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Pp Botsee

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mvanhorn
pp-botsee

Have your agents measure and improve your brand's AI Visibility with botsee.io. API-first, agent-native. Trigger phrases: `check my AI visibility`, `audit my AI visibility`, `audit example.com`, `what AI is saying about my brand`, `show competitor mentions in ChatGPT`, `run botsee`, `use botsee`, `botsee audit`.

Overview

Publishermvanhorn
Repositoryprinting-press-library
Skill namepp-botsee
Stars
2K
Forks
621
Bundled files
Instructions only
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by mvanhorn on GitHub. Read the source before you install it.

Installation

Install the Pp Botsee AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/mvanhorn/printing-press-library/tree/main/cli-skills/pp-botsee
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/mvanhorn/printing-press-library.git /tmp/printing-press-library
mkdir -p .claude/skills
cp -r /tmp/printing-press-library/cli-skills/pp-botsee .claude/skills/pp-botsee
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Pp Botsee in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Pp Botsee on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Pp Botsee is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

BotSee — Printing Press CLI

Prerequisites: Install the CLI

This skill drives the botsee-pp-cli binary. You must verify the CLI is installed before invoking any command from this skill. If it is missing, install it first:

  1. Install via the Printing Press installer. It defaults binaries to $HOME/.local/bin on macOS/Linux and %LOCALAPPDATA%\Programs\PrintingPress\bin on Windows:
    bash
    npx -y @mvanhorn/printing-press-library install botsee --cli-only
  2. Verify: botsee-pp-cli --version
  3. Ensure the reported install directory is on $PATH for the agent/runtime that will invoke this skill.

If the npx install fails (no Node, offline, etc.), fall back to a direct Go install (requires Go 1.26.6 or newer):

bash
go install github.com/mvanhorn/printing-press-library/library/marketing/botsee/cmd/botsee-pp-cli@latest

If --version reports "command not found" after install, the runtime cannot see the binary directory on $PATH. Do not proceed with skill commands until verification succeeds.

When to Use This CLI

Reach for this CLI when an agent or pipeline needs structured BotSee data without burning credits on repeat reads. Best for: running a fresh AI-visibility audit (ai-visibility-audit <url> is the headline), inspecting an existing site's setup (site-config), generating recommendations from a completed analysis, or aggregating cited sources across multiple sites for a portfolio view. Not the right tool for hosted dashboard UI use — that's app.botsee.io.

Unique Capabilities

These capabilities aren't available in any other tool for this API.

Flagship workflow

  • ai-visibility-audit — One command runs the full BotSee audit: idempotent on existing sites, bootstraps customer types and personas and questions if missing, then runs analysis across every LLM and prints a structured visibility report.

    This is THE command. Reach for it when an agent or user says 'audit my AI visibility' or 'check how AI sees example.com' — it handles the full lifecycle.

    bash
    botsee-pp-cli ai-visibility-audit example.com --types 2 --personas 2 --questions 5 --watch --agent
  • recommendations — Generate next-step recommendations from an analysis — promoted to top-level so agents can discover it without descending into the analysis subcommand tree.

    Use after an analysis to get LLM-generated action items without re-spending if you already pulled them once.

    bash
    botsee-pp-cli recommendations "$ANALYSIS_UUID" --agent

Workflow plumbing

  • site-config — Print the full customer-types -> personas -> questions tree for a site, with UUIDs and the actual edit commands users can copy-paste to add, update, or remove any node.

    Reach for this when a user asks 'what is set up for this site' or 'show me my BotSee config' — it surfaces every UUID needed for follow-up edits.

    bash
    botsee-pp-cli site-config --site "$SITE_UUID" --agent
  • sites-summary — Aggregate cited sources across every synced site, grouped by domain, with citation count, distinct sites citing each domain, and first-seen timestamp.

    Use for multi-site users and agencies who need the cross-portfolio answer 'which sources keep getting cited everywhere' — impossible without local aggregation.

    bash
    botsee-pp-cli sites-summary --agent --select domain,citation_count,distinct_sites_citing,first_seen

Command Reference

account — Manage account

  • botsee-pp-cli account — Returns account details including company name, site count, and owner information.

analysis — Manage analysis

  • botsee-pp-cli analysis get — Returns analysis details including status. Poll this endpoint until status is 'completed' or 'failed'.
  • botsee-pp-cli analysis run — Starts an analysis run. This is asynchronous - poll GET /api/v1/analysis/:uuid for status. Returns 202 Accepted.

api-keys — Manage api keys

  • botsee-pp-cli api-keys create — Creates a new API key. The raw key is returned only once in the response body — store it immediately.
  • botsee-pp-cli api-keys delete — Revokes an API key. You cannot revoke the key being used to make this request — use rotate or another key.
  • botsee-pp-cli api-keys list — Lists all API keys for the organization (raw key never returned).
  • botsee-pp-cli api-keys reset — Exchanges a one-time reset token (from email) for a fresh API key.

