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/shakerdesigns/read-the-roomWrote 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/shakerdesigns/read-the-room/readroom)<a href="https://agentmods.dev/commands/shakerdesigns/read-the-room/readroom"><img src="https://agentmods.dev/badge/commands/shakerdesigns/read-the-room/readroom.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 | $0.00043 | $0.00430 |
| Opus 5 | $0.00022 | $0.00215 |
| Sonnet 5 | $0.00009 | $0.00086 |
| Haiku 4.5 | $0.00004 | $0.00043 |
Grade A, and why
readroom 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 7d 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
You're helping the user assess whether someone is in a receptive state (C-states) or defensive state (T-states).
Ask: "Describe the person and your recent interactions — how have they been acting? What's their tone or body language like? Are they under any particular pressure?"
Assess Against the States
C-States (Receptive) — Ready for Analytical:
- Calm: Relaxed, measured responses
- Curious: Asking questions, leaning in
- Courageous: Open to hard truths
- Confident: Secure, not defensive
- Connected: Engaged, eye contact
- Creative: Open to new ideas
- Compassionate: Considering others
- Clear: Focused, not overwhelmed
T-States (Defensive) — Need Validation First:
- Testy: Irritable, short responses
- Tense: Tight body language, crossed arms
- Tired: Low energy, checked out
- Triggered: Emotional, raised voice
- Timid: Hesitant, avoiding eye contact
- Threatened: Defensive, protecting position
- Tormented: Visibly stressed
- Troubled: Distracted, preoccupied
Provide Your Assessment
Based on their description, identify which states are present and recommend:
Mostly C-states (4+):
"They sound receptive. Lead with your analytical points using the SCR Framework. Use /analyze if you want help structuring your message."
Any T-states (2+):
"They sound defensive. Validate them first using Imago Dialogue before presenting your case. Use /validate to prepare, then transition to /analyze once they've shifted."
Mixed signals: "It's borderline. Open with a light validation check — mirror what you're sensing — and watch their response. If they relax, go analytical. If they stay guarded, continue validating."
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.
- 7d ago First seen · 44 lines · 43 tokens per session scan A 6e6bf8221614
readroom is a command published in the GitHub repository shakerdesigns/read-the-room (18 stars, last pushed 6mo ago), licensed MIT. It adds 43 tokens to every session and 430 once invoked, about $0.0002 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.
Other commands, from other repositories
cancel-ralph
Cancel active Ralph Loop.
obsidian-recap
Summarize a time period from the vault - today, week, or month.
setup-pm-skills
Onboard a new user — find out what they do, recommend the right bundles & top skills, and set up a project CONTEXT.md so every skill is tailored to them.
statusbar-style
Switch the status-bar style (classic / capsule / hairline).
engage.actions
Execute Phase 7 - Actions on Objectives and Goal Achievement.
superpowers-execute
Execute the current GSD phase plan with Superpowers instead of gsd-execute-phase.