submit-product-directories-v1-batch

Tinjau · 64
Diindeks di Registry

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
Star483
Versi1.0.0
Kualitas74/100 · Kuat
Kepercayaan64/100 · Hanya sandbox
Audit79/100 · Perlu ditinjau

Profil aset

Agent pemrograman dan pengembangan

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

Lihat kategori

Skenario

GitHub automation

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

Kecocokan Agent

Claude Code + Cursor + Browser agents

Cocok untuk Codex, Claude Code, Cursor, CLI, atau Agent khusus.

Pasang

Siap

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

Pemeliharaan

Terkini

2 hari sejak push

Risiko

Perlu ditinjau

Dependency or permission surface needs review

Kualitas GitHub

483

74/100 Kualitas · 72/100 Kepercayaan

Tag cakupan

CodingGitHub automationDesain dan kreatifagent-skill

Catatan ulasan

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

Kartu adopsi Agent

Kepercayaan, audit, dan kesiapan pemasangan dalam sekali lihat

Skor ini menggabungkan metadata repositori publik, sinyal ulasan OpenAgentSkill, kebaruan pemeliharaan, dan kesiapan pemasangan. Ini adalah sinyal shortlist, bukan pengganti peninjauan manusia.

Kualitas

Kuat
74

Solid option that is likely worth shortlisting for production workflows.

Kepercayaan

Hanya sandbox
64

Kandidat berguna dengan sinyal kepercayaan yang kurang atau bercampur. Gunakan di ruang kerja terisolasi hingga loop hasil membuktikan kecocokan tugas.

Audit

Perlu ditinjau
79

Tinjauan yang dapat dibaca mesin tentang kesiapan pemasangan, metadata keamanan, pemeliharaan, dan risiko adopsi.

Trust Score OpenAgentSkill v5

Tinjauan manusia sebelum pemasangan

Jalankan hanya dalam sandbox dan bandingkan alternatif terdekat sebelum digunakan untuk kerja nyata.

CodexClaude CodeCursorOpenAgentSkill CLI

Star

483 star GitHub

Aktivitas repositori

483 star dan 175 fork

Pemeliharaan

2 hari sejak push

Lisensi

MIT

Pasang

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

Keamanan pemasangan

Jalur pemasangan paket atau runtime standar

Cakupan izin

secrets or environment access, shell or command execution

Hasil Agent

Belum ada data hasil Agent

Dokumentasi

Usable metadata, review docs

Ringkasan risiko

Tinjau sebelum produksi

  • 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

Kesiapan pemasangan

Jalur pemasangan tersedia

  • Jalur pemasangan tersedia
  • Bukti repositori tersedia
  • Lisensi dinyatakan
  • Belum ada bukti hasil Agent-Proven

Metadata yang dapat dibaca Agent

Data keputusan yang dapat dibaca mesin untuk skill ini.

Gunakan blok ini atau JSON tersemat untuk memutuskan apakah Agent perlu memasang skill ini, memilih alternatif, atau meminta tinjauan manusia terlebih dahulu.

Buka JSON

Tugas yang sesuai

  • alur kerja GitHub automation
  • Tim Claude Code
  • builders willing to evaluate younger projects
  • Inspect repository metadata

Agent yang sesuai

CodexClaude CodeCursorOpenAgentSkill CLIBrowser agentsCLI

Keputusan pemasangan

Perintah
npx skills add flaqai/backlink_skills --skill submit-product-directories-v1-batch
Kebijakan
Blokir
Tinjauan manusia
Ya

Kepercayaan dan risiko

Kepercayaan
64/100
Audit
79/100
Tingkat risiko
Perlu ditinjau

Lingkar hasil

Endpoint
/api/agent/outcome
ID event
resolve
Hasil
5

Perintah pemasangan

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

Jangan gunakan ketika

  • Tim yang membutuhkan SLA dengan dukungan vendor
  • Lingkungan berkompliansi tinggi tanpa tinjauan keamanan internal
  • No major risk signals from current metadata
  • Petunjuk izin berisiko tinggi: Shell or command execution, Secrets or environment access
  • Dependency or permission surface needs review

Keamanan Agent v2

35/100 · Hindari pemasangan otomatis

Blocked for auto-installBlokir

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.

Selesaikan via API

Tinggi

Eksekusi shell atau perintah

Metadata skill merujuk terminal, CLI, shell, subprocess, atau alur kerja eksekusi perintah.

