submit-product-directories-v2-quality

REVIEW · 58
Registry indexed

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 authoriz

Verified installs0
Stars483
Version1.0.0
Quality73/100 · Strong
Trust58/100 · Do not auto-install
Audit76/100 · Needs review

Supply asset profile

Legal, policy, and compliance

Contract analysis, privacy, policy review, compliance checks, governance, and document risk review.

Browse track

Scenario

Legal and compliance

I need my agent to review contracts, privacy policies, or compliance documents and summarize risks.

Agent fit

Claude Code + Browser agents + CLI

Codex, Claude Code, Cursor, CLI, or custom agents.

Install

Ready

npx skills add flaqai/backlink_skills --skill submit-product-directories-v2-quality

Maintenance

fresh

1d since push

Risk

Needs review

Dependency or permission surface needs review

GitHub quality

483

73/100 Quality · 66/100 Trust

Coverage tags

LegalLegal and compliancesecurityagent-skill

Review notes

Dependency or permission surface needs review · Permission surface may require sandboxing

Agent adoption scorecard

Trust, audit, and install readiness at a glance

These scores combine public repository metadata, OpenAgentSkill review signals, maintenance freshness, and install readiness. They are a shortlist signal, not a replacement for human review.

Quality

Strong
73

Solid option that is likely worth shortlisting for production workflows.

Trust

Do not auto-install
58

Trust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.

Audit

Needs review
76

A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.

OpenAgentSkill Trust Score v5

Human review before install

Choose a stronger alternative or inspect the source manually before any install attempt.

CodexClaude CodeCursorOpenAgentSkill CLI

Stars

483 GitHub stars

Repo activity

483 stars, 175 forks

Maintenance

1d since push

License

MIT

Install

npx skills add flaqai/backlink_skills --skill submit-product-directories-v2-quality

Install safety

standard package or runtime install path

Permission surface

secrets or environment access, shell or command execution

Agent outcomes

No agent outcome data yet

Docs

Usable metadata, review docs

Risk summary

Review before production

  • SKILL.md references multiple reference files (seo-quality-gate.md, workflow.md, status-model.md) that are not included in the submitted directory. This may cause incomplete execution if users rely solely on the skill package.
  • Quality score needs review
  • Permission surface needs review: secrets or environment access, shell or command execution
  • Dependency/runtime risk: command execution surface, credential or environment access

Install readiness

Install path available

  • Install path is available
  • Repository evidence is available
  • License is declared
  • No Agent Proven outcome evidence yet

Agent-readable metadata

Machine-readable decision data for this skill.

Use this block or the embedded JSON to decide whether an agent should install this skill, choose an alternative, or ask for human review first.

Open JSON

Suited tasks

  • Legal and compliance workflows
  • Claude Code teams
  • builders willing to evaluate younger projects
  • Extract obligations

Suited agents

CodexClaude CodeCursorOpenAgentSkill CLIBrowser agentsCLI

Install decision

Command
npx skills add flaqai/backlink_skills --skill submit-product-directories-v2-quality
Policy
block
Human review
yes

Trust and risk

Trust
58/100
Audit
76/100
Risk level
Needs review

Outcome loop

Endpoint
/api/agent/outcome
Event ID
resolve
Outcomes
5

Install command

npx skills add flaqai/backlink_skills --skill submit-product-directories-v2-quality

Do not use when

  • teams that need a vendor-supported SLA
  • production agents without a repository review
  • SKILL.md references multiple reference files (seo-quality-gate.md, workflow.md, status-model.md) that are not included in the submitted directory. This may cause incomplete execution if users rely solely on the skill package.
  • High-risk permission hints: Shell or command execution, Secrets or environment access
  • Dependency or permission surface needs review

Agent safety v2

36/100 · Avoid automatic install

Blocked for auto-installblock

This skill should not be selected by an agent without explicit human security review.

Do not auto-install. Inspect the source, dependencies, and permission surface first.

Resolve via API

high

Shell or command execution

Skill metadata references terminal, CLI, shell, subprocess, or command execution workflows.

medium

Browser automation

Skill may drive a browser or interact with web pages.

medium

Network access

Skill likely fetches remote pages, APIs, repositories, or external services.

high

Secrets or environment access

Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.

  • High-risk permission hints: Shell or command execution, Secrets or environment access
  • Dependency or permission surface needs review

Install targets

Install this skill in your agent workflow

Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.

skill install

OpenAgentSkill CLI

Resolve policy, run the source installer safely, and report a verified install receipt.

