submit-product-directories-v2-quality
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
공급 자산 프로필
법률, 정책 및 컴플라이언스
Contract analysis, privacy, policy review, compliance checks, governance, and document risk review.
시나리오
Legal and compliance
I need my agent to review contracts, privacy policies, or compliance documents and summarize risks.
Agent 적합도
Claude Code + Browser agents + CLI
Codex, Claude Code, Cursor, CLI 또는 맞춤형 Agent에 적합합니다.
설치
준비됨
npx skills add flaqai/backlink_skills --skill submit-product-directories-v2-quality
유지보수
최신
마지막 푸시 후 2일
위험
검토 필요
Dependency or permission surface needs review
GitHub 품질
483
73/100 품질 · 66/100 신뢰
커버리지 태그
검토 메모
Dependency or permission surface needs review · Permission surface may require sandboxing
Agent 채택 스코어카드
신뢰, 감사, 설치 준비 상태를 한눈에 확인하세요
이 점수는 공개 저장소 메타데이터, OpenAgentSkill 검토 신호, 유지보수 최신성, 설치 준비 상태를 결합합니다. 후보 선정 신호일 뿐, 사람의 검토를 대체하지 않습니다.
품질
강함프로덕션 워크플로 후보군에 넣을 만한 탄탄한 선택입니다.
신뢰
Do not auto-installTrust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.
감사
검토 필요설치 준비 상태, 보안 메타데이터, 유지보수 및 채택 위험에 대한 기계 판독형 검토입니다.
OpenAgentSkill 신뢰 점수 v5
설치 전 사람 검토
Choose a stronger alternative or inspect the source manually before any install attempt.
스타
GitHub 스타 483
저장소 활동
스타 483, 포크 175
유지보수
마지막 푸시 후 2일
라이선스
MIT
설치
npx skills add flaqai/backlink_skills --skill submit-product-directories-v2-quality
설치 안전성
표준 패키지 또는 런타임 설치 경로
권한 범위
secrets or environment access, shell or command execution
Agent 결과
아직 Agent 결과 데이터가 없습니다
문서
Usable metadata, review docs
위험 요약
프로덕션 전 검토
- 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
설치 준비 상태
설치 경로 사용 가능
- 설치 경로를 사용할 수 있습니다
- 저장소 근거를 사용할 수 있습니다
- 라이선스가 명시되었습니다
- 아직 Agent 검증 결과 근거가 없습니다
Agent 읽기용 메타데이터
이 스킬의 기계 판독형 의사결정 데이터.
이 블록 또는 포함된 JSON을 사용해 Agent가 이 스킬을 설치할지, 대안을 고를지, 먼저 사람의 검토를 요청할지 판단할 수 있습니다.
적합한 작업
- Legal and compliance 워크플로
- Claude Code 팀
- builders willing to evaluate younger projects
- Extract obligations
적합한 Agent
설치 결정
- 명령어
- npx skills add flaqai/backlink_skills --skill submit-product-directories-v2-quality
- 정책
- 차단
- 사람 검토
- 예
신뢰와 위험
- 신뢰
- 58/100
- 감사
- 76/100
- 위험 수준
- 검토 필요
결과 루프
- 엔드포인트
- /api/agent/outcome
- 이벤트 ID
- resolve
- 결과
- 5
설치 명령어
npx skills add flaqai/backlink_skills --skill submit-product-directories-v2-quality사용하지 말아야 할 경우
- 벤더 지원 SLA가 필요한 팀
- 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.
- 고위험 권한 힌트: Shell or command execution, Secrets or environment access
- Dependency or permission surface needs review
Agent 안전 v2
36/100 · 자동 설치 피하기
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.
높음
Shell 또는 명령 실행
Skill 메타데이터가 터미널, CLI, Shell, 하위 프로세스 또는 명령 실행 워크플로를 참조합니다.
중간
Browser automation
Skill may drive a browser or interact with web pages.
중간
네트워크 접근
Skill은 원격 페이지, API, 저장소 또는 외부 서비스에 접근할 수 있습니다.
높음
Secrets or environment access
Skill metadata references credentials, tokens, environment variables, or secret-bearing workflows.
- 고위험 권한 힌트: Shell or command execution, Secrets or environment access
- Dependency or permission surface needs review
설치 대상
Agent 워크플로에 이 스킬 설치
공개 설치 엔드포인트에서 명령어, 안전 체크리스트, 대상 프롬프트와 정규 링크를 가져옵니다.
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-qualityAgent 해결 계획
설치 전에 Agent가 적합성을 검증하게 하세요.
