thinkroom-trigger

thinkroom-trigger is a skill for Codex from phenomenoner/ai-agent-thinkroom. It costs 10 tokens per session (378 once invoked), scanned A, original, MIT.

A decision guide for deciding whether a question should be sent to Thinkroom, a research process that gathers independent views and traceable evidence.

In plain words
What is it for?
Use it for architecture choices, product strategy, investment analysis, incident investigation, policy trade-offs, due diligence, and research synthesis.
Why use it?
It helps avoid using a lengthy research process for simple questions while identifying decisions where uncertainty, consequences, and verification make deeper research worthwhile.

Skill for Codex

Written for Codex: agents/openai.yaml present.

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 skills/phenomenoner/ai-agent-thinkroom/thinkroom-trigger
Any agent
npx skills add phenomenoner/ai-agent-thinkroom --skill thinkroom-trigger
Clone the repo
git clone --depth 1 https://github.com/phenomenoner/ai-agent-thinkroom

Made for: Codex.

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 thinkroom-trigger

README.md
[![agentmods](https://agentmods.dev/badge/skills/phenomenoner/ai-agent-thinkroom/thinkroom-trigger.svg)](https://agentmods.dev/skills/phenomenoner/ai-agent-thinkroom/thinkroom-trigger)
Your own site
<a href="https://agentmods.dev/skills/phenomenoner/ai-agent-thinkroom/thinkroom-trigger"><img src="https://agentmods.dev/badge/skills/phenomenoner/ai-agent-thinkroom/thinkroom-trigger.svg" alt="Measured on agentmods" height="20"></a>
Per session 10 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 378 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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00010 $0.00378
Opus 5 $0.00005 $0.00189
Sonnet 5 $0.00002 $0.00076
Haiku 4.5 $0.00001 $0.00038

Measured yesterday against content hash ecf9c1bd205d, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-06, from the pricing page.

Security

Grade A, and why

thinkroom-trigger 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 yesterday.

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.

src/thinkroom/bundled_skills/thinkroom-trigger/SKILL.md · 45 lines

What it actually says

Thinkroom trigger

Use this skill to decide whether a question deserves a Thinkroom research job.

Invoke Thinkroom when

All of these are true:

  1. The outcome matters. A shallow answer could lead to a costly, hard-to-reverse, or strategically important decision.
  2. The answer is genuinely uncertain. There are competing hypotheses, interpretations, designs, or risk models.
  3. Independent perspectives add value. The question benefits from branches that form views without seeing sibling outputs.
  4. Traceability matters. The user needs evidence, provenance, verification status, dissent, or an auditable synthesis.

Typical examples include architecture choices, product strategy, investment theses, incident hypotheses, policy trade-offs, due diligence, and research synthesis.

Do not invoke Thinkroom when

  • the task is a trivial lookup, deterministic calculation, simple rewrite, or direct file/tool operation;
  • one authoritative source or one bounded verification can settle the question;
  • the user needs execution rather than research;
  • additional perspectives would add latency but no meaningful discrimination.

Handoff

When the trigger passes:

  1. Load thinkroom-operate.
  2. Frame one explicit question plus only the context every branch should share.
  3. Choose the smallest branch count that covers distinct hypotheses; the default is three.
  4. Submit with an idempotency key when retries are possible.
  5. Treat evidence verification status as authoritative and preserve unresolved dissent.

Thinkroom supports decisions; it does not replace live verification, domain authority, or approval for external effects.

Files

What ships with it

1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. yesterday Changed · +1 lines ecf9c1bd205d
  2. 6d ago First seen · 44 lines · 10 tokens per session scan A a1debe46591c

Subscribe to this mod's changes

thinkroom-trigger is a skill published in the GitHub repository phenomenoner/ai-agent-thinkroom (2 stars, last pushed 2d ago), licensed MIT. It adds 10 tokens to every session and 378 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 2026-08-31.