submit-product-directories-v1-batch

REVIEW · 64
Registry indexed

SPD V1 Batch. Process large, user-supplied sets of legitimate product, software, startup, app, and AI-tool directory URLs across Windows, macOS, and Linux-capable environments through normalization, deduplication, execution sharding, verification-first queues, authorization-contr

Verified installs0
Stars483
Version1.0.0
Quality74/100 · Strong
Trust64/100 · Sandbox only
Audit79/100 · Needs review

Supply asset profile

Coding and developer agents

Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.

Browse track

Scenario

GitHub automation

I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.

Agent fit

Claude Code + Cursor + Browser agents

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

Install

Ready

npx skills add flaqai/backlink_skills --skill submit-product-directories-v1-batch

Maintenance

fresh

1d since push

Risk

Needs review

Dependency or permission surface needs review

GitHub quality

483

74/100 Quality · 72/100 Trust

Coverage tags

CodingGitHub automationdesign-creativeagent-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
74

Solid option that is likely worth shortlisting for production workflows.

Trust

Sandbox only
64

Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.

Audit

Needs review
79

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

OpenAgentSkill Trust Score v5

Human review before install

Run only in a sandbox and compare close alternatives before using it for real work.

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-v1-batch

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

  • 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

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

  • GitHub automation workflows
  • Claude Code teams
  • builders willing to evaluate younger projects
  • Inspect repository metadata

Suited agents

CodexClaude CodeCursorOpenAgentSkill CLIBrowser agentsCLI

Install decision

Command
npx skills add flaqai/backlink_skills --skill submit-product-directories-v1-batch
Policy
block
Human review
yes

Trust and risk

Trust
64/100
Audit
79/100
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-v1-batch

Do not use when

  • teams that need a vendor-supported SLA
  • high-compliance environments without internal security review
  • No major risk signals from current metadata
  • High-risk permission hints: Shell or command execution, Secrets or environment access
  • Dependency or permission surface needs review

Agent safety v2

35/100 · 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-v1-batch

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-v1-batch in this workspace.
Resolve first: https://www.openagentskill.com/api/agent/resolve?task=Use%20submit-product-directories-v1-batch%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Review install handoff: https://www.openagentskill.com/api/skills/flaqai-submit-product-directories-v1-batch/install
Install command: npx skills add flaqai/backlink_skills --skill submit-product-directories-v1-batch
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-v1-batch for this task. Review https://www.openagentskill.com/api/skills/flaqai-submit-product-directories-v1-batch/install, then install with: npx skills add flaqai/backlink_skills --skill submit-product-directories-v1-batch

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

76/100

GitHub automation

Platforms

Claude Code, Cursor, Browser agents

Audit report

Needs review · 79/100

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

View audit reportView eval report

Agent decision cockpit

Companion skill for GitHub automation

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

76
Readiness
Shortlist
Stage

Role in stack

Companion skill

Primary fit

GitHub automation

Trust label

Strong shortlist

Install path

Command ready

Use when

  • GitHub automation workflows
  • Claude Code teams
  • builders willing to evaluate younger projects

Evidence

  • recent repository activity
  • install command or GitHub repo available
  • 74/100 quality profile
  • 13 OpenAgentSkill engagement events

review first

  • No major risk signals from current metadata

Implementation path

  1. 1Install it in a sandbox agent and run one GitHub automation 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

Sandbox only

Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.

64
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

  • 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

Run only in a sandbox and compare close alternatives before using it for real work.

Quality profile

Strong candidate for agent workflows

Solid option that is likely worth shortlisting for production workflows.

74
GitHub stars
483
Freshness
1d ago
Install ready
Yes
License
MIT

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-v1-batch description: SPD V1 Batch. Process large, user-supplied sets of legitimate product, software, startup, app, and AI-tool directory URLs across Windows, macOS, and Linux-capable environments through normalization, deduplication, execution sharding, verification-first queues, authorization-controlled form work, idempotent submission, recovery, and truthful throughput reporting. Use when coverage and operational throughput matter more than deep per-site quality analysis. Do not use for ranking manipulation, bulk link spam, invented data, CAPTCHA bypass, paid-link acquisition, forced reciprocal links, or routes prohibited by a site's terms. ---

# SPD V1 Batch — large-batch directory operations

## Version identity

- Canonical name: `SPD V1 Batch`. - Invocation: `$submit-product-directories-v1-batch`. - Optimize for queue throughput, repeatability, verification handling, and recovery across large source lists. - Apply a fast legitimacy gate, not the deeper editorial and referral-value analysis used by `$submit-product-directories-v2-quality`. - Route campaigns requiring careful site selection, durable-placement analysis, or SEO-quality evidence to V2 Quality.

## Load controls

1. Read the verified product profile, brand rules, contact and credential aliases, approved assets, source list, batch authorization, and existing record. 2. Read [references/workflow.md](references/workflow.md) before planning or browser work. 3. Read [references/status-model.md](references/status-model.md) before writing or auditing records. 4. 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. 5. Copy [assets/submission-record-template.md](assets/submission-record-template.md) when no V1 Batch record exists.

