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 nexus-substrate/nexus-agents --skill requirements-gatheringgit clone --depth 1 https://github.com/nexus-substrate/nexus-agentsWrote 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/nexus-substrate/nexus-agents/requirements-gathering)<a href="https://agentmods.dev/skills/nexus-substrate/nexus-agents/requirements-gathering"><img src="https://agentmods.dev/badge/skills/nexus-substrate/nexus-agents/requirements-gathering/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/nexus-substrate/nexus-agents/requirements-gathering"><img src="https://agentmods.dev/badge/skills/nexus-substrate/nexus-agents/requirements-gathering.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 1 finding, 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 Prompt Injection · line 158 Large whitespace padding was detected (a block of blank lines or a long run of spaces). This can push injected instructions below or to the right of the visible area so a human reviewer never sees them while the agent still reads them. Manual review of the hidden content is recommended.Fix: Remove the large whitespace padding (blank-line blocks or long space runs) and review any content hidden below or to the right of it. Keep skill files compact and reviewable so no instructions can be
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 | $0.00061 | $0.01508 |
| Opus 5 | $0.00030 | $0.00754 |
| Sonnet 5 | $0.00012 | $0.00302 |
| Haiku 4.5 | $0.00006 | $0.00151 |
Grade A, and why
requirements-gathering 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.
How it starts
The opening of the file, as written. The whole thing — 182 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Requirements Gathering Skill
Process
Phase 1: Analyze the Request
- Parse the user's raw input for intent, scope, and stakeholders
- Identify ambiguities — what's unclear or underspecified?
- Classify the request type: feature, improvement, fix, research, infrastructure
- Assess complexity: simple (1-2 steps), moderate (3-5), complex (6+)
Phase 2: Extract Requirements
Structure findings as:
Functional Requirements — What the system must do Non-functional Requirements — Performance, security, usability constraints Constraints — Technical limitations, timeline, dependencies
Phase 3: Map to Capabilities
Cross-reference requirements against available nexus-agents capabilities:
| Capability Type | Where to Check |
|---|---|
| MCP Tools (20) | CLAUDE.md MCP Tools Reference table |
| Workflows (9) | src/orchestration/graph/templates/ |
| Expert Roles (9) | src/agents/experts/expert-config.ts |
| CLI Adapters | src/cli-adapters/factory.ts |
| Security Pipeline | src/security/ |
Phase 4: Identify Gaps
For each requirement that cannot be fulfilled:
- Describe the gap clearly
- Suggest workarounds using existing capabilities
- Flag for issue creation if the gap is significant
Phase 5: Generate User Stories
Format each requirement as a user story:
As a [role], I want [capability] so that [benefit]
Acceptance Criteria:
- Given [context], When [action], Then [outcome]
- Given [context], When [action], Then [outcome]
Priority: P1/P2/P3/P4
Dependencies: [list]
Phase 6: Propose Plan
Summarize the implementation approach:
- Which existing tools/workflows/experts to use
- What new capabilities need to be built
- Suggested phasing (what to build first)
- Risk assessment
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.
- 11d ago First seen · 182 lines · 61 tokens per session scan A 642605f39a93
requirements-gathering is a skill published in the GitHub repository nexus-substrate/nexus-agents (18 stars, last pushed yesterday), licensed MIT. It adds 61 tokens to every session and 1,508 once invoked, about $0.0003 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 2026-08-30.
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