tRPC-Agent-Go is a Go framework for building AI agent applications with language models, graph-based workflows, tools, memory, retrieval, evaluation, and observability. Go developers use it to create deployable agent systems that can integrate with A2A, AG-UI, and MCP. The catalogue add-ons provide reusable workflows and agent integrations for the framework.
Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add trpc-group/trpc-agent-go --skill peekaboogit clone --depth 1 https://github.com/trpc-group/trpc-agent-goWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/trpc-group/trpc-agent-go/peekaboo)<a href="https://agentmods.dev/skills/trpc-group/trpc-agent-go/peekaboo"><img src="https://agentmods.dev/badge/skills/trpc-group/trpc-agent-go/peekaboo/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/trpc-group/trpc-agent-go/peekaboo"><img src="https://agentmods.dev/badge/skills/trpc-group/trpc-agent-go/peekaboo.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00017 | $0.01656 |
| Opus 5 | $0.00009 | $0.00828 |
| Sonnet 5 | $0.00003 | $0.00331 |
| Haiku 4.5 | $0.00002 | $0.00166 |
Grade A, and why
peekaboo scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 9d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
This is a copy
100% identical to peekaboo — 0 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 191 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Peekaboo
Peekaboo is a full macOS UI automation CLI: capture/inspect screens, target UI
elements, drive input, and manage apps/windows/menus. Commands share a snapshot
cache and support --json/-j for scripting. Run peekaboo or
peekaboo <cmd> --help for flags; peekaboo --version prints build metadata.
Tip: run via polter peekaboo to ensure fresh builds.
Features (all CLI capabilities, excluding agent/MCP)
Core
bridge: inspect Peekaboo Bridge host connectivitycapture: live capture or video ingest + frame extractionclean: prune snapshot cache and temp filesconfig: init/show/edit/validate, providers, models, credentialsimage: capture screenshots (screen/window/menu bar regions)learn: print the full agent guide + tool cataloglist: apps, windows, screens, menubar, permissionspermissions: check Screen Recording/Accessibility statusrun: execute.peekaboo.jsonscriptssleep: pause execution for a durationtools: list available tools with filtering/display options
Interaction
click: target by ID/query/coords with smart waitsdrag: drag & drop across elements/coords/Dockhotkey: modifier combos likecmd,shift,tmove: cursor positioning with optional smoothingpaste: set clipboard -> paste -> restorepress: special-key sequences with repeatsscroll: directional scrolling (targeted + smooth)swipe: gesture-style drags between targetstype: text + control keys (--clear, delays)
System
app: launch/quit/relaunch/hide/unhide/switch/list appsclipboard: read/write clipboard (text/images/files)dialog: click/input/file/dismiss/list system dialogsdock: launch/right-click/hide/show/list Dock itemsmenu: click/list application menus + menu extrasmenubar: list/click status bar itemsopen: enhancedopenwith app targeting + JSON payloadsspace: list/switch/move-window (Spaces)visualizer: exercise Peekaboo visual feedback animationswindow: close/minimize/maximize/move/resize/focus/list
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 9d ago First seen · 191 lines · 17 tokens per session scan A bb06f126ec6c
peekaboo is a skill published in the GitHub repository trpc-group/trpc-agent-go (1,770 stars, last pushed today), licensed Apache-2.0. It adds 17 tokens to every session and 1,656 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to peekaboo, differing in 0 lines, and is treated as a copy.
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