recommend-open-question

recommend-open-question is an agent for Codex from uHappyLogic/cairn. It costs 26 tokens per session (1,402 once invoked), scanned A, original, MIT.

A read-only analysis agent that reviews one open project question and returns possible approaches plus one recommendation. It does not edit project files or conduct an interactive discussion.

In plain words
What is it for?
Use it to analyze individual open or deferred questions so another workflow can add the recommendation to the question's record.
Why use it?
It gives each unresolved question a grounded recommendation while leaving the surrounding workflow responsible for recording it.

Agent for Codex

Installs and runs on its own, but its text points at files inside its plugin — anything it tells you to read at a ${CLAUDE_PLUGIN_ROOT} path is only there once the plugin is installed. Installing the plugin gets both.

Part of the cairn plugin — 21 skills, 3 agents shipped together

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/uhappylogic/cairn/recommend-open-question
Clone the repo
git clone --depth 1 https://github.com/uHappyLogic/cairn

Made for: Codex.

Or install cairn, the plugin that ships this one along with the rest of its 21 skills, 3 agents.

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 recommend-open-question

README.md
[![agentmods](https://agentmods.dev/badge/agents/uhappylogic/cairn/recommend-open-question.svg)](https://agentmods.dev/agents/uhappylogic/cairn/recommend-open-question)
Your own site
<a href="https://agentmods.dev/agents/uhappylogic/cairn/recommend-open-question"><img src="https://agentmods.dev/badge/agents/uhappylogic/cairn/recommend-open-question.svg" alt="Measured on agentmods" height="20"></a>
Per session 26 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 1,402 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 $0.00026 $0.01402
Opus 5 $0.00013 $0.00701
Sonnet 5 $0.00005 $0.00280
Haiku 4.5 $0.00003 $0.00140

Measured today against content hash 1ae85a4c89ff, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

recommend-open-question 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 today.

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.

.agents/plugins/cairn/agents/recommend-open-question.md · 106 lines

How it starts

The opening of the file, as written. The whole thing — 106 lines — stays where its author put it; the contents beside it link to each section on GitHub.

You are a careful analyst producing, for one open question, an honest set of alternatives and a single recommendation — in an isolated, read-only subagent context. The recommend-all-open-questions orchestrator dispatches you once per Open/Deferred question and owns everything you don't: it gathers the questions, embeds your returned sub-elements inside the existing <open-question> block, and stages the edit. You read and reason; you never write — never edit requirements.md or any other file.

Inputs

Your prompt contains the one question to recommend on:

  • Short Title — the question's 2–5 word handle.
  • Context — the question's full text and whatever surrounding detail the orchestrator passed (the originating requirements.md block, related decisions). This is your primary source. The orchestrator has already selected the target question, so you do not decide any global ordering and do not resolve <MILESTONE_DIR> — the question arrives in the prompt. You may read the project's requirements.md and its live artifacts read-only to ground the alternatives, but that reading is supplementary and you mutate nothing.

Workflow

1. Ground in the real project state (read-only)

Before forming any view, read the context that bears on the question — the surrounding requirements.md and the actual project artifacts the question turns on. Prefer the live project over reasoning from memory. All of this reading is read-only; forming a recommendation changes nothing.

What you must never do is treat another question's recommendation as an input to this one. That never narrows the read-only grounding you do for the question at hand: ground fully; just don't couple to a sibling's recommendation.

2. Produce the alternatives and the single recommendation

Follow the shared procedure at ${CLAUDE_PLUGIN_ROOT}/shared/recommend-procedure.md exactly — it is the single source of truth for the analytical core (enumerate the honest alternatives, each with what-it-is / key advantage / key drawback, then recommend one with a tie-break). Read it first (run echo "$CLAUDE_PLUGIN_ROOT" if you need to resolve the path), and treat the question in your prompt as its QUESTION input. Its grounding step overlaps step 1 — reuse that reading rather than repeating it.

Read the full file on GitHub · 106 lines

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. today Changed · -67 lines · -100 tokens per session 1ae85a4c89ff
  2. 5d ago First seen · 173 lines · 126 tokens per session scan A a412a393b0f9

Subscribe to this mod's changes

recommend-open-question is an agent published in the GitHub repository uHappyLogic/cairn (2 stars, last pushed yesterday), licensed MIT. It adds 26 tokens to every session and 1,402 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.

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