billing — Manage billing

  • botsee-pp-cli billing get-settings — Returns the organization's billing settings and current credit balance.
  • botsee-pp-cli billing topoff-via-x402 — Discovery call without payment headers returns 402 and does not require auth.
  • botsee-pp-cli billing update-settings — Updates the organization's monthly spend limit. Other settings are read-only via this endpoint.

botsee-auth — Manage botsee auth

  • botsee-pp-cli botsee-auth — Validates the API key and returns organization info and credit balance.

customer-types — Manage customer types

  • botsee-pp-cli customer-types delete — Archives a customer type. Returns 204 No Content on success.
  • botsee-pp-cli customer-types get — Returns a customer type with its personas.
  • botsee-pp-cli customer-types update — Updates a customer type. Only include fields you want to change.

personas — Manage personas

  • botsee-pp-cli personas delete — Archives a persona. Returns 204 No Content on success.
  • botsee-pp-cli personas get — Returns a persona with its questions.
  • botsee-pp-cli personas update — Updates a persona. Only include fields you want to change.

pricing — Manage pricing

  • botsee-pp-cli pricing — Returns the credit cost for each chargeable operation.

questions — Manage questions

  • botsee-pp-cli questions delete — Deletes a question. Returns 204 No Content on success.
  • botsee-pp-cli questions update — Updates a question. Only include fields you want to change.

rate-limits — Manage rate limits

  • botsee-pp-cli rate-limits — Returns the caller's current rate-limit state without consuming additional budget.

signup — Manage signup

  • botsee-pp-cli signup via-cc — Creates a credit-card signup token. USDC signups must use /api/v1/signup/usdc.
  • botsee-pp-cli signup via-usdc-token — Creates a USDC signup token. Use no_email: true for autonomous agent flows (no setup_url returned).

sites — Manage sites

  • botsee-pp-cli sites create — Creates a new site. Auto-generates product_name and value_proposition from URL if not provided (5 credits).
  • botsee-pp-cli sites delete — Archives a site. Returns 204 No Content on success.
  • botsee-pp-cli sites get — Returns a site with its customer types and persona counts.
  • botsee-pp-cli sites list — Returns a paginated list of sites for the organization.

usage — Manage usage

  • botsee-pp-cli usage by-key — Returns credit usage breakdown per API key.
  • botsee-pp-cli usage get — Returns credit balance, auto-charge settings, and paginated transaction history.

webhooks — Manage webhooks

  • botsee-pp-cli webhooks create — Registers a webhook URL. Returns the webhook with its signing secret (shown only once).
  • botsee-pp-cli webhooks delete — Deletes a webhook. Returns 204 No Content on success.
  • botsee-pp-cli webhooks list — Lists all registered webhooks for the organization.
  • botsee-pp-cli webhooks list-events — Returns the catalog of event types this API can emit, with JSON Schemas per event.

Finding the right command

When you know what you want to do but not which command does it, ask the CLI directly:

bash
botsee-pp-cli which "<capability in your own words>"

which resolves a natural-language capability query to the best matching command from this CLI's curated feature index. Exit code 0 means at least one match; exit code 2 means no confident match — fall back to --help or use a narrower query.

Recipes

Audit a new domain end-to-end

bash
botsee-pp-cli ai-visibility-audit example.com --watch --output report.md

Creates the site, generates structure, runs analysis, writes a markdown report. Re-running on the same domain just runs a fresh analysis (no duplicate site).

Preview the cost before running

bash
botsee-pp-cli ai-visibility-audit example.com --estimate-only --agent

Returns predicted credit + USD cost without spending — reads the live /pricing endpoint for current multipliers.

Inspect what's configured for a site

bash
botsee-pp-cli site-config --site "$SITE_UUID" --agent --select customer_types,personas,questions

Returns the nested tree as JSON — agents can walk it to find UUIDs for follow-up personas update / questions delete calls.

Find sources getting cited across every brand

bash
botsee-pp-cli sites-summary --agent --select domain,citation_count,distinct_sites_citing

Cross-site domain authority rollup — impossible via the BotSee API which is per-site only.

Search every LLM response for a competitor mention

bash
botsee-pp-cli search "competitor name" --type responses --limit 20 --agent --select analysis_uuid,model,response_text

FTS5 over every raw LLM response synced locally — narrows the deeply-nested response payload to just the fields agents need.

Auth Setup

BotSee uses Bearer tokens prefixed bts_live_. Set BOTSEE_API_KEY in your environment and the CLI threads it into every authenticated call. Manage keys with api-keys list / create / rotate / reset / delete — reset consumes a one-time token emailed to the account holder if the key was lost. The CLI never logs key values.

