validating-problems

A method for checking whether a customer or business problem is real and clearly defined before choosing a solution. It keeps each claim tied to supporting evidence.

In plain words
What is it for?
Use it to investigate customer problems, gather and assess evidence, sharpen a problem statement, and explain what is known, uncertain, and worth checking next.
Why use it?
It helps teams avoid prioritising work or writing a product requirements document (PRD) around assumptions. It also keeps problem research separate from judging solutions or deciding what to build first.

Skill for Claude CodeCodex

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/rohitgehe05/mindpowers/validating-problems
Any agent
npx skills add rohitgehe05/mindpowers --skill validating-problems
Clone the repo
git clone --depth 1 https://github.com/rohitgehe05/mindpowers

Made for: Claude Code, Codex.

Per session 41 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 2,555 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 $0.00041 $0.02555
Opus 5 $0.00020 $0.01277
Sonnet 5 $0.00008 $0.00511
Haiku 4.5 $0.00004 $0.00255

Measured 2d ago against content hash 11531a44dea4, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

validating-problems 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 2d 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/validating-problems/SKILL.md · 214 lines

How it starts

The opening of the file, as written. The whole thing — 214 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Validating problems

Overview

Determine what can defensibly be said about a customer or business problem before a team pitches a direction, prioritises work, or writes a PRD. Produce a scoped, solution-free problem definition whose claims remain traceable to evidence.

Keep problem validation separate from prioritisation and solution validation. Remain useful when evidence is incomplete without lowering the standard for calling a claim supported.

Explain the conclusion plainly

Think precisely and respond in common words. Keep the detailed assessment in the claim and evidence ledgers; do not dump that machinery into the conversation or present it as a scorecard.

For a material user-facing conclusion, give a compact reasoning receipt:

  1. lead with the conclusion or recommendation;
  2. say what evidence you checked and the main reasons;
  3. state the important uncertainty; and
  4. give one next step, ending with one concrete question when a response is needed.

Use internal status and schema terms only when they help the user act. Explain an unavoidable technical term on first use. When a rule could be misunderstood, give one short example. If the user says the explanation is unclear, explain again from scratch rather than defining the same jargon with more jargon.

Bound the decision

Establish or infer these boundaries before evaluating the problem:

  • decision_to_inform: Name the decision this work will support.
  • desired_outcome: Name the customer or business condition that should improve.
  • scope: Bound the exact users, workflow, context, and time period covered.
  • out_of_scope: Exclude prioritisation, solution selection, and any other adjacent decision not being tested.

Do not force the user to restate a boundary already present in the conversation or available evidence. Narrow the claim when the evidence covers less than the proposed scope.

Inspect before asking

Inspect relevant conversation context, linked workspace files, research, analytics summaries, support material, and previous problem briefs before asking a question. Cite each inspected source or path in the evidence ledger. Never ask the user to transcribe evidence that can be accessed safely.

Read the full file on GitHub · 214 lines

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. 2d ago First seen · 214 lines · 41 tokens per session scan A 11531a44dea4

Subscribe to this mod's changes

validating-problems is a skill published in the GitHub repository rohitgehe05/mindpowers (5 stars, last pushed 24d ago), licensed MIT. It adds 41 tokens to every session and 2,555 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 2026-08-31.

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