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.
npx skills add getcrew44/crew44 --skill problem-statementgit clone --depth 1 https://github.com/getcrew44/crew44Wrote 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.
[](https://agentmods.dev/skills/getcrew44/crew44/problem-statement)<a href="https://agentmods.dev/skills/getcrew44/crew44/problem-statement"><img src="https://agentmods.dev/badge/skills/getcrew44/crew44/problem-statement/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.
<a href="https://agentmods.dev/skills/getcrew44/crew44/problem-statement"><img src="https://agentmods.dev/badge/skills/getcrew44/crew44/problem-statement.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 8 findings, up to medium
These are SkillSpector’s own severities. On a checked sample its high-severity flags on skills were ~96% false positives — a documented command, a public API, a “never do X” rule — so we show them as a caution to read, not a verdict. Why →
- medium Agent Snooping · line 67 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
- medium Agent Snooping · line 225 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
- medium Agent Snooping · line 246 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
- medium Agent Snooping · line 68 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
- medium Agent Snooping · line 226 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
- medium Agent Snooping · line 246 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
- medium Agent Snooping · line 227 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
- medium Agent Snooping · line 228 Skill enumerates or reads other installed skills. Access to other skills' SKILL.md files or the skills directory reveals prompt instructions, capabilities, and secrets that should be invisible to peer skills.Fix: Remove all code or instructions that list or read other skills' files or directories. Skills should operate independently; cross-skill access is a privilege escalation.
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.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00044 | $0.02184 |
| Opus 5.5 | $0.00018 | $0.00874 |
| Sonnet 5.5 | $0.00009 | $0.00437 |
| Haiku 4.5 | $0.00004 | $0.00218 |
Grade A, and why
problem-statement 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 1mo 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.
Copies of this mod
1 near-identical copy found in the catalogue:
- problem-statement — 98% identical, 3 lines differ
How it starts
The opening of the file, as written. The whole thing — 247 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Purpose
Articulate a problem from the user's perspective using an empathy-driven framework that captures who they are, what they're trying to do, what's blocking them, why, and how it makes them feel. Use this to align stakeholders on the problem before jumping to solutions, and to frame product work around user outcomes rather than feature requests.
This is not a requirements doc—it's a human-centered problem narrative that ensures you're solving a problem worth solving.
Key Concepts
The Problem Framing Framework
Based on Jobs-to-be-Done and empathy mapping, the framework structures problems as:
Problem Framing Narrative:
- I am: [Describe the persona experiencing the problem]
- Trying to: [Desired outcomes the persona cares about]
- But: [Barriers preventing the outcomes]
- Because: [Root cause of the problem]
- Which makes me feel: [Emotional impact]
Context & Constraints:
- [Geographic, technological, time-based, demographic factors]
Final Problem Statement:
- [Single, concise, empathetic summary]
Why This Structure Works
- Persona-centric: Forces you to see the problem through the user's eyes
- Outcome-focused: "Trying to" emphasizes desired results, not tasks
- Root cause analysis: "Because" pushes past symptoms to underlying issues
- Emotional validation: "Makes me feel" humanizes the problem and builds empathy
- Contextual: Constraints acknowledge real-world limitations
Anti-Patterns (What This Is NOT)
- Not a solution in disguise: "The problem is we lack AI-powered analytics" = sneaking in a solution
- Not a business problem: "Our revenue is down" isn't a user problem (it's a symptom)
- Not a feature request: "Users need a dashboard" isn't a problem (what are they trying to do?)
- Not generic: "Users want better UX" is too vague to be actionable
When to Use This
- Kicking off discovery or problem validation work
- Aligning stakeholders before solutioning
- Socializing a problem with engineering, design, or exec teams
- When you have feature requests but unclear underlying problems
- Pitching why a problem is worth solving
What ships with it
2 files 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.
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.
- 1mo ago First seen · 247 lines · 44 tokens per session scan A b7cfbb259e1d
problem-statement is a skill published in the GitHub repository getcrew44/crew44 (356 stars, last pushed 4mo ago), licensed MIT. It adds 44 tokens to every session and 2,184 once invoked, about $0.0002 per session on Opus 5.5. 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 2026-08-30.
Other skills, from other repositories
eval-dataset-design
A guide to creating reliable test sets for AI agents. Each evaluation task includes the request, the simulated user's behaviour, a reset starting state, and a success check that can be independently verified.
memory-system
A guide to giving an AI agent persistent, user-specific memory across conversations. It covers what to remember, how to store it, how to update or compress it, and when to use memory instead of a shared knowledge base.
feishu
Work with Feishu or Lark bots, docs, sheets, bitables, approval flows, and OpenAPI/MCP setup without hardcoding credentials.
verify
Exercise the real app/API/CLI and collect observable evidence; tests alone do not count as end-to-end verification.
writing
A writing guide for turning verified facts and calculations into finished text for a specific audience. It follows the requested language, structure, and length.
brainstorming
You MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.