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Agent skill

Submit Product Directories V2 Quality

by flaqai in flaqai/backlink_skills

SPD V2 Quality. An agent skill from flaqai/backlink_skills.

MITAuto-check passedMarketing & SEO

Install Submit Product Directories V2 Quality

skills CLI
$ npx skills add flaqai/backlink_skills --skill submit-product-directories-v2-quality -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install flaqai/backlink_skills submit-product-directories-v2-quality --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/flaqai/backlink_skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/submit-product-directories-v2-quality .claude/skills/submit-product-directories-v2-quality && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
submit-product-directories-v2-quality
GitHub stars
756
Token cost
~2.2k tokens
SKILL.md length
925 words
Files
12 (incl. scripts, references, assets)
Skills in repo
19
Repo updated
First seen
Licence
MIT

At a glance

SPD V2 Quality. An agent skill from flaqai/backlink_skills.

  • Works in 8 steps: Read the approved product facts, brand… → Read references/seo-quality-gate.md… → Read references/authorization.md before… → …
  • Listing quality
  • SKILL.md covers Version identity, Load required controls, Enforce the SEO purpose boundary and Restrict routes, plus 5 more sections
  • Runs Python scripts from its folder; calls python3

What it does

Submit Product Directories V2 Quality is an agent skill from flaqai/backlink_skills. 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 creation, ranking…

Its SKILL.md is about 2.2k tokens, which your agent loads only when the skill is triggered. The skill folder holds 16 other files, including scripts, reference files and assets (for example `agents/openai.yaml`, `assets/submission-record-template.md` and `references/authorization.md`).

It sits in Marketing & SEO, covering Link building, Quality gates and E-commerce operations. It works with Linux and macOS. The repository describes itself as: Awesome skills for submitting url to free websites. Get more backlinks for your website to get more traffic. The licence is MIT.

When your agent uses it

  • Listing quality
  • Auditable compliance matter more than submission volume
  • Bulk backlink creation
  • Ranking manipulation

Example prompts

  • “/submit-product-directories-v2-quality”

Requirements

  • Python 3

Workflow steps

8 steps, taken from the first numbered list in SKILL.md.

  1. Read the approved product facts, brand rules, contact aliases, asset references, source list, authorization matrix, and existing record.
  2. Read references/seo-quality-gate.md before selecting or qualifying any site.
  3. Read references/authorization.md before any action beyond read-only inspection.
  4. Read references/workflow.md before browser work.
  5. Read references/browser-control-routing.md before any browser or app interaction. Run the Windows/macOS/Linux capability preflight and…
  6. Read references/status-model.md before creating, updating, or auditing records.
  7. Read references/route-boundaries.md when a candidate is an article, community, email, contact, resource-page, or partnership route.
  8. Copy assets/submission-record-template.md when no record exists.

What it can do on your machine

Read from SKILL.md and the folder at commit 3c56c94. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/ (Python), which the agent can run.

    Shell commands in SKILL.md call:

    • python3

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Submit Product Directories V2 Quality loads about 2.2k tokens when it runs, and up to ~7.9k if it reads all its reference files. Until then it costs about 170 tokens; SKILL.md has 925 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~170
When it runs · the whole SKILL.md, loaded when a task matches
~2.2k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~7.9k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); the scripts in this folder are not scanned.

SKILL.md

The full file from flaqai/backlink_skills at commit 3c56c94, republished under its MIT licence (© flaqai). 925 words, ~2,216 tokens.

Download SKILL.mdSave it as .claude/skills/submit-product-directories-v2-quality/SKILL.md (or your agent's skills folder). This skill also uses 11 other files; get the full folder from GitHub.
name
submit-product-directories-v2-quality
description
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 creation, ranking manipulation, guest posts, community promotion, mass email, paid link acquisition, or automatic submission to low-quality directories.

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.
  2. Read references/seo-quality-gate.md before selecting or qualifying any site.
  3. Read references/authorization.md before any action beyond read-only inspection.
  4. Read references/workflow.md before browser work.
  5. Read references/browser-control-routing.md before any browser or app interaction. Run the Windows/macOS/Linux capability preflight and select the backend from the current environment; do not assume a specific browser, operating system, or Computer Use support.
  6. Read references/status-model.md before creating, updating, or auditing records.
  7. Read references/route-boundaries.md when a candidate is an article, community, email, contact, resource-page, or partnership route.
  8. Copy assets/submission-record-template.md when no record exists.