Resolve API는 최우선 스킬, 대안, 안전 정책, 감사 메모, 설치 대상 및 Agent가 페이지를 스크래핑하지 않고 사용할 수 있는 프롬프트를 반환합니다.
JSON 열기
/api/agent/resolve?task=Use%20submit-product-directories-v2-quality%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve 텍스트
/api/agent/resolve?task=Use%20submit-product-directories-v2-quality%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
설치 핸드오프
/api/skills/flaqai-submit-product-directories-v2-quality/install
Agent가 확인할 항목
- Resolve API에서 작업 적합도와 대안을 확인합니다.
- 감사 점수, 신뢰 점수 및 안전 정책 경고를 확인합니다.
- Codex, Claude Code, Cursor 또는 CLI의 설치 대상 호환성을 확인합니다.
프롬프트 복사
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 핸드오프
또 다른 디렉터리 페이지 대신 설치 경로를 Agent에게 제공합니다.
공개 설치 엔드포인트에서 명령어, 안전 체크리스트, 대상 프롬프트와 정규 링크를 가져옵니다.
설치 핸드오프
/api/skills/flaqai-submit-product-directories-v2-quality/install
LLM 텍스트 형식
/api/skills/flaqai-submit-product-directories-v2-quality/install?format=text
대안 찾기
/api/skills/search?q=submit-product-directories-v2-quality&limit=3
Agent 프롬프트
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-qualityRegistry 메타데이터
자동 스킬 선택을 위한 Agent 읽기용 프로필.
Registry API를 통해 동일한 결정, 신뢰, 감사, 사용 사례, 설치 신호를 제공하므로 Agent가 UI를 스크래핑하지 않고도 순위를 매길 수 있습니다.
Manifest
/api/registry/manifest/flaqai-submit-product-directories-v2-quality
LLM 텍스트
/api/registry/manifest/flaqai-submit-product-directories-v2-quality?format=text
설치 별칭
/api/registry/install/flaqai-submit-product-directories-v2-quality
추천
/api/registry/recommend?task=Use%20submit-product-directories-v2-quality%20in%20an%20agent%20workflow&limit=3
Agent 적합도
Legal and compliance
플랫폼
Claude Code, Browser agents
Agent 결정 패널
Companion skill for Legal and compliance
이 스킬을 후보군에 넣고 프로덕션 채택 전에 유사 대안과 비교하세요.
스택 내 역할
보조 스킬
주요 적합도
Legal and compliance
신뢰 라벨
강력한 후보
설치 경로
명령어 준비됨
사용 시점
- Legal and compliance 워크플로
- Claude Code 팀
- builders willing to evaluate younger projects
근거
- 최근 저장소 활동
- 설치 명령 또는 GitHub 저장소를 사용할 수 있습니다
- 품질 프로필 73/100
- OpenAgentSkill 상호작용 5건
먼저 검토
- 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.
구현 경로
- 1샌드박스 Agent에 설치하고 Legal and compliance 작업을 처음부터 끝까지 한 번 실행하세요.
- 2Compare output quality, latency, and failure behavior against at least one alternative.
- 3Promote it into production only after reviewing repository permissions, license, and maintenance signals.
신뢰 프로필
Do not auto-install
Trust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.
GitHub 채택도
정보GitHub 스타 483
스타/포크 활동
정보스타 483, 포크 175; 현재 메타데이터에서 이슈 활동을 확인할 수 없습니다
최근 유지보수
통과마지막 푸시 후 2일
라이선스 명확성
통과MIT
긍정 신호
- AI 검토 승인됨
- 설치 경로를 사용할 수 있습니다
- 저장소 근거를 사용할 수 있습니다
- 최근 유지보수된 저장소
- 설치 명령에서 뚜렷한 고위험 패턴이 발견되지 않았습니다
- 결과 루프는 준비되었지만 첫 실제 Agent 실행이 필요합니다
설치 전 검토
- 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
- 아직 실제 Agent 결과 보고서가 없습니다
- 무인 설치 전에 사람 검토가 필요합니다
권장 작업
Choose a stronger alternative or inspect the source manually before any install attempt.
품질 프로필
강함 Agent 워크플로용 후보
프로덕션 워크플로 후보군에 넣을 만한 탄탄한 선택입니다.
워크플로 적합도
이 스킬을 사용할 시나리오
Review risk
Legal and compliance
I need my agent to review contracts, privacy policies, or compliance documents and summarize risks.
Reduce risk
Security and compliance
I need my agent to scan a project for security risks and summarize what needs attention.
Operate local tools
Local desktop
I need my agent to operate local files and desktop apps in a repeatable workflow.