Run botsee-pp-cli doctor to verify setup.

Agent Mode

Add --agent to any command. Expands to: --json --compact --no-input --no-color --yes.

  • Pipeable — JSON on stdout, errors on stderr

  • Filterable — --select keeps a subset of fields. Dotted paths descend into nested structures; arrays traverse element-wise. Critical for keeping context small on verbose APIs:

    bash
    botsee-pp-cli account --agent --select id,name,status
  • Previewable — --dry-run shows the request without sending

  • Offline-friendly — sync/search commands can use the local SQLite store when available

  • Non-interactive — never prompts, every input is a flag

  • Explicit retries — use --idempotent only when an already-existing create should count as success, and --ignore-missing only when a missing delete target should count as success

Response envelope

Commands that read from the local store or the API wrap output in a provenance envelope:

json
{
  "meta": {"source": "live" | "local", "synced_at": "...", "reason": "..."},
  "results": <data>
}

Parse .results for data and .meta.source to know whether it's live or local. A human-readable N results (live) summary is printed to stderr only when stdout is a terminal AND no machine-format flag (--json, --csv, --compact, --quiet, --plain, --select) is set — piped/agent consumers and explicit-format runs get pure JSON on stdout.

Agent Feedback

When you (or the agent) notice something off about this CLI, record it:

botsee-pp-cli feedback "the --since flag is inclusive but docs say exclusive"
botsee-pp-cli feedback --stdin < notes.txt
botsee-pp-cli feedback list --json --limit 10

Entries are stored locally at ~/.botsee-pp-cli/feedback.jsonl. They are never POSTed unless BOTSEE_FEEDBACK_ENDPOINT is set AND either --send is passed or BOTSEE_FEEDBACK_AUTO_SEND=true. Default behavior is local-only.

Write what surprised you, not a bug report. Short, specific, one line: that is the part that compounds.

Output Delivery

Every command accepts --deliver <sink>. The output goes to the named sink in addition to (or instead of) stdout, so agents can route command results without hand-piping. Three sinks are supported:

SinkEffect
stdoutDefault; write to stdout only
file:<path>Atomically write output to <path> (tmp + rename)
webhook:<url>POST the output body to the URL (application/json or application/x-ndjson when --compact)

Unknown schemes are refused with a structured error naming the supported set. Webhook failures return non-zero and log the URL + HTTP status on stderr.

Named Profiles

A profile is a saved set of flag values, reused across invocations. Use it when a scheduled agent calls the same command every run with the same configuration - HeyGen's "Beacon" pattern.

botsee-pp-cli profile save briefing --json
botsee-pp-cli --profile briefing account
botsee-pp-cli profile list --json
botsee-pp-cli profile show briefing
botsee-pp-cli profile delete briefing --yes

Explicit flags always win over profile values; profile values win over defaults. agent-context lists all available profiles under available_profiles so introspecting agents discover them at runtime.

Exit Codes

CodeMeaning
0Success
2Usage error (wrong arguments)
3Resource not found
4Authentication required
5API error (upstream issue)
7Rate limited (wait and retry)
10Config error

Argument Parsing

Parse $ARGUMENTS:

  1. Empty, help, or --help → show botsee-pp-cli --help output
  2. Starts with install → ends with mcp → MCP installation; otherwise → see Prerequisites above
  3. Anything else → Direct Use (execute as CLI command with --agent)

MCP Server Installation

Install the MCP binary from this CLI's published public-library entry or pre-built release, then register it:

bash
claude mcp add botsee-pp-mcp -- botsee-pp-mcp

Verify: claude mcp list

Direct Use

  1. Check if installed: which botsee-pp-cli If not found, offer to install (see Prerequisites at the top of this skill).
  2. Match the user query to the best command from the Unique Capabilities and Command Reference above.
  3. Execute with the --agent flag:
    bash
    botsee-pp-cli <command> [subcommand] [args] --agent
  4. If ambiguous, drill into subcommand help: botsee-pp-cli <command> --help.

Frequently asked questions

What does the Pp Botsee AI skill do?

Have your agents measure and improve your brand's AI Visibility with botsee.io. API-first, agent-native. Trigger phrases: `check my AI visibility`, `audit my AI visibility`, `audit example.com`, `what AI is saying about my brand`, `show competitor mentions in ChatGPT`, `run botsee`, `use botsee`, `botsee audit`.

Why use Pp Botsee on TypingMind?

Because you install it once and use it with any model. Pp Botsee is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Pp Botsee in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/mvanhorn/printing-press-library/tree/main/cli-skills/pp-botsee. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Pp Botsee?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Pp Botsee?

As many as you like. As long as a model supports skills, you can use Pp Botsee with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Pp Botsee AI skill free?

Yes. It is published on GitHub by mvanhorn under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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