Never invent product, company, founder, pricing, address, launch, ownership, contact, or legal facts. Keep optional unknowns blank and block required unknowns.

## Apply the batch legitimacy gate

Reject or separate any route that is irrelevant to the product, unavailable, unreleased-only, paid-link-only, forced-reciprocal, a known low-quality directory network, or prohibited for automated form work. Do not select sites because they promise dofollow links, ranking gains, DA/DR, or backlink volume.

Use only the exact brand, product name, or naked canonical URL as public link text. Never request dofollow treatment or use repeated commercial exact-match anchors.

## Build the queue

1. Normalize hostnames and submission routes. Strip tracking parameters from the record while preserving required route parameters in controlled evidence. 2. Derive an idempotency key from platform domain, product canonical ID, account alias, and route. 3. Deduplicate before opening the browser. Never execute an idempotency key that is already submitted, awaiting approval, published, or outcome unknown. 4. Assign stable queue IDs and execution shards. Treat shard size and maximum active tabs as operational settings, not SEO safety thresholds. 5. Classify every site into `direct form`, `account required`, `manual verification`, `email verification`, `paid/reciprocal`, `unavailable`, `ineligible`, or `unknown`. 6. Use batch-scoped authorization only when it names the allowed actions, source-list scope, approver alias, approval time, and expiry. Payments, reciprocal-site changes, DNS changes, and publication outside a directory require separate authorization.

## Run the verification-first pipeline

1. Run a read-only preflight over each shard before entering product-listing fields. 2. Expose the earliest native CAPTCHA, Turnstile, image code, email check, login, or similar safeguard. 3. Attempt only the site's ordinary native automatic verification. Never bypass, outsource, or weaken a safeguard. 4. Move unresolved items to one manual queue and continue processing eligible sites. 5. After the user completes the queue, recheck token validity and process short-lived tokens first. 6. Do not hold more active challenge tabs than the configured browser capacity.

## Execute forms at scale

1. Process only sites that passed the legitimacy gate, authorization check, duplicate check, and verification prerequisite. 2. Reuse approved field variants by length and category, while preserving exact public brand spelling and truthful meaning. 3. Keep newsletters and optional promotions off unless authorized. 4. Review plan, cost, URL, identity, category, agreements, uploads, and verification immediately before submission. 5. Submit sequentially within a browser profile. Record the result before advancing the queue cursor. 6. Never retry an ambiguous final action. Check the account backend, mailbox, and public page first. 7. Save drafts, transient failures, manual actions, and terminal outcomes as distinct states so the campaign can resume without replaying completed work.

## Protect records

- Store aliases and controlled evidence IDs, not passwords, OTPs, recovery codes, cookies, OAuth parameters, magic links, raw session IDs, raw email addresses, phone numbers, or tokenized URLs. - Separate the shareable campaign record from controlled evidence. - Treat a click, registration, draft, cleared form, or generic thank-you URL as insufficient submission evidence.

## Close and measure

Run:

On macOS or Linux:

```bash python3 scripts/audit_submission_record.py path/to/v1-batch-record.md python3 scripts/audit_submission_record.py path/to/v1-batch-record.md --json ```

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

```powershell py -3 scripts/audit_submission_record.py path\to\v1-batch-record.md py -3 scripts/audit_submission_record.py path\to\v1-batch-record.md --json ```

Report totals by queue state, verification state, shard, and outcome. Measure queue completion rate, verified submissions per operator hour, duplicate avoidance, recovery rate, and unresolved manual workload. Report published listings separately from submitted forms. Do not report submission volume as proof of SEO value.

## Bundled resources

- [references/workflow.md](references/workflow.md): sharding, verification queues, execution, and recovery. - [references/status-model.md](references/status-model.md): record schema and state invariants. - [references/browser-control-routing.md](references/browser-control-routing.md): backend-neutral browser selection, interaction, confirmation, recovery, and evidence rules. - [assets/submission-record-template.md](assets/submission-record-template.md): privacy-safe V1 Batch template. - `scripts/audit_submission_record.py`: batch integrity, secret, duplicate, and state auditor.

Technical details

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

Decision snapshot

Companion skill

76
Ready
Shortlist
Stage

recent repository activity

Audit

Install review

Install and adoption review

79
Needs review
Security
76/100
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-v1-batch, ready for a manual X post.

Curator note
submit-product-directories-v1-batch: SPD V1 Batch. Process large, user-supplied sets of legitimate product, software, startup, app...

483 stars

https://www.openagentskill.com/skills/flaqai-submit-product-directories-v1-batch?ref=x
Open X draft
Optional reply with install command
Listing + install path for submit-product-directories-v1-batch:
https://www.openagentskill.com/skills/flaqai-submit-product-directories-v1-batch?ref=x

Install: npx skills add flaqai/backlink_skills --skill submit-product-directories-v1-batch

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-v1-batch?metric=listed&label=Listed)](https://www.openagentskill.com/skills/flaqai-submit-product-directories-v1-batch)
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Author

F

flaqai

@flaqai

Health signals

GitHub stars
483
Quality score
42/100
Last GitHub push
Aug 21, 2026
Framework hints
Unknown
OpenAgentSkill views
13
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

Sandbox only

64
  • 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