papermark

Use this skill whenever you need to inspect Papermark datarooms via the agent-first `papermark` CLI. Triggers include listing datarooms, inspecting one dataroom, reading folder structures, checking links, groups, permission groups, viewers, views, stats, or export-visits jobs.

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Install skill "papermark" with this command: npx skills add danielgwilson/papermark-cli/danielgwilson-papermark-cli-papermark

Papermark (agent-first CLI)

Use this skill when the task is about Papermark dataroom discovery or analytics.

Default stance:

  • Prefer the papermark CLI, not manual browser clicking.
  • Prefer --json for machine use.
  • Stay read-first unless the CLI explicitly supports a mutation.
  • Model dataroom contents through folder traversal, not just top-level documents.
  • If papermark is missing from PATH, install the published CLI with npm i -g papermark-cli. If global npm install is unavailable, install from a local checkout with npm link.

Default workflow

  • Sanity check: papermark doctor --json
  • List rooms: papermark datarooms list --json
  • If needed, override the saved workspace with --team-id <id>
  • Take the dataroom id from datarooms list and feed it into the follow-up commands
  • Inspect one room: papermark datarooms get <id> --json
  • Read content tree: papermark datarooms folders <id> --json
  • Use --limit for a wider summary and --raw only when the full nested folder tree is truly needed
  • Inspect access model: papermark datarooms links <id> --json, papermark datarooms groups <id> --json, papermark datarooms permission-groups <id> --json
  • Inspect analytics: papermark datarooms views <id> --json
  • Inspect analytics summary counts: papermark datarooms views-count <id> --json
  • Inspect viewers: papermark datarooms viewers <id> --json
  • Inspect room stats: papermark datarooms stats <id> --json
  • Inspect export jobs: papermark datarooms export-visits <id> --json

Worked example

If the user asks "show me the analytics and folder structure for the investor dataroom":

  1. Run papermark datarooms list --json
  2. Pick the matching dataroom id from data.datarooms
  3. Run papermark datarooms folders <id> --json for the content tree
  4. Run papermark datarooms views <id> --json, papermark datarooms viewers <id> --json, or papermark datarooms stats <id> --json depending on the level of analytics detail needed

Auth

If auth is missing:

  • Best interactive path: papermark auth login
  • If you already have a visible Chrome session with remote debugging: papermark auth login --cdp-port 9333
  • Saved local config: printf '%s' '{"sessionToken":"...","currentTeamId":"..."}' | papermark auth set --stdin
  • Best ephemeral path: set PAPERMARK_SESSION_TOKEN and PAPERMARK_CURRENT_TEAM_ID
  • If the stored team id is wrong, pass --team-id <id> on the dataroom command instead of recapturing auth

Avoid pasting full session tokens into logs or chat. Treat dataroom, analytics, links, groups, and viewer output as sensitive workspace data.

Important constraints

  • This adapter targets a private authenticated surface, not a documented public management API.
  • Dataroom content is folder-first.
  • export-visits currently inspects export jobs and does not yet start them.

Contract essentials

  • Prefer --json for agent work.
  • With --json, stdout should contain exactly one JSON object.
  • Progress and status belong on stderr.
  • Exit codes:
    • 0 success
    • 1 request failure, upstream failure, or failed checks
    • 2 auth/user action required or invalid input
  • Common error codes:
    • AUTH_MISSING
    • AUTH_INVALID
    • NOT_FOUND
    • RATE_LIMITED
    • UPSTREAM_5XX
    • TIMEOUT
    • VALIDATION
    • CHECK_FAILED

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