워크플로 적합도
완전한 워크플로에 추가
Turn skills into distribution
Content growth agent
A workflow for turning newly indexed skills into SEO briefs, social drafts, comparison pages, and reusable publishing workflows.
Operate and verify web apps
Browser QA agent
A workflow for agents that navigate products, fill forms, take screenshots, and verify real user flows across web applications.
Find, compare, and synthesize
Research report agent
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
대안 후보
설치 전 비교
이 작업에 적합할 수 있는 유사 스킬입니다.
Wazuh
Wazuh - The Open Source Security Platform. Unified XDR and SIEM protection for endpoints and cloud workloads.
Maigret
🕵️♂️ Collect a dossier on a person by username from 3000+ sites
Nuclei
Nuclei is a fast, customizable vulnerability scanner powered by the global security community and built on a simple YAML-based DSL, enabling collaboration to tackle trending vulnerabilities on the internet. It helps you find vulnerabilities in your applications, APIs, networks, DNS, and cloud configurations.
Infisical
Infisical is the open-source platform for secrets, certificates, and privileged access management.
개요
--- 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.
기술 세부 사항
- 버전
- 1.0.0
- 라이선스
- MIT
- 최근 업데이트
- 2026년 8월 21일
- 게시일
- 2026년 8월 21일
결정 스냅샷
보조 스킬
최근 저장소 활동
Agent 검증 증거
Agent 검증 증거
Resolve, 검토, 설치 및 한 번의 제한된 실행 후 결과 보고서입니다.
- 성공률
- —
- 최근 실패
- —
- 결과
- 0
- 출력 품질
- —
- 실패
- 0
- 관련 없음
- 0
- 설치
- 0
- 위험 차단
- 0
- 설정 필요
- 0
- 프로덕션
- 0
아직 Agent 결과 데이터가 없습니다. 첫 실행은 /api/agent/outcome을 통해 성공, 설정 필요, 위험 차단, 실패 또는 비관련 결과를 보고할 수 있습니다.
성장 루프
공유 키트
submit-product-directories-v2-quality용 시나리오 기반 초안입니다. X에 수동으로 게시할 수 있습니다.
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
선택 사항: 설치 명령이 포함된 답글
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
등록 출처
Registry 색인
이 등록은 공개 소스에서 색인되었으며 유지보수자 소유권 주장이 승인될 때까지 공식으로 표시되지 않습니다.
- 제작자
- flaqai
- 색인 주체
- OpenAgentSkill 커뮤니티 인덱스
귀속은 공개 저장소 또는 제작자 프로필에 연결됩니다. 제작자는 등록을 주장하여 소유권 신호를 업데이트할 수 있습니다.
이 스킬 소유권 주장소유자 소유권 주장
이 스킬 등록 소유권 주장
이 Registry 색인 등록은 flaqai에게 귀속되어 있지만 아직 공식으로 표시되지 않았습니다. 소유권을 주장하면 확인된 소유자 신호가 추가되어 이후 출시, 설치 및 감사 업데이트를 더 신뢰할 수 있습니다.
크리에이터 백링크 키트
README에 증거 배지 추가
개발자가 저장소를 평가하는 위치에 정규 등록, 현재 신뢰 및 감사 신호, 실제 Agent-Proven 증거를 표시합니다.
[](https://www.openagentskill.com/skills/flaqai-submit-product-directories-v2-quality)
[](https://www.openagentskill.com/skills/flaqai-submit-product-directories-v2-quality)
[](https://www.openagentskill.com/skills/flaqai-submit-product-directories-v2-quality/audit)
[](https://www.openagentskill.com/skills/flaqai-submit-product-directories-v2-quality)작성자
flaqai
@flaqai
플랫폼 적합도
상태 신호
- GitHub 스타
- 483
- 품질 점수
- 42/100
- 최근 GitHub 푸시
- 2026년 8월 21일
- 프레임워크 힌트
- 알 수 없음
- OpenAgentSkill 조회수
- 5
- 설치 명령 복사
- 0
- 외부 클릭
- 0
커뮤니티 신호
이 스킬이 Agent 워크플로에 유용한지 알려 주세요. 집계된 피드백은 시간이 지날수록 순위를 개선합니다.
신뢰와 안전
Do not auto-install
- GitHub 채택도GitHub 스타 483정보
- 스타/포크 활동스타 483, 포크 175; 현재 메타데이터에서 이슈 활동을 확인할 수 없습니다정보
- 최근 유지보수마지막 푸시 후 2일통과
- 라이선스 명확성MIT통과
- README/SKILL.md 완성도공개 메타데이터에 더 충실한 README/SKILL.md 맥락이 필요합니다정보
- 의존성/런타임 위험command execution surface, credential or environment access확인
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