submit-product-directories-v1-batch
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
Supply asset profile
Coding and developer agents
Code review, repo analysis, testing, CI, GitHub, DevOps, and developer workflow skills.
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
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
Sandbox onlyUseful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
Audit
Needs reviewA 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.
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.
Suited tasks
- GitHub automation workflows
- Claude Code teams
- builders willing to evaluate younger projects
- Inspect repository metadata
Suited agents
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-batchDo 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
Alternative
Frontend Design
170.9K Stars
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Alternative
Taste Skill: Anti-Slop Frontend
79.0K Stars
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Alternative
Canvas Design
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npx skills add anthropics/skills --skill brand-guidelines
Agent safety v2
35/100 · 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-v1-batchAgent 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-v1-batch%20for%20an%20agent%20workflow&agent=codex&max_risk=medium
Resolve text
/api/agent/resolve?task=Use%20submit-product-directories-v1-batch%20for%20an%20agent%20workflow&agent=codex&max_risk=medium&format=text
Install handoff
/api/skills/flaqai-submit-product-directories-v1-batch/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-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.
Install handoff
/api/skills/flaqai-submit-product-directories-v1-batch/install
LLM text format
/api/skills/flaqai-submit-product-directories-v1-batch/install?format=text
Find alternatives
/api/skills/search?q=submit-product-directories-v1-batch&limit=3
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-batchRegistry 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-v1-batch
LLM text
/api/registry/manifest/flaqai-submit-product-directories-v1-batch?format=text
Install alias
/api/registry/install/flaqai-submit-product-directories-v1-batch
Recommend
/api/registry/recommend?task=Use%20submit-product-directories-v1-batch%20in%20an%20agent%20workflow&limit=3
Agent fit
GitHub automation
Use-case tags
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.
Agent decision cockpit
Companion skill for GitHub automation
Shortlist this skill and compare it with close alternatives before production adoption.
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
- 1Install it in a sandbox agent and run one GitHub automation 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
Sandbox only
Useful candidate with missing or mixed trust signals. Keep it in an isolated workspace until the outcome loop proves task fit.
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
- 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.
Workflow fit
Use this skill in these scenarios
Manage repositories
GitHub automation
I need my agent to triage GitHub issues, review pull requests, and summarize repository changes.
Operate local tools
Local desktop
I need my agent to operate local files and desktop apps in a repeatable workflow.
Investigate faster
Research agents
I need my agent to research a topic, compare sources, and produce a concise report.
Workflow fit
Add it to a complete workflow
Find, compare, and synthesize
Research report agent
A workflow for agents that gather sources, compare claims, summarize long material, and draft useful research briefs.
Design, build, test, and ship interfaces
Frontend and UI
A practical workflow for agents that turn product briefs or Figma designs into polished frontend code, review the result, test it in a browser, and prepare a safe deployment.
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.
Alternative shortlist
Compare before you install
Similar skills that may fit this task.
Frontend Design
Guidance for distinctive, intentional UI design, typography, visual direction, and non-template-like product interfaces.
Taste Skill: Anti-Slop Frontend
Design and implementation guidance for distinctive landing pages, portfolios, product demos, and purposeful redesigns.
Canvas Design
Create original visual art, posters, PNG assets, and PDF documents through a clear design philosophy.
Anthropic Brand Guidelines
Apply Anthropic official brand colors, typography, and visual standards to appropriate Anthropic-related artifacts.
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
recent repository activity
Audit
Install review
Install and adoption review
- Security
- 76/100
- 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-v1-batch, ready for a manual X post.
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
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
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-v1-batch)
[](https://www.openagentskill.com/skills/flaqai-submit-product-directories-v1-batch)
[](https://www.openagentskill.com/skills/flaqai-submit-product-directories-v1-batch/audit)
[](https://www.openagentskill.com/skills/flaqai-submit-product-directories-v1-batch)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
- 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
- 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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