Sedang

Browser automation

Skill may drive a browser or interact with web pages.

Sedang

Akses jaringan

Skill kemungkinan mengambil halaman jarak jauh, API, repositori, atau layanan eksternal.

Tinggi

Secrets or environment access

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

  • Petunjuk izin berisiko tinggi: Shell or command execution, Secrets or environment access
  • Dependency or permission surface needs review

Target pemasangan

Pasang skill ini di alur Agent Anda

Gunakan endpoint publik untuk mengambil perintah, checklist keamanan, prompt target, dan tautan kanonis.

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

Rencana resolusi Agent

Biarkan Agent memverifikasi kecocokan sebelum memasang.

API Resolve mengembalikan skill utama, alternatif, kebijakan keamanan, catatan audit, target pemasangan, dan prompt siap pakai.

Buka rencana teks

Agent harus memeriksa

  • 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.

Salin 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.

Serah-terima Agent

Berikan jalur pemasangan kepada Agent, bukan direktori lain.

Gunakan endpoint publik untuk mengambil perintah, checklist keamanan, prompt target, dan tautan kanonis.

Buka API pemasangan

Prompt Agent

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

Metadata Registry

Profil yang dapat dibaca Agent untuk pemilihan skill otomatis.

API Registry menyediakan sinyal keputusan, kepercayaan, audit, use case, dan pemasangan tanpa mengikis UI.

Buka Manifest

Kecocokan Agent

76/100

GitHub automation

Platform

Claude Code, Cursor, Browser agents

Laporan audit

Perlu ditinjau · 79/100

Tinjauan yang dapat dibaca mesin tentang kesiapan pemasangan, metadata keamanan, pemeliharaan, dan risiko adopsi.

Lihat laporan auditLihat laporan evaluasi

Panel keputusan Agent

Companion skill for GitHub automation

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

76
Kesiapan
Shortlist
Tahap

Peran di stack

Skill pendamping

Kecocokan utama

GitHub automation

Label kepercayaan

Shortlist kuat

Jalur pemasangan

Perintah siap

Gunakan saat

  • alur kerja GitHub automation
  • Tim Claude Code
  • builders willing to evaluate younger projects

Bukti

  • recent repository activity
  • install command or GitHub repo available
  • profil kualitas 74/100
  • 13 event interaksi OpenAgentSkill

tinjau dulu

  • No major risk signals from current metadata

Jalur implementasi

  1. 1Pasang di Agent sandbox dan jalankan satu tugas GitHub automation dari awal hingga akhir.
  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.

Profil kepercayaan

Hanya sandbox

Kandidat berguna dengan sinyal kepercayaan yang kurang atau bercampur. Gunakan di ruang kerja terisolasi hingga loop hasil membuktikan kecocokan tugas.

64
Trust Score OpenAgentSkill

Adopsi GitHub

Info

483 star GitHub

Aktivitas star/fork

Info

483 star dan 175 fork; aktivitas issue tidak tersedia dalam metadata saat ini

Pemeliharaan terbaru

Lulus

2 hari sejak push

Kejelasan lisensi

Lulus

MIT

Sinyal positif

  • Tinjauan AI disetujui
  • Jalur pemasangan tersedia
  • Bukti repositori tersedia
  • Repositori yang baru dipelihara
  • Perintah pemasangan tidak memiliki pola berisiko tinggi yang jelas
  • Loop hasil siap tetapi membutuhkan eksekusi Agent nyata pertama

Tinjau sebelum memasang

  • 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
  • Belum ada laporan hasil Agent nyata
  • Tinjauan manusia diperlukan sebelum pemasangan tanpa pengawasan

Tindakan yang disarankan

Jalankan hanya dalam sandbox dan bandingkan alternatif terdekat sebelum digunakan untuk kerja nyata.

Profil kualitas

Kuat kandidat untuk alur kerja Agent

Solid option that is likely worth shortlisting for production workflows.

74
Star GitHub
483
Keterkinian
2 hari lalu
Siap dipasang
Ya
Lisensi
MIT

Kecocokan alur kerja

Gunakan skill ini pada skenario berikut

Kecocokan alur kerja

Tambahkan ke alur kerja lengkap

Daftar alternatif

Bandingkan sebelum memasang

Similar skills that may fit this task.

Bandingkan semua

Ringkasan

--- 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.

