A cold-start wizard that asks seven questions and creates a learner profile from the answers. A learner profile is stored context about how someone learns and what support they need.

Use it when a learner is new or wants to create their profile. It updates learner context but does not edit the Companion brain.

It gives learning features initial context instead of making them start without knowing the learner.

profile — Command by grcengineering

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 commands/grcengineering/companion/profile

Clone the repo

git clone --depth 1 https://github.com/grcengineering/companion

Per session 10 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.

When invoked 154 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. Scan, not verified.

Origin original No closer match found 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.

Model	Per session	Once invoked
Fable 5	$0.00010	$0.00154
Opus 5	$0.00005	$0.00077
Sonnet 5	$0.00002	$0.00031
Haiku 4.5	$0.00001	$0.00015

Measured 2d ago against content hash 871e531005bd, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

profile 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 2d 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.

commands/profile.md · 26 lines

What it actually says

Profile Wizard Command

Use when the learner is new or wants to seed their learner profile.

Flow

Ask the seven voice-friendly intake prompts from skills/profile-wizard/SKILL.md.
Structure the answers into profile/learner-profile.schema.json.
Summarize what was heard.
Ask what is wrong or missing before using the profile.

Boundary

This command updates learner context only. It never edits the Companion brain.

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.

2d ago First seen · 26 lines · 10 tokens per session scan A 871e531005bd

Subscribe to this mod's changes

profile is a command published in the GitHub repository grcengineering/companion (32 stars, last pushed 3mo ago), licensed MIT. It adds 10 tokens to every session and 154 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.

compliance grc grc-engineering

profile

Getting it into your agent

What it costs to keep this loaded

Grade A, and why

Nothing flagged

What it actually says

Profile Wizard Command

Flow

Boundary

What this file has done since we first saw it

Other commands, from other repositories

health

evidence-examples

control-requirements

list-controls

compare-versions

control-coverage