verify-spec

Forensic verification of implementation code against its authoritative specification. Use when checking whether code faithfully implements every requirement from a spec, verifying spec conformance after implementation, auditing compliance between design and code, or when asked to 'verify this implementation matches the spec', 'check spec conformance', 'does the code match the design', 'audit implementation against requirements', or 'verify spec coverage'. Extracts every verifiable requirement from the spec, maps each to implementation code, and classifies as PASS/DRIFT/PARTIAL/MISSING/ CONFLICT with evidence. Produces conformance metrics, a verdict (CONFORMANT / CHANGES REQUIRED / NON-CONFORMANT), and a remediation plan. Saves to .reviews/Review-{spec-name}.md. Do NOT use for general code review or spec design review.

Safety Notice

This listing is imported from SkillsMP metadata and should be treated as untrusted until upstream source review is completed.

Copy this and send it to your AI assistant to learn

Install skill "verify-spec" with this command: npx skills add sergeyklay/skillsmp-sergeyklay-sergeyklay-verify-spec

No markdown body

This source entry does not include full markdown content beyond metadata.

Source Transparency

This detail page is rendered from real SKILL.md content. Trust labels are metadata-based hints, not a safety guarantee.

Open in GitHub

Related Skills

Related by shared tags or category signals.

Security

review-arch

Conduct a principal-level architecture review of a system, specification, diagram, or set of design decisions. Use when asked to review an architecture, evaluate a design, assess coupling/cohesion, check for anti-patterns, audit system boundaries, or produce an Architecture Review Board (ARB) style verdict. Also use when someone says 'review this architecture', 'is this design sound', 'what's wrong with this topology', 'evaluate these tradeoffs', or 'audit this system'. Produces a structured verdict organized around critical risks, significant concerns, observations, strengths, and open questions, grounded in evidence from the codebase and cited against established methodology (ATAM, ISO/IEC 25010, documented anti-pattern catalogues). Do NOT use for line-by-line code review, spec-vs-implementation verification, or PR-level correctness checks.

Repository SourceNeeds Review

-0sergeyklay

Security

agentguard

GoPlus AgentGuard — AI agent security guard. Run /agentguard checkup for a full security health check, scans all installed skills, checks credentials, permissions, and network exposure, then delivers an HTML report directly to you. Also use for scanning third-party code, blocking dangerous commands, preventing data leaks, evaluating action safety, and running daily security patrols.

Archived SourceRecently Updated

--GoPlusSecurity

Security

notion-cli-mcp

Notion via notion-cli — a Rust CLI + MCP server for Notion API 2025-09-03+. Safety-first agent integration with rate limiting, response-size cap, untrusted-source output envelope, read-only MCP default, JSONL audit log, and --check-request dry-runs. Supports the new data-source model, 22 property types, 12 block types, and one-shot page+body creation.

Archived SourceRecently Updated

--0xarkstar

Security

fire-smoke-detection-analysis

Detects fire and smoke in video scenes. Supports both video stream and image analysis. Suitable for fire early warning scenarios such as security surveillance, forest fire prevention, and industrial parks. | 烟火检测技能，对视频场景中火情和烟雾进行检测，支持视频流和图片检测，适用于安防监控、森林防火、工业园区等火灾预警场景

Archived SourceRecently Updated

--18072937735