Never invent company, founder, pricing, address, launch, user-count, social, legal, ownership, or contact facts. Leave optional unknowns blank; mark required unknowns blocked — missing verified data.

Enforce the SEO purpose boundary

Stop the campaign if site selection, scale, anchor text, payment, reciprocal links, or automation is primarily intended to manipulate search rankings. Never promise rankings, PageRank, backlink counts, dofollow placement, domain-metric gains, or a “safe” submission volume.

Use only brand, product, or naked-URL anchors. Do not request dofollow treatment or use repeated commercial exact-match anchors. Record the actual public anchor, href, rel, and commercial or reciprocal relationship after publication. Require sponsored or nofollow treatment for paid or incentivized links; otherwise mark the placement noncompliant and do not count it as an acceptable listing.

Restrict routes

Process only directory listings, Request app recommendations, claims of existing directory listings, and product-bearing profiles on governed discovery platforms.

Do not batch articles, guest posts, community posts, press releases, cold email, contact-form promotion, or resource-page outreach through this workflow. Classify and hand them to a separate, route-specific workflow.

Run Pass A — research, quality, and verification

  1. Normalize source URLs and derive an idempotency key from platform domain, product canonical ID, account alias, and route.
  2. Keep V2 in pilot mode: no more than 10 source sites per batch, with a separate opaque approval reference for every site.
  3. Initialize each site with Phase: eligibility, Status: not attempted, and Quality gate: not checked.
  4. Inspect relevance, real user/discovery value, governance/editorial oversight, link-selling claims, directory/network quality, reciprocal requirements, and automation/terms compatibility.
  5. Mark low-quality, ranking-link, forced-reciprocal, irrelevant, empty-template, or directory-network candidates ineligible with structured evidence.
  6. Allow form work only when every mandatory quality dimension passes and Quality gate: passed.
  7. Reuse or create accounts only under a valid, scoped authorization entry.
  8. Expose the earliest native verification, preserve interactive challenges, and build one manual queue. Never bypass or outsource a safeguard.
  9. Enter no product-listing fields during Pass A. Read-only inspection and separately authorized registration are allowed.
Show full SKILL.md (368 more words)Show less

Run Pass B — authorized form execution

  1. Recheck quality, duplicate state, verification validity, authorization validity, and source-list membership.
  2. Start form work only on sites with Quality gate: passed.
  3. Append an immutable event before or immediately after every executed action. Include timestamp, event ID, canonical action, result, and evidence-store reference.
  4. Match every executed action to an allowed authorization whose approver, approval time, site scope, and expiry are valid at action time. Treat ask and prohibited as not authorized.
  5. Fill only approved facts. Keep optional subscriptions off. Stop on missing required facts.
  6. Submit only under valid final-submission authorization. Capture the exact response and structured evidence immediately.
  7. Never retry an ambiguous final action. For submission outcome unknown, complete backend, mailbox, and public-page checks before any later attempt.

Protect records and evidence

  • Keep the public campaign record separate from the controlled evidence store.
  • Record aliases and opaque evidence IDs, not passwords, OTPs, recovery codes, OAuth parameters, cookies, real session IDs, magic links, raw email addresses, phone numbers, or private absolute paths.
  • Strip authentication and tracking parameters from record URLs. Preserve required route parameters only in the controlled evidence store.
  • Set evidence capture and retention dates. Delete controlled evidence according to the campaign retention policy.
  • Treat account creation, a click, navigation, a cleared form, or a saved draft as insufficient proof of submission.

Close and audit

Run:

On macOS or Linux:

bash
python3 scripts/audit_submission_record.py path/to/record.md
python3 scripts/audit_submission_record.py path/to/record.md --json

On Windows, use py -3 or an equivalent Python 3 launcher:

powershell
py -3 scripts/audit_submission_record.py path\to\record.md
py -3 scripts/audit_submission_record.py path\to\record.md --json

The auditor must fail on missing campaign controls, invalid or expired authorization, failed quality gates followed by execution, incompatible phase/status/evidence combinations, secret exposure, unsafe link relationships, duplicate idempotency keys, duplicate tracking variants, invalid event logs, or incomplete unknown-outcome checks.

