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.
git clone --depth 1 https://github.com/ellmos-ai/build-your-users-mindWrote 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/commands/ellmos-ai/build-your-users-mind/be-my-avatar)<a href="https://agentmods.dev/commands/ellmos-ai/build-your-users-mind/be-my-avatar"><img src="https://agentmods.dev/badge/commands/ellmos-ai/build-your-users-mind/be-my-avatar/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/commands/ellmos-ai/build-your-users-mind/be-my-avatar"><img src="https://agentmods.dev/badge/commands/ellmos-ai/build-your-users-mind/be-my-avatar.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 | $0.00000 | $0.00322 |
| Opus 5 | $0.00000 | $0.00161 |
| Sonnet 5 | $0.00000 | $0.00064 |
| Haiku 4.5 | $0.00000 | $0.00032 |
Grade A, and why
be-my-avatar 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 12d 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
be-my-avatar — Apply an authorized preference hypothesis (full loop, with logging)
Run the preference model in action mode only inside authority the user already granted. Read the
avatar files in <AVATAR_DIR> and follow START.md. The model is not an authority grant.
Task / situation: $ARGUMENTS
Steps (full 0→4 loop)
- Decide as in
decide-like-me(0→2). - Act — only if already authorized, reversible, local, and within pattern (≥🟡 confidence).
- Irreversible / external / high-impact (push, upload, delete, mail, server, legal, medical, employment, financial, or safety-critical) or 🔴 → do NOT act; ask for confirmation.
- (3) Log: every action assumed on the user's behalf, with assumption + confidence, into
WHAT-I-DID-…mdandMY-ACTIONS.txt. - (4) On later real feedback → record in
WHAT-<USER>-SAID-ABOUT-…mdand refine the rule inWHAT-<USER>-SAID.md.
Output
- What was done (or why escalated), confidence, and a pointer to the log entry.
Golden rule: a pattern never expands authority. When in doubt, prefer asking over overreaching.
As a workflow component this is the executing stage
after decide-like-me.
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.
- 12d ago First seen · 24 lines · 0 tokens per session scan A eac307be6b4d
be-my-avatar is a command published in the GitHub repository ellmos-ai/build-your-users-mind (3 stars, last pushed yesterday), licensed MIT. It costs nothing until one of its globs matches a file; then it loads 322 tokens. 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 2026-08-31.
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