submit-product-directories-v2-quality

submit-product-directories-v2-quality is a skill for Codex from flaqai/backlink_skills. It costs 125 tokens per session (1,749 once invoked), scanned A, original, MIT.

A quality-focused workflow for finding, evaluating, submitting, and reviewing product listings on relevant software, startup, app, and AI-tool directories.

In plain words
What is it for?
Use it when directory listings need careful site selection and lasting audience value rather than simply processing a large preapproved URL list.
Why use it?
It filters out poor or unsuitable directories and emphasizes accurate information, useful audiences, authorization, privacy, and evidence of completed actions.

Skill for Codex

Written for Codex: agents/openai.yaml present. Also seen: $skill-name invocation.

Good fit Use it when directory listings need careful site selection and lasting audience value rather than simply processing a large preapproved URL list.

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Install with agentmods
npx agentmods add skills/flaqai/backlink_skills/submit-product-directories-v2-quality
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add flaqai/backlink_skills --skill submit-product-directories-v2-quality
Clone the repo
git clone --depth 1 https://github.com/flaqai/backlink_skills

Made for: Codex.

Wrote 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.

agentmods badge for submit-product-directories-v2-quality

README.md
[![agentmods](https://agentmods.dev/badge/skills/flaqai/backlink_skills/submit-product-directories-v2-quality/github.svg)](https://agentmods.dev/skills/flaqai/backlink_skills/submit-product-directories-v2-quality)
Your own site
<a href="https://agentmods.dev/skills/flaqai/backlink_skills/submit-product-directories-v2-quality"><img src="https://agentmods.dev/badge/skills/flaqai/backlink_skills/submit-product-directories-v2-quality/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.

agentmods 80×15 button for submit-product-directories-v2-quality

Your own site · 80×15
<a href="https://agentmods.dev/skills/flaqai/backlink_skills/submit-product-directories-v2-quality"><img src="https://agentmods.dev/badge/skills/flaqai/backlink_skills/submit-product-directories-v2-quality.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 125 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 1,749 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe. Third-party audits
  • NVIDIA SkillSpector pass 7 Sept 2026
How audits are shown
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00125 $0.01749
Opus 5 $0.00063 $0.00874
Sonnet 5 $0.00025 $0.00350
Haiku 4.5 $0.00013 $0.00175

Measured 12d ago against content hash 15be34139fb4, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

submit-product-directories-v2-quality scanned grade A with 0 findings 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 12d ago.

The scan reads SKILL.md. This mod also ships 3 executable files (scripts/audit_submission_record.py, tests/test_audit_submission_record.py, tests/test_browser_control_routing.py), listed below but not scanned — reading those needs a real analyzer, not pattern matching.

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.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

submit-product-directories-v2-quality/SKILL.md · 107 lines

How it starts

The opening of the file, as written. The whole thing — 107 lines — stays where its author put it; the contents beside it link to each section on GitHub.

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.

Read the full file on GitHub · 107 lines

Changes

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.

  1. 12d ago First seen · 107 lines · 125 tokens per session scan A 15be34139fb4

Subscribe to this mod's changes

submit-product-directories-v2-quality is a skill published in the GitHub repository flaqai/backlink_skills (699 stars, last pushed 18d ago), licensed MIT. It adds 125 tokens to every session and 1,749 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

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