$ npx --yes https://github.com/Leon-Drq/openagentskill/releases/download/cli-v0.2.1/openagentskill-0.2.1.tgz install flaqai-submit-product-directories-v2-quality

Agent resolve plan

Let an agent verify fit before installing.

The Resolve API returns the selected skill, alternatives, safety policy, audit notes, install target, and copy-paste prompt an agent can follow without scraping this page.

Open text plan

Agent should check

  • Task fit and alternatives from Resolve API.
  • Audit score, trust score, and safety policy warnings.
  • Install target compatibility for Codex, Claude Code, Cursor, or CLI.

Copy prompt

Task: Use submit-product-directories-v2-quality in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20submit-product-directories-v2-quality%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/flaqai-submit-product-directories-v2-quality/install
Install command: npx skills add flaqai/backlink_skills --skill submit-product-directories-v2-quality
Before running it, summarize audit warnings, required permissions, and the fallback skill if install is risky.

Agent handoff

Give an agent the install path, not another directory page.

Use the public install endpoint to fetch the command, safety checklist, target prompts, and canonical links for this skill.

Open install API

Agent prompt

Use submit-product-directories-v2-quality for this task. Review https://www.openagentskill.com/api/skills/flaqai-submit-product-directories-v2-quality/install, then install with: npx skills add flaqai/backlink_skills --skill submit-product-directories-v2-quality

Registry metadata

Agent-readable profile for automatic skill selection.

This page exposes the same decision, trust, audit, use-case, and install signals through the Registry API, so agents can rank this skill without scraping the UI.

Open manifest

Agent fit

74/100

Legal and compliance

Platforms

Claude Code, Browser agents

Audit report

Needs review · 76/100

A machine-readable review of install readiness, security metadata, maintenance, and adoption risk.

View audit reportView eval report

Agent decision cockpit

Companion skill for Legal and compliance

Shortlist this skill and compare it with close alternatives before production adoption.

74
Readiness
Shortlist
Stage

Role in stack

Companion skill

Primary fit

Legal and compliance

Trust label

Strong shortlist

Install path

Command ready

Use when

  • Legal and compliance workflows
  • Claude Code teams
  • builders willing to evaluate younger projects

Evidence

  • recent repository activity
  • install command or GitHub repo available
  • 73/100 quality profile
  • 5 OpenAgentSkill engagement events

review first

  • SKILL.md references multiple reference files (seo-quality-gate.md, workflow.md, status-model.md) that are not included in the submitted directory. This may cause incomplete execution if users rely solely on the skill package.

Implementation path

  1. 1Install it in a sandbox agent and run one Legal and compliance task end to end.
  2. 2Compare output quality, latency, and failure behavior against at least one alternative.
  3. 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.

Trust profile

Do not auto-install

Trust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.

58
OpenAgentSkill Trust Score

GitHub adoption

INFO

483 GitHub stars

Stars/forks activity

INFO

483 stars, 175 forks; issue activity unavailable in current metadata

Recent maintenance

PASS

1d since push

License clarity

PASS

MIT

Good signals

  • AI review approved
  • Install path is available
  • Repository evidence is available
  • Recently maintained repository
  • Install command has no obvious high-risk pattern
  • Outcome loop is ready but needs first real agent run

Review before install

  • SKILL.md references multiple reference files (seo-quality-gate.md, workflow.md, status-model.md) that are not included in the submitted directory. This may cause incomplete execution if users rely solely on the skill package.
  • Quality score needs review
  • Permission surface needs review: secrets or environment access, shell or command execution
  • Dependency/runtime risk: command execution surface, credential or environment access
  • Permission surface: secrets or environment access, shell or command execution
  • No real agent outcome reports yet
  • Human review required before unattended installation

Recommended action

Choose a stronger alternative or inspect the source manually before any install attempt.

Quality profile

Strong candidate for agent workflows

Solid option that is likely worth shortlisting for production workflows.

73
GitHub stars
483
Freshness
1d ago
Install ready
Yes
License
MIT
Review before install: SKILL.md references multiple reference files (seo-quality-gate.md, workflow.md, status-model.md) that are not included in the submitted directory. This may cause incomplete execution if users rely solely on the skill package.

Workflow fit

Use this skill in these scenarios

Workflow fit

Add it to a complete workflow

Alternative shortlist

Compare before you install

Similar skills that may fit this task.

Compare all

Overview

--- 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](references/seo-quality-gate.md) before selecting or qualifying any site. 3. Read [references/authorization.md](references/authorization.md) before any action beyond read-only inspection. 4. Read [references/workflow.md](references/workflow.md) before browser work. 5. Read [references/browser-control-routing.md](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](references/status-model.md) before creating, updating, or auditing records. 7. Read [references/route-boundaries.md](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](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.

