metadata plugins

by watermarks-remover contributors

Remove multi-vendor AI provenance marks: invisible Unicode (Layer A), statistical text watermarks via rewrite (Layer B), and C2PA/EXIF/XMP/container metadata on images, documents, and media. Ships the remove-ai-marks skill (thin client over the repo's HTTP service) and the self-contained clean-user-facing-text skill.

by VidSeeds.ai

VidSeeds.ai connector for pre-upload video SEO/metadata optimization + multi-platform publishing (247 tools). Workflow skills for efficient MCP use. Paid connector with a 14-day free trial. Requires a free Personal Access Token from https://vidseeds.ai/settings/mcp-settings.

by HashiCorp

HCP Packer registry integration for tracking and managing image metadata.

by Ingvar Consulting, LLC

Practical 1C:Enterprise development workflows for Codex.

by FocusGTS

Content operations skills for AEM Edge Delivery Services: page auditing, SEO optimization, AI search (GEO), WCAG accessibility, bulk metadata, structured data, sitemap validation, and content diffing. Complements the EDS development skills with operational tooling for content teams.

by Colton Bearden

Organize, dedupe, tag, annotate, record typed fields, rename from document fields, and batch-process local files with the carrel CLI: /organize, /dedupe, /tag, /note-file, /meta, /rename, /batch.

by Job Schepers

The devbook convention: .arc42, .domain, .tech, .design, and .ai folders of addressed Markdown chapters, each carrying a parseable meta block with status ladders, a shared approved rung, runnable test-case links, an opaque ext namespace a layered plugin keeps its own state in, and annotation fences that keep a review note in the chapter beside the passage it is about, compiled into derived _meta indexes and a reference-graph canvas. Ships bidirectional to-spec-<kind> and from-spec-<kind> converters between chapters and code, a versioned contract with runnable migrations, and enforcement tooling. Ships the shape and the check, never a flow: the delivery engine carries a chapter change and reads these rules from the repository.

by Skylar

Adaptive, multi-agent workflows for building, auditing, and operating privacy-respecting, anonymity-preserving software. Covers the anonymity threat model, anonymous sessions, Tor/proxy egress and leak prevention, metadata minimization, fingerprinting and traffic-analysis resistance, supply-chain trust, opsec hardening, privacy feature design, leak incident response, doc alignment, and an opsec PR gate. Anonymous-by-default, fail-closed, developer-in-the-loop.

by Skylar

Adaptive, multi-agent workflows for building, auditing, and operating privacy-respecting, anonymity-preserving software. Covers the anonymity threat model, anonymous sessions, Tor/proxy egress and leak prevention, metadata minimization, fingerprinting and traffic-analysis resistance, supply-chain trust, opsec hardening, privacy feature design, leak incident response, doc alignment, and an opsec PR gate. Anonymous-by-default, fail-closed, developer-in-the-loop.

by watermarks-remover contributors

Remove multi-vendor AI provenance marks: invisible Unicode (Layer A), statistical text watermarks via rewrite (Layer B), and C2PA/EXIF/XMP/container metadata on images, documents, and media. Ships the remove-ai-marks skill (thin client over the repo's HTTP service) and the self-contained clean-user-facing-text skill.