submit-product-directories-v2-quality SKILL.md skillA

submit-product-directories-v2-quality from flaqai/backlink_skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add flaqai/backlink_skills/submit-product-directories-v2-quality@git:20260819.f2f48fd

Pins git:20260819.f2f48fd in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
flaqai/backlink_skills
Path
submit-product-directories-v2-quality/SKILL.md
Versions recorded
2
Latest version
git:20260819.f2f48fd, committed Aug 19, 2026
First version recorded
Aug 18, 2026
Size
8,876 bytes
Repository stars
791
License
MIT

SPD V2 Quality. Discover, deeply qualify, submit, and audit truthful product listings across Windows, macOS, and Linux-capable environments on relevant product, software, startup, app, and AI-tool directories with audience-value screening, SEO quality gates, action-level authorization, privacy controls, and evidence-backed records. Use when listing quality, referral value, governance, durability, and auditable compliance matter more than submission volume. Do not use for bulk backlink…

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# SPD V2 Quality — quality-oriented directory discovery and submission

## Version identity

- Canonical name: `SPD V2 Quality`.
- Invocation: `$submit-product-directories-v2-quality`.
- Optimize for audience relevance, discovery value, governance, referral potential, listing durability, and evidence quality.
- Use when quality and long-term value matter more than queue throughput.
- Route large preapproved source lists whose primary need is operational throughput to `$submit-product-directories-v1-batch`.
- Do not call this version `SPD V1`, `SPD Batch`, or generic `SPD` in records.
- Treat records without an explicit version as legacy until they pass the V2 auditor.

Run directory discovery and listing work as a compliance-gated state machine. Optimize for product discovery, accurate brand profiles, qualified referral traffic, and durable listings—not ranking signals, PageRank, dofollow links, or submission volume.

## Load required controls

1. Read the approved product facts, brand rules, contact aliases, asset references, source list, authorization matrix, and existing record.
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add flaqai/backlink_skills/submit-product-directories-v2-quality@sha256:15be34139fb4ce41

The line at the top of this page pins the label git:20260819.f2f48fd, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_rxukngnmndpuhuk5.svg)](https://markdownregistry.com/a/art_rxukngnmndpuhuk5)

1 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 2 versions of this file, between Aug 18, 2026 and Aug 19, 2026, more than one a day.

versioncommittedcommitsizeaudit
git:20260819.f2f48fd latest2026-08-19 f2f48fd 8,876 BA view · diff
git:20260818.89bb14a2026-08-18 89bb14a 8,118 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (8876 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

flaqai/backlink_skills · 791 stars · license MIT · pushed 2026-10-20 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_rxukngnmndpuhuk5
GET https://markdownregistry.com/api/v1/resolve?ref=flaqai/backlink_skills/submit-product-directories-v2-quality
GET https://markdownregistry.com/api/v1/blob/15be34139fb4ce41ee008b9074b6f84bbf964e20c6076ebf3c6130bb7e487238

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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