Detail teknis

Versi
1.0.0
Lisensi
MIT
Pembaruan terakhir
21 Agu 2026
Diterbitkan
21 Agu 2026

Ringkasan keputusan

Skill pendamping

76
Siap
Shortlist
Tahap

recent repository activity

Audit

Tinjauan pemasangan

Tinjauan pemasangan dan adopsi

79
Perlu ditinjau
Keamanan
76/100
Pemeliharaan
100/100
Pasang
92/100
Buka audit lengkapLihat laporan evaluasi

Bukti tervalidasi Agent

Bukti tervalidasi Agent

Laporan hasil setelah resolve, tinjau, pasang, dan satu eksekusi terbatas.

0
Terbukti
Needs first agent runPasang otomatis: tinjau duluTerakhir: Tidak diketahui
Tingkat sukses
Kegagalan terbaru
Hasil
0
Kualitas output
Gagal
0
Tidak relevan
0
Pemasangan
0
Diblokir risiko
0
Perlu penyiapan
0
Produksi
0

Belum ada data hasil Agent. Eksekusi pertama dapat melaporkan keberhasilan, kebutuhan setup, blok risiko, kegagalan, atau tidak relevan melalui /api/agent/outcome.

Pasang

Tambahkan ke alur Agent

Gratis dan sumber terbuka. Tinjau laporan sebelum memasang pada Agent produksi.

Siklus pertumbuhan

Kit berbagi

X

Draf berbasis skenario untuk submit-product-directories-v1-batch, siap untuk posting manual di X.

Catatan kurator
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
Buka draf X
Balasan opsional dengan perintah pemasangan
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
Buka draf balasan

Sumber listing

Diindeks Registry

Dapat diklaim

Listing ini diindeks dari sumber publik dan belum ditandai resmi hingga klaim pemelihara disetujui.

Kreator
flaqai
Diindeks oleh
Indeks komunitas OpenAgentSkill

Atribusi menautkan ke repositori publik atau profil kreator. Kreator dapat mengklaim listing untuk memperbarui sinyal kepemilikan.

Klaim skill ini

Klaim pemilik

Klaim listing skill ini

Listing Diindeks Registry ini dikaitkan dengan flaqai, tetapi belum ditandai resmi. Klaim untuk menambahkan sinyal pemilik terverifikasi dan membuat pembaruan peluncuran, pemasangan, serta audit berikutnya lebih tepercaya.

Kit backlink kreator

Tambahkan badge bukti ke README Anda

Tampilkan listing kanonis, sinyal kepercayaan dan audit saat ini, serta bukti Agent-Proven nyata di tempat pengembang mengevaluasi repositori.

[![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)
[![OpenAgentSkill Trust](https://www.openagentskill.com/api/badge/flaqai-submit-product-directories-v1-batch?metric=trust&label=Trust)](https://www.openagentskill.com/skills/flaqai-submit-product-directories-v1-batch)
[![OpenAgentSkill Audit](https://www.openagentskill.com/api/badge/flaqai-submit-product-directories-v1-batch?metric=audit&label=Audit)](https://www.openagentskill.com/skills/flaqai-submit-product-directories-v1-batch/audit)
[![Agent Proven](https://www.openagentskill.com/api/badge/flaqai-submit-product-directories-v1-batch?metric=proven&label=Agent%20Proven)](https://www.openagentskill.com/skills/flaqai-submit-product-directories-v1-batch)

Penulis

F

flaqai

@flaqai

Sinyal kesehatan

Star GitHub
483
Skor kualitas
42/100
Push GitHub terakhir
21 Agu 2026
Petunjuk framework
Tidak diketahui
Tampilan OpenAgentSkill
13
Salinan pemasangan
0
Klik keluar
0

Sinyal komunitas

Bagikan apakah skill ini bermanfaat untuk alur kerja Agent Anda. Masukan gabungan meningkatkan peringkat dari waktu ke waktu.

Kepercayaan & keamanan

Hanya sandbox

64
  • Adopsi GitHub483 star GitHubInfo
  • Aktivitas star/fork483 star dan 175 fork; aktivitas issue tidak tersedia dalam metadata saat iniInfo
  • Pemeliharaan terbaru2 hari sejak pushLulus
  • Kejelasan lisensiMITLulus
  • Kelengkapan README/SKILL.mdMetadata publik memerlukan konteks README/SKILL.md yang lebih kuatInfo
  • Risiko dependensi/runtimecommand execution surface, credential or environment accessPeriksa