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
Supply asset profile
Legal, policy, and compliance
Contract analysis, privacy, policy review, compliance checks, governance, and document risk review.
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
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
StrongSolid option that is likely worth shortlisting for production workflows.
Trust
Do not auto-installTrust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.
Audit
Needs reviewA 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.
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.
Suited tasks
- Legal and compliance workflows
- Claude Code teams
- builders willing to evaluate younger projects
- Extract obligations
Suited agents
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-qualityDo 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
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.
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.
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 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 JSON
/api/agent/resolve?task=Use%20submit-product-directories-v2-quality%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20submit-product-directories-v2-quality%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/flaqai-submit-product-directories-v2-quality/install
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.
Install handoff
/api/skills/flaqai-submit-product-directories-v2-quality/install
LLM text format
/api/skills/flaqai-submit-product-directories-v2-quality/install?format=text
Find alternatives
/api/skills/search?q=submit-product-directories-v2-quality&limit=3
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-qualityRegistry 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.
Manifest
/api/registry/manifest/flaqai-submit-product-directories-v2-quality
LLM text
/api/registry/manifest/flaqai-submit-product-directories-v2-quality?format=text
Install alias
/api/registry/install/flaqai-submit-product-directories-v2-quality
Recommend
/api/registry/recommend?task=Use%20submit-product-directories-v2-quality%20in%20an%20agent%20workflow&limit=3
Agent fit
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.
Agent decision cockpit
Companion skill for Legal and compliance
Shortlist this skill and compare it with close alternatives before production adoption.
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
- 1Install it in a sandbox agent and run one Legal and compliance task end to end.
- 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.
Trust profile
Do not auto-install
Trust Score v5 found insufficient evidence for agent installation. Treat this as discovery material, not an executable recommendation.
GitHub adoption
INFO483 GitHub stars
Stars/forks activity
INFO483 stars, 175 forks; issue activity unavailable in current metadata
Recent maintenance
PASS1d since push
License clarity
PASSMIT
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.
Workflow fit
Use this skill in these scenarios
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.
Workflow fit
Add it to a complete workflow
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.
Alternative shortlist
Compare before you install
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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
recent repository activity
Audit
Install review
Install and adoption review
- Security
- 71/100
- Maintenance
- 100/100
- Install
- 92/100
Agent-proven evidence
Agent-proven evidence
Outcome reports after resolve, review, install, and one narrow run.
- 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
Scenario-led draft for submit-product-directories-v2-quality, ready for a manual X post.
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
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
This listing was indexed from public sources and is not marked official until a maintainer claim is approved.
- Creator
- flaqai
- Source
- flaqai/backlink_skills
- 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 skillOwner 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.
[](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)Author
flaqai
@flaqai
Tags
Platform fit
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
- 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
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