Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add flaqai/backlink_skills --skill submit-product-directories-v1-batchgit clone --depth 1 https://github.com/flaqai/backlink_skillsWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/flaqai/backlink_skills/submit-product-directories-v1-batch)<a href="https://agentmods.dev/skills/flaqai/backlink_skills/submit-product-directories-v1-batch"><img src="https://agentmods.dev/badge/skills/flaqai/backlink_skills/submit-product-directories-v1-batch/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/flaqai/backlink_skills/submit-product-directories-v1-batch"><img src="https://agentmods.dev/badge/skills/flaqai/backlink_skills/submit-product-directories-v1-batch.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00128 | $0.01368 |
| Opus 5 | $0.00064 | $0.00684 |
| Sonnet 5 | $0.00026 | $0.00274 |
| Haiku 4.5 | $0.00013 | $0.00137 |
Grade A, and why
submit-product-directories-v1-batch scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 12d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 93 lines — stays where its author put it; the contents beside it link to each section on GitHub.
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
- Read the verified product profile, brand rules, contact and credential aliases, approved assets, source list, batch authorization, and existing record.
- Read references/workflow.md before planning or browser work.
- Read references/status-model.md before writing or auditing records.
- Read 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.
- Copy 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
What ships with it
8 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
- agents/openai.yaml 278 B
- assets/submission-record-template.md 2.3 KB
- references/browser-control-routing.md 9.0 KB
- references/status-model.md 2.8 KB
- references/workflow.md 5.7 KB
- scripts/audit_submission_record.py 12 KB runs code
- tests/test_audit_submission_record.py 5.0 KB runs code
- tests/test_browser_control_routing.py 1019 B runs code
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 12d ago First seen · 93 lines · 128 tokens per session scan A 9c6fb43f0f23
submit-product-directories-v1-batch is a skill published in the GitHub repository flaqai/backlink_skills (696 stars, last pushed 18d ago), licensed MIT. It adds 128 tokens to every session and 1,368 once invoked, about $0.0006 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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