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 gyanranjan/polyagent-skills --skill requirement-studygit clone --depth 1 https://github.com/gyanranjan/polyagent-skillsWrote 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/gyanranjan/polyagent-skills/requirement-study)<a href="https://agentmods.dev/skills/gyanranjan/polyagent-skills/requirement-study"><img src="https://agentmods.dev/badge/skills/gyanranjan/polyagent-skills/requirement-study/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/gyanranjan/polyagent-skills/requirement-study"><img src="https://agentmods.dev/badge/skills/gyanranjan/polyagent-skills/requirement-study.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00085 | $0.01839 |
| Opus 5 | $0.00043 | $0.00920 |
| Sonnet 5 | $0.00017 | $0.00368 |
| Haiku 4.5 | $0.00009 | $0.00184 |
Grade A, and why
requirement-study 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 8d 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.
How it starts
The opening of the file, as written. The whole thing — 208 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Requirement Study
Purpose
Transform any input (rough notes, conversation transcripts, feature requests, existing documents) into structured, actionable software requirements. Produces a requirements document that any development team can use to plan and build.
When to Use
- User asks to "study requirements" or "analyze requirements"
- User provides rough notes/ideas and wants them formalized
- User asks for a PRD (Product Requirements Document)
- User wants to extract requirements from an existing document
- User asks "what do we need to build for X?"
- User wants to validate completeness of existing requirements
When NOT to Use
- User wants implementation details (use
implementation-sketchinstead) - User wants a presentation (use
deck-creatorinstead) - User is asking about deployment/ops (use
remote-opsinstead)
Inputs
Required:
- Source material — the raw input to derive requirements from (document, notes, conversation, or verbal description)
Optional:
- Target audience — who will read this requirements doc?
- Scope constraints — any known boundaries or limitations
- Existing requirements — if this is a refinement of existing work
- Template preference — if the user's org has a standard format
Process
Step 1: Preflight Tooling Check
Run a non-blocking Mermaid check for future diagram generation:
if command -v mmdc >/dev/null 2>&1; then
mmdc --version
else
echo "mmdc not installed; continue with text/Markdown diagrams and add TODO entry"
fi
If mmdc is missing, add a task to agent.todo.md under Next or Blocked.
Interaction Protocol (Mandatory)
For all substantive responses while running this skill:
- Include
Stage: Gx <name>andNext: <immediate next step> - At each gate transition, ask 2-4 decision-oriented questions before advancing
- Challenge weak assumptions and propose stronger alternatives with rationale
Step 2: Understand the Domain
Read the source material completely. Identify:
- The domain/industry context
- Key stakeholders mentioned
- The problem being solved
- Any existing system or process being replaced/enhanced
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.
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.
- 8d ago First seen · 208 lines · 85 tokens per session scan A 4dab9ad0e696
requirement-study is a skill published in the GitHub repository gyanranjan/polyagent-skills (2 stars, last pushed 6mo ago), licensed MIT. It adds 85 tokens to every session and 1,839 once invoked, about $0.0004 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.
Other skills, from other repositories
product-frameworks
Product management frameworks for business cases, market analysis, strategy, prioritization, OKRs/KPIs, personas, requirements, and user research. Use when building ROI projections, competitive analysis, RICE scoring, OKR trees, user personas, PRDs, or usability testing plans.
Requirements Clarity & Acceptance Criteria
Ensure requirement docs define scope, terminology, acceptance criteria, edge cases, and non-functional requirements.
prd-authoring
Standard for authoring product PRDs in docs/prd/: state the problem, users, requirements, and success; assign PRD-{AREA}-{NN} IDs; link down to specs.
requirements-analysis
Use this skill to analyze, structure, and document ambiguous or incomplete requirements before any design or implementation work begins. Activates when the human has described a feature, task, or problem that needs to be built, but the requirements are not yet fully specified or structured.
pm-spec
A product requirements document template covering the problem, success measures, scope, user stories, design notes, rollout, and open questions.
project-specification
Transforms project briefs into testable specifications with user stories and acceptance criteria. Use after brainstorming, before planning.