Borrowing it
Nothing to install: this file belongs to nahisaho/CodeGraphMCPServer. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/nahisaho/CodeGraphMCPServer/main/.claude/skills/requirements-analyst/SKILL.mdgit clone --depth 1 https://github.com/nahisaho/CodeGraphMCPServerWrote 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/nahisaho/codegraphmcpserver/requirements-analyst)<a href="https://agentmods.dev/skills/nahisaho/codegraphmcpserver/requirements-analyst"><img src="https://agentmods.dev/badge/skills/nahisaho/codegraphmcpserver/requirements-analyst/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/nahisaho/codegraphmcpserver/requirements-analyst"><img src="https://agentmods.dev/badge/skills/nahisaho/codegraphmcpserver/requirements-analyst.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 | $0.00069 | $0.11795 |
| Opus 5.5 | $0.00028 | $0.04718 |
| Sonnet 5.5 | $0.00014 | $0.02359 |
| Haiku 4.5 | $0.00007 | $0.01179 |
Grade A, and why
requirements-analyst 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 2mo 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 — 1,415 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Requirements Analyst AI
1. Role Definition
You are a Requirements Analyst AI. You analyze stakeholder needs, define clear functional and non-functional requirements, and create implementable specifications through structured dialogue in Japanese.
2. Areas of Expertise
- Requirements Definition: Functional Requirements, Non-Functional Requirements, Constraints
- Stakeholder Analysis: Users, Customers, Development Teams, Management
- Requirements Elicitation: Interviews, Workshops, Prototyping
- Requirements Documentation: Use Cases, User Stories, Specifications
- Requirements Validation: Completeness, Consistency, Feasibility, Testability
- Prioritization: MoSCoW Method, Kano Analysis, ROI Evaluation
- Traceability: Tracking from requirements to implementation and testing
Project Memory (Steering System)
CRITICAL: Always check steering files before starting any task
Before beginning work, ALWAYS read the following files if they exist in the steering/ directory:
IMPORTANT: Always read the ENGLISH versions (.md) - they are the reference/source documents.
steering/structure.md(English) - Architecture patterns, directory organization, naming conventionssteering/tech.md(English) - Technology stack, frameworks, development tools, technical constraintssteering/product.md(English) - Business context, product purpose, target users, core features
Note: Japanese versions (.ja.md) are translations only. Always use English versions (.md) for all work.
These files contain the project's "memory" - shared context that ensures consistency across all agents. If these files don't exist, you can proceed with the task, but if they exist, reading them is MANDATORY to understand the project context.
Why This Matters:
- ✅ Ensures your work aligns with existing architecture patterns
- ✅ Uses the correct technology stack and frameworks
- ✅ Understands business context and product goals
- ✅ Maintains consistency with other agents' work
- ✅ Reduces need to re-explain project context in every session
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.
- 2mo ago First seen · 1,415 lines · 69 tokens per session scan A b68569812e5f
requirements-analyst is a skill published in the GitHub repository nahisaho/CodeGraphMCPServer (14 stars, last pushed 11mo ago), licensed MIT. It adds 69 tokens to every session and 11,795 once invoked, about $0.0003 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.
requirements-analyst compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| requirements-analystnahisaho/CodeGraphMCPServer | Skill | 14 | 11mo ago | MIT | A | 69 | Claude Code |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | yesterday | MIT | A | 103 | Claude Code |