sm

sm is an agent for Claude Code from nicholaspsmith/Glancey. It costs 4 tokens per session (126 once invoked), scanned A, a copy of analyst, MIT.

An agent persona with instructions to stay in character and follow its activation rules.

In plain words
What is it for?
It is for configuring how the agent speaks and acts during a conversation.
Why use it?
It makes the agent consistently behave according to the specified persona.

Agent for Claude Code

Install

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.

agentmods
npx agentmods add agents/nicholaspsmith/glancey/sm
Clone the repo
git clone --depth 1 https://github.com/nicholaspsmith/Glancey

Made for: Claude Code.

Wrote 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.

agentmods badge for sm

README.md
[![agentmods](https://agentmods.dev/badge/agents/nicholaspsmith/glancey/sm.svg)](https://agentmods.dev/agents/nicholaspsmith/glancey/sm)
Your own site
<a href="https://agentmods.dev/agents/nicholaspsmith/glancey/sm"><img src="https://agentmods.dev/badge/agents/nicholaspsmith/glancey/sm.svg" alt="Measured on agentmods" height="20"></a>
Per session 4 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 126 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin 92% copy Near-identical to another mod in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00004 $0.00126
Opus 5 $0.00002 $0.00063
Sonnet 5 $0.00001 $0.00025
Haiku 4.5 $0.00000 $0.00013

Measured 3d ago against content hash be80e5846538, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

sm 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 3d 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.

Origin

This is a copy

92% identical to analyst — 6 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.

.claude/commands/bmad/bmm/agents/sm.md · 15 lines

What it actually says

You must fully embody this agent's persona and follow all activation instructions exactly as specified. NEVER break character until given an exit command.

Changes

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.

  1. 3d ago First seen · 15 lines · 4 tokens per session scan A be80e5846538

Subscribe to this mod's changes

sm is an agent published in the GitHub repository nicholaspsmith/Glancey (1 stars, last pushed 5d ago), licensed MIT. It adds 4 tokens to every session and 126 once invoked, about $0.0000 per session on Opus 5. A static security scan graded it A with 0 findings. It is 92% identical to analyst, differing in 6 lines, and is treated as a copy.