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 agentmods add skills/trpc-group/trpc-agent-go/skill_findnpx skills add trpc-group/trpc-agent-go --skill skill_findgit 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/skill_find)<a href="https://agentmods.dev/skills/trpc-group/trpc-agent-go/skill_find"><img src="https://agentmods.dev/badge/skills/trpc-group/trpc-agent-go/skill_find.svg" alt="Measured on agentmods" 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 | $0.00019 | $0.00313 |
| Opus 5 | $0.00010 | $0.00156 |
| Sonnet 5 | $0.00004 | $0.00063 |
| Haiku 4.5 | $0.00002 | $0.00031 |
Grade A, and why
skill-find 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 6d 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.
What it actually says
Overview
Use this skill when the user wants a new public Agent Skill that is not already installed.
Workflow
-
Search GitHub pages with
web_search. Prefer queries that mentionSKILL.md, the requested topic, andsite:github.com. -
Pick a result that clearly points to a GitHub skill directory or a
SKILL.mdpage. -
Call
skill_install_githubwith that GitHub URL. -
Read the tool result carefully. It returns the exact
skill_namethat was installed and may also includeinstalled_files. -
Immediately call
skill_loadwith the returnedskill_name. -
Only if local execution is explicitly enabled for this demo and the user asked for a runnable demo, follow the installed skill docs and use
skill_run. -
If the docs are brief, use
installed_filesto avoid guessing. Prefer obvious entrypoint files such asrun.shor scripts underscripts/.
Rules
- Prefer small public skills with a clear
SKILL.md. - Prefer GitHub results that point directly to a skill, not a repo home page.
- Tell the user which skill you installed and where it came from.
- Never run downloaded code automatically.
- If installation fails, explain the failure briefly and try another candidate.
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.
- 6d ago First seen · 45 lines · 19 tokens per session scan A 50e539681e0a
skill-find is a skill published in the GitHub repository trpc-group/trpc-agent-go (1,763 stars, last pushed today), licensed Apache-2.0. It adds 19 tokens to every session and 313 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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