Use qualified publication rate, referral visits, referral conversion, profile accuracy, and listing survival as KPIs. Do not use submission count, backlink count, dofollow count, DA, or DR as success criteria.

Bundled resources

© flaqai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 11 other files (scripts, references, assets) in submit-product-directories-v2-quality of flaqai/backlink_skills.

  • SKILL.md
  • agents/openai.yaml
  • assets/submission-record-template.md
  • references/authorization.md
  • references/browser-control-routing.md
  • references/route-boundaries.md
  • references/seo-quality-gate.md
  • references/status-model.md
  • references/workflow.md
  • scripts/audit_submission_record.py
  • tests/test_audit_submission_record.py
  • tests/test_browser_control_routing.py

Open the folder on GitHubat commit 3c56c94

Compare with similar skills

Submit Product Directories V2 Quality next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Submit Product Directories V2 Quality compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Submit Product Directories V2 Quality this skillflaqai/backlink_skills756—~2.2kAutomated safety check: PassMIT
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SEO Link Strategykennyzir/7deer_skills322—~1.4kAutomated safety check: PassMIT
Rankupyan-labs/yan-skills213—~5.1kAutomated safety check: NotesMIT
Obsidian Official CLIhashgraph-online/awesome-codex-plugins1.3k—~2.2kAutomated safety check: PassApache-2.0
Defender For Endpointvinayaklatthe/microsoft-security-skills175—~2.3kAutomated safety check: PassMIT

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Works with

Categories

Questions about Submit Product Directories V2 Quality

What does Submit Product Directories V2 Quality do?

SPD V2 Quality. An agent skill from flaqai/backlink_skills. Submit Product Directories V2 Quality is an agent skill from flaqai/backlink_skills. SPD V2 Quality.

When should I use Submit Product Directories V2 Quality?

Submit Product Directories V2 Quality fits situations like: listing quality; auditable compliance matter more than submission volume; bulk backlink creation; ranking manipulation.

How do I install Submit Product Directories V2 Quality in Claude Code?

Run `npx skills add flaqai/backlink_skills --skill submit-product-directories-v2-quality -a claude-code`. Or copy the skill folder (submit-product-directories-v2-quality in flaqai/backlink_skills) into .claude/skills/submit-product-directories-v2-quality in your project. Claude Code loads it when a task matches its description.

How do I install Submit Product Directories V2 Quality in Codex?

Run `npx skills add flaqai/backlink_skills --skill submit-product-directories-v2-quality -a codex`. Or copy the skill folder (submit-product-directories-v2-quality in flaqai/backlink_skills) into .agents/skills/submit-product-directories-v2-quality in your project. Codex loads it when a task matches its description.

Can I use Submit Product Directories V2 Quality in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add flaqai/backlink_skills --skill submit-product-directories-v2-quality -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/submit-product-directories-v2-quality, .gemini/skills/submit-product-directories-v2-quality, .github/skills/submit-product-directories-v2-quality and .opencode/skills/submit-product-directories-v2-quality in your project.

What does Submit Product Directories V2 Quality need to run?

Going by SKILL.md and its folder, Submit Product Directories V2 Quality needs Python for the scripts in its folder and the command-line tools its instructions call (python3). Our summary lists: Python 3.

Does Submit Product Directories V2 Quality access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Submit Product Directories V2 Quality safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Submit Product Directories V2 Quality use?

Submit Product Directories V2 Quality is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Submit Product Directories V2 Quality use?

About 2.2k tokens (SKILL.md is roughly 8.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 5.6k tokens, read only when the agent opens those files.

What are the alternatives to Submit Product Directories V2 Quality?

Skills that share tags, products or a category with Submit Product Directories V2 Quality: Omacvm (gillesgoetsch/OmacVM, 175 stars), SEO Link Strategy (kennyzir/7deer_skills, 322 stars), Rankup (yan-labs/yan-skills, 213 stars) and Obsidian Official CLI (hashgraph-online/awesome-codex-plugins, 1.3k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Submit Product Directories V2 Quality?

flaqai (a GitHub organization) maintains it in flaqai/backlink_skills, which has 756 GitHub stars. The repository holds 19 skills in this directory. The repository was last updated on September 24, 2026.

Source: flaqai/backlink_skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.