Is Deepline Pre Research safe and trustworthy?

tashan scores Deepline Pre Research on public evidence — it is currently active. Audit scope: OSV advisories, install-time scripts, build provenance and declared permission surface. We do not review source code or execute the capability.

How do I install Deepline Pre Research?

Drop the skill folder into ~/.claude/skills/ (user scope) or .claude/skills/ (project scope).

Who maintains Deepline Pre Research?

2 GitHub contributors, source: getaero-io/deepline-plugins.

‹ The Index

Deepline Pre Research

skill

Use when the user wants a last30days-style pre-research pass in Deepline: discover the critical public, private, CRM, workflow, social, and web data sources for a research/enrichment job; compare provider coverage; estimate Deepline credit cost; recommend the source plan before building or running the workflow; or build custom language/messaging from buyer, competitor, community, and CRM evidence. Triggers: pre-research, source discovery, provider strategy, research data sources, ScrapeCreators, X/Twitter data, Reddit comments, public and private datasets, CRM data, workflow data, custom language, messaging language, pain language.

Works with: Claude Code (native) · Cursor, Codex CLI (manual)
native: this artifact type is that client's own format

Category: Search — see all ranked ›

Install (Claude Code):

cp -r deepline-pre-research ~/.claude/skills/

Adoption: 1 repos
Upkeep: 80.0
Freshness: 95.0
Evidence coverage: 84% of the inputs this score can use — the rest are unknown, and the score is discounted for it
Health: active
Contributors: 2
License: MIT

Security audit

Not scanned yet. We audit npm-published capabilities for known advisories, install-time scripts and permission surface; this one has no npm package we can resolve, or has not reached the queue.

Its own instructions

Its SKILL.md says when to use it, says when not to, shows worked examples and covers setup.

Read from the capability’s own SKILL.md. This is not a grade and does not compare to the instruction-depth verdict on an MCP server — a skill has no tools to document, so that rubric does not apply to it.

You searched for one. Check the rest of your stack:

npx tashan-cli doctor

Reads the config already on your machine and names what is dead, deprecated or running code at install time. No account, nothing uploaded.

tashan Pro$6/mo

Pro adds the history to tashan doctor, so a run over your own config says which of yours gained an advisory, started running an install script, or lost its last maintainer — and what to move to.

Every score since we started measuring, for any capability
The named replacement when something you run is dying — not just that it is
tashan doctor over the config you already have, on your machine

Start a 7-day trial › Everything measured on this page stays free.

source ↗ · skill:getaero-io/deepline-pre-research

Everything on this page is public evidence and free. What it cannot know is whether you run this — check your whole config, free, in the browser. tashan Pro adds the series behind each row and names a replacement for anything dying.

Already running this? Check your whole config — free, in your browser, nothing installed. Or npx tashan-cli doctor locally, which sends nothing at all.

Measured 2026-08-20 · scorer s5 · how · something wrong here?