csv"Wait for a terminal run result before exporting. Review row alignment and results before asking whether to process the rest of the file. Never substitute a scalar Play for a batch Play unless its contract explicitly accepts rows.
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.