Getting it into your agent
It runs from inside its repository, so the clone comes first — what it calls does not travel with the file alone.
git clone --depth 1 https://github.com/agentic-community/mcp-gateway-registrynpx agentmods add skills/agentic-community/mcp-gateway-registry/new-feature-designWrote 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/agentic-community/mcp-gateway-registry/new-feature-design)<a href="https://agentmods.dev/skills/agentic-community/mcp-gateway-registry/new-feature-design"><img src="https://agentmods.dev/badge/skills/agentic-community/mcp-gateway-registry/new-feature-design/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/agentic-community/mcp-gateway-registry/new-feature-design"><img src="https://agentmods.dev/badge/skills/agentic-community/mcp-gateway-registry/new-feature-design.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector warn
SkillSpector: 6 findings, up to high
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 →
- high Privilege Escalation · line 718 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
- high Privilege Escalation · line 1699 Code accesses credential files (SSH keys, AWS credentials, etc.). This could indicate credential theft attempts.Fix: Remove references to credential paths. Use environment variables or secrets managers. For docs, use placeholder paths (e.g., /path/to/config). Never load .env or token files in production code paths.
- medium Data Exfiltration · line 1397 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 1452 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 1490 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
- medium Data Exfiltration · line 1741 Data is being sent to an external URL. This could be legitimate telemetry or data exfiltration. Manual review is recommended.Fix: Verify the destination URL is trusted and necessary. Remove or replace with documented APIs. Ensure no secrets, tokens, or PII are transmitted.
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 | $0.00118 | $0.15514 |
| Opus 5 | $0.00059 | $0.07757 |
| Sonnet 5 | $0.00024 | $0.03103 |
| Haiku 4.5 | $0.00012 | $0.01551 |
Grade A, and why
new-feature-design scanned grade A with 1 finding 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.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
description: "Design and document new features with GitHub issue, low-level design (LLD), expert review, and testing plan. Creates structured documentation in .scratchpad/ with issue spec, technical design with diagrams How it starts
The opening of the file, as written. The whole thing — 1,924 lines — stays where its author put it; the contents beside it link to each section on GitHub.
New Feature Design Skill
Use this skill when the user wants to design a new feature for the MCP Gateway Registry. This skill creates comprehensive design documentation that enables entry-level developers to implement the feature.
Input Modes
This skill supports two input modes:
- User Description Mode - User describes the feature they want to design
- GitHub Issue URL Mode - User provides a URL to an existing GitHub issue
Detecting Input Mode
When the user invokes this skill:
- If they provide a GitHub issue URL (e.g.,
https://github.com/owner/repo/issues/123), use GitHub Issue URL Mode - Otherwise, use User Description Mode
Workflow
User Description Mode Workflow
- Gather Requirements - Ask clarifying questions about the feature
- Quick Codebase Review - Explore the codebase to understand structure
- Create Design Folder - Create
.scratchpad/{feature-name}/directory - Write GitHub Issue - Create
github-issue.mdfor issue creation - Deep Codebase Analysis - Thoroughly explore relevant code
- Write Low-Level Design - Create
lld.mdwith technical details - Expert Review - Create
review.mdwith multi-persona feedback - Write Testing Plan - Create
testing.mdwith functional, backwards-compat, UX, ECS, and E2E tests - Present Summary & Seek Guidance - Present findings and ask for direction
GitHub Issue URL Mode Workflow
- Fetch GitHub Issue - Retrieve issue content using
ghCLI - Analyze Issue Content - Extract requirements, design elements, and context
- Quick Codebase Review - Explore the codebase to understand structure
- Create Design Folder - Create
.scratchpad/issue-{number}/directory (e.g.,issue-500for GitHub issue #500) - Summarize Existing Issue - Create
github-issue.mdsummarizing the existing issue - Clarify Requirements - Ask user about any gaps or ambiguities found
- Deep Codebase Analysis - Thoroughly explore relevant code
- Write Low-Level Design - Create
lld.mdwith technical details - Expert Review - Create
review.mdwith multi-persona feedback - Write Testing Plan - Create
testing.mdwith functional, backwards-compat, UX, ECS, and E2E tests - Present Summary & Seek Guidance - Present findings and ask for direction
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 · 1,924 lines · 118 tokens per session scan A bbf51e6f6fec
new-feature-design is a skill published in the GitHub repository agentic-community/mcp-gateway-registry (909 stars, last pushed today), licensed Apache-2.0. It adds 118 tokens to every session and 15,514 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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