## 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

- [references/seo-quality-gate.md](references/seo-quality-gate.md): SEO purpose boundary and mandatory site-quality screening. - [references/authorization.md](references/authorization.md): machine-auditable authorization model. - [references/workflow.md](references/workflow.md): two-pass execution and recovery procedure. - [references/browser-control-routing.md](references/browser-control-routing.md): backend-neutral browser selection, interaction, confirmation, recovery, and evidence rules. - [references/status-model.md](references/status-model.md): state, evidence, event, and link-attribute rules. - [references/route-boundaries.md](references/route-boundaries.md): supported routes and mandatory handoffs. - [assets/submission-record-template.md](assets/submission-record-template.md): privacy-safe campaign template. - `scripts/audit_submission_record.py`: deterministic record, authorization, quality, privacy, and idempotency auditor.

Technical details

Version
1.0.0
License
MIT
Last updated
Aug 21, 2026
Published
Aug 21, 2026

Decision snapshot

Companion skill

74
Ready
Shortlist
Stage

recent repository activity

Audit

Install review

Install and adoption review

76
Needs review
Security
71/100
Maintenance
100/100
Install
92/100
Open full auditView eval report

Agent-proven evidence

Agent-proven evidence

Outcome reports after resolve, review, install, and one narrow run.

0
Proven
Needs first agent runAuto-install: review firstLast: Unknown
Success rate
Recent failure
Outcomes
0
Output quality
Failed
0
Not relevant
0
Installs
0
Risk blocked
0
Setup needed
0
Production
0

No agent outcome data yet. The first agent run can report success, setup needs, risk blocks, failure, or not-relevant through /api/agent/outcome.

Install

Add to agent workflow

Free and open source. Review the report before installing into production agents.

Growth loop

Share kit

X

Scenario-led draft for submit-product-directories-v2-quality, ready for a manual X post.

Curator note
submit-product-directories-v2-quality: SPD V2 Quality. Discover, deeply qualify, submit, and audit truthful product listings across...

483 stars

https://www.openagentskill.com/skills/flaqai-submit-product-directories-v2-quality?ref=x
Open X draft
Optional reply with install command
Listing + install path for submit-product-directories-v2-quality:
https://www.openagentskill.com/skills/flaqai-submit-product-directories-v2-quality?ref=x

Install: npx skills add flaqai/backlink_skills --skill submit-product-directories-v2-quality

Listing source

Registry indexed

Claimable

This listing was indexed from public sources and is not marked official until a maintainer claim is approved.

Creator
flaqai
Indexed by
OpenAgentSkill community index

Attribution links to the public repository or creator profile. Creators can claim the listing to update ownership signals.

Claim this skill

Owner claim

Claim this skill listing

This Registry indexed listing is attributed to flaqai but is not marked official yet. Claim it to add a verified owner signal and make future launch, install, and audit updates easier to trust.

Creator backlink kit

Add the evidence badges to your README

Show the canonical listing, current trust and audit signals, and real Agent-Proven evidence where developers evaluate the repository.

[![Listed on OpenAgentSkill](https://www.openagentskill.com/api/badge/flaqai-submit-product-directories-v2-quality?metric=listed&label=Listed)](https://www.openagentskill.com/skills/flaqai-submit-product-directories-v2-quality)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/flaqai-submit-product-directories-v2-quality?metric=trust&label=Trust)](https://www.openagentskill.com/skills/flaqai-submit-product-directories-v2-quality)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/flaqai-submit-product-directories-v2-quality?metric=audit&label=Audit)](https://www.openagentskill.com/skills/flaqai-submit-product-directories-v2-quality/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/flaqai-submit-product-directories-v2-quality?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/flaqai-submit-product-directories-v2-quality)

Author

F

flaqai

@flaqai

Health signals

GitHub stars
483
Quality score
42/100
Last GitHub push
Aug 21, 2026
Framework hints
Unknown
OpenAgentSkill views
5
Install copies
0
Outbound clicks
0

Community signal

Share whether this skill looks useful for your agent workflow. Aggregated feedback improves rankings over time.

Trust & safety

Do not auto-install

58
  • GitHub adoption483 GitHub starsINFO
  • Stars/forks activity483 stars, 175 forks; issue activity unavailable in current metadataINFO
  • Recent maintenance1d since pushPASS
  • License clarityMITPASS
  • README/SKILL.md completenessPublic metadata needs stronger README/SKILL.md contextINFO
  • Dependency/runtime riskcommand execution surface, credential or environment accessCHECK