pm-open-questions

pm-open-questions is a skill for Claude Code from ljucask/pureinn-product-development. It costs 180 tokens per session (4,449 once invoked), scanned A, original, MIT.

A central register for unresolved project questions, disagreements between written requirements and code, and concrete blockers. Each entry receives a unique identifier and records the information needed to resolve it.

In plain words
What is it for?
Use it to collect and maintain open questions and decisions across a project. It also records differences between the intended design and the current implementation.
Why use it?
It prevents important unanswered questions from being scattered across documents, roadmaps, reports, and comments. The team can use one place to see what remains undecided.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin. Also seen: mentions CLAUDE.md; mentions subagents; names the AskUserQuestion tool.

Part of the pureinn-product-development plugin — 51 skills, 1 command shipped together

Good fit Use it to collect and maintain open questions and decisions across a project. It also records differences between the intended design and the current implementation.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/ljucask/pureinn-product-development/pm-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 ljucask/pureinn-product-development --skill pm-open-questions
Clone the repo
git clone --depth 1 https://github.com/ljucask/pureinn-product-development

Made for: Claude Code.

Or install pureinn-product-development, the plugin that ships this one along with the rest of its 51 skills, 1 command.

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 pm-open-questions

README.md
[![agentmods](https://agentmods.dev/badge/skills/ljucask/pureinn-product-development/pm-open-questions/github.svg)](https://agentmods.dev/skills/ljucask/pureinn-product-development/pm-open-questions)
Your own site
<a href="https://agentmods.dev/skills/ljucask/pureinn-product-development/pm-open-questions"><img src="https://agentmods.dev/badge/skills/ljucask/pureinn-product-development/pm-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 pm-open-questions

Your own site · 80×15
<a href="https://agentmods.dev/skills/ljucask/pureinn-product-development/pm-open-questions"><img src="https://agentmods.dev/badge/skills/ljucask/pureinn-product-development/pm-open-questions.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 180 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 4,449 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 $0.00180 $0.04449
Opus 5 $0.00090 $0.02225
Sonnet 5 $0.00036 $0.00890
Haiku 4.5 $0.00018 $0.00445

Measured 11d ago against content hash 46df48cacf06, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

pm-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 11d 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.

skills/pm-open-questions/SKILL.md · 335 lines

How it starts

The opening of the file, as written. The whole thing — 335 lines — stays where its author put it; the contents beside it link to each section on GitHub.

PM - Open Questions & Decisions Register

Agent mode (--agent)

Supports --agent: runs autonomously in a subagent, drafts the artifact from existing inputs, and returns a short summary + coverage note.

  • No flag → interactive (default); if inputs are heavy, offer agent mode.
  • --agent → obey. First check inputs are complete. Anything missing: do NOT invent it - mark [ASSUMED - what/why] in the output and summary. Never hallucinate to fill a gap.
  • Review required: the artifact contains commitments (priority, owner, resolution) - after drafting, require the user's review before finalizing; do not close a question autonomously.

What this skill does

Builds and maintains Live Register 5: the Open Questions & Decisions Register (/domain/open_questions.md).

The problem this solves: without one home for open questions, every skill that hits an unresolved item writes it wherever it happens to be working - a PRD section, a roadmap note, a reconcile report, a Notion comment. No one - human or skill - can answer "what are all the open questions on this project" without manually searching five or more places.

The rule: open questions, divergences, and blockers have exactly one home in the whole project. No other artifact (PRD, Roadmap, Feature Cards, reconcile reports) contains one or references its text - anyone looking for open items goes to domain/open_questions.md, always.

Position in the 5-register architecture:

Register File Content
1. Entity & State Registry /domain/entities.md Domain objects + state machines (pm-entity-registry)
2. Business Rules Library /domain/business_rules.md Business rules catalog (pm-business-rules-library)
3. Decision Models Matrix /domain/decision_models.md Decision tables (pm-business-rules-library)
4. FDD Feature List /features/feature_list.md Feature hierarchy + planning (pm-features-list)
5. Open Questions & Decisions /domain/open_questions.md Unresolved questions, divergences, blockers (THIS SKILL)

Read the full file on GitHub · 335 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. 11d ago First seen · 335 lines · 180 tokens per session scan A 46df48cacf06

Subscribe to this mod's changes

pm-open-questions is a skill published in the GitHub repository ljucask/pureinn-product-development (2 stars, last pushed yesterday), licensed MIT. It adds 180 tokens to every session and 4,449 once invoked, about $0.0009 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.

Related

Other skills, from other repositories

ddt-baseline-sync

A skill that imports staffing, work-hour, or project-plan spreadsheets and CSV files into a historical project baseline. A baseline is past project data used to improve future work-hour estimates.

dhslegen/digital-delivery-team · 173 tokens

chief-operating-officer

Owns execution: how work actually gets done across the organization, including process, program management, capacity, vendors, supply chain, and service delivery. Use this when execution is the problem rather than strategy, to design or fix a process, to resolve cross-functional handoff failures, to plan capacity, to…

cbrock84/headcount · 94 tokens

customer-success-management

Runs the ongoing relationship with accounts after the sale — segmenting coverage against account value, building a health score that predicts rather than describes, running reviews customers find worth attending, forecasting renewals honestly, and finding expansion that follows usage instead of quota. Use this to…

cbrock84/headcount · 85 tokens

chief-information-officer

The CIO's remit — running the technology the company works on, service quality, IT spend, and the boundary with product engineering. Use this to set IT priorities, decide what IT owns versus engineering, structure IT spend or an IT roadmap, judge whether to build, buy or outsource, or work out why IT is seen as a cost…

cbrock84/headcount · 79 tokens

service-desk

Runs the IT service desk — intake, triage, prioritization, escalation, knowledge, and the metrics that improve service rather than distort it. Use this to set up or fix a service desk, design ticket priority and escalation, reduce repeat contacts, structure a knowledge base, or work out why a desk hitting its targets…

cbrock84/headcount · 73 tokens

chief-content-officer

Runs content as an operation — the production pipeline, editorial calendar, repurposing engine, competitive content intelligence, and audits of what already exists. Use this to build or fix a content production system, plan a calendar, decide how one piece becomes many, rank content ideas by expected impact, or audit…

cbrock84/headcount · 95 tokens