recommend-all-open-questions

recommend-all-open-questions is a skill for Claude Code from uHappyLogic/cairn. It costs 27 tokens per session (5,065 once invoked), scanned A, original, MIT.

A batch workflow for reviewing unresolved questions in the current milestone and adding recommendations without recording decisions.

In plain words
What is it for?
Use it to scan a milestone's requirements, generate read-only recommendations for open or deferred questions, and annotate those questions in place.
Why use it?
It gives each open question possible options and one suggested choice, so the project team can evaluate them more quickly.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions subagents; mentions Claude Code; installed under .agents/ (shared by several agents).

Part of the cairn plugin — 22 skills, 3 agents shipped together

Good fit Use it to scan a milestone's requirements, generate read-only recommendations for open or deferred questions, and annotate those questions in place.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/uhappylogic/cairn/recommend-all-open-questions
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.

Any agent
npx skills add uHappyLogic/cairn --skill recommend-all-open-questions
Clone the repo
git clone --depth 1 https://github.com/uHappyLogic/cairn

Made for: Claude Code.

Or install cairn, the plugin that ships this one along with the rest of its 22 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-all-open-questions

README.md
[![agentmods](https://agentmods.dev/badge/skills/uhappylogic/cairn/recommend-all-open-questions/github.svg)](https://agentmods.dev/skills/uhappylogic/cairn/recommend-all-open-questions)
Your own site
<a href="https://agentmods.dev/skills/uhappylogic/cairn/recommend-all-open-questions"><img src="https://agentmods.dev/badge/skills/uhappylogic/cairn/recommend-all-open-questions/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.

agentmods 80×15 button for recommend-all-open-questions

Your own site · 80×15
<a href="https://agentmods.dev/skills/uhappylogic/cairn/recommend-all-open-questions"><img src="https://agentmods.dev/badge/skills/uhappylogic/cairn/recommend-all-open-questions.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 27 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 5,065 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 $0.00027 $0.05065
Opus 5 $0.00014 $0.02533
Sonnet 5 $0.00005 $0.01013
Haiku 4.5 $0.00003 $0.00507

Measured today against content hash 6e0e616bd8de, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

recommend-all-open-questions 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/skills/recommend-all-open-questions/SKILL.md · 340 lines

How it starts

The opening of the file, as written. The whole thing — 340 lines — stays where its author put it; the contents beside it link to each section on GitHub.

recommend-all-open-questions

This is the non-interactive batch path for producing recommendations on open questions. It walks every open and deferred question in the current milestone most-significant-first, strictly one at a time, and, per question, dispatches a read-only subagent — the non-interactive twin of /discuss-open-question — that returns alternatives + a single recommendation as the <open-question> block's XML sub-elements. The orchestrator is the sole document mutator: it embeds each returned set of sub-elements inside the existing <open-question> block before dispatching the next question, leaving the block's <open-question …> / </open-question> boundary tags and its <question> element untouched, so every later recommendation may build on the sibling recommendations already embedded and declares each such use as a <depends-on question="…" option="…"/> child of its block. It is argument-free, records no decisions, and triggers no cascades — it only annotates. Each embedded recommendation is consumed later, when it is recorded as an answer, by /answer-open-question-with-recommendation or the /answer-all-open-questions-with-recommendation sweep.

Usage

/recommend-all-open-questions

Takes no arguments — it sweeps every <open-question> block (both status="open" and status="deferred") in the current milestone's requirements.md.

Workflow

0. Find the current milestone

Follow .agents/plugins/cairn/shared/get-current-milestone.md to resolve <MILESTONE_DIR>. Never use a hardcoded path.

1. Gather the questions once

Fetch the open/deferred set with the line-oriented boundary-line CLI. Every <open-question> block lives under the single ## Open questions section of <MILESTONE_DIR>/requirements.md, so that section is the one bounded region the CLI slices deterministically. Using awk/sed/grep keyed on the <open-question …> opening and </open-question> closing boundary lines — never a real XML processor (xmllint) — enumerate every block in document order and, for each, extract its id and status (by attribute-name-anchored regex like id="([^"]*)" and status="([^"]*)", so extraction is independent of attribute order) and its <question> text. Open and deferred blocks share one <open-question …> / </open-question> boundary-token pair distinguished only by status, so the gather ignores type — it lists them all. If there are none, say so and stop.

Read the full file on GitHub · 340 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 · +51 lines 6e0e616bd8de
  2. 2d ago Changed · +98 lines 405d58172b63
  3. 4d ago Changed · +28 lines 73087a4213a2
  4. 6d ago Changed · -52 lines · -147 tokens per session ffa0c66aadb1
  5. 11d ago First seen · 215 lines · 174 tokens per session scan A 5de2fd46f23c

Subscribe to this mod's changes

recommend-all-open-questions is a skill published in the GitHub repository uHappyLogic/cairn (2 stars, last pushed today), licensed MIT. It adds 27 tokens to every session and 5,065 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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