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 sandbaseai/sandbase-skills --skill seo-keyword-insightsgit clone --depth 1 https://github.com/sandbaseai/sandbase-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/sandbaseai/sandbase-skills/seo-keyword-insights)<a href="https://agentmods.dev/skills/sandbaseai/sandbase-skills/seo-keyword-insights"><img src="https://agentmods.dev/badge/skills/sandbaseai/sandbase-skills/seo-keyword-insights/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/sandbaseai/sandbase-skills/seo-keyword-insights"><img src="https://agentmods.dev/badge/skills/sandbaseai/sandbase-skills/seo-keyword-insights.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 | $0.00071 | $0.01939 |
| Opus 5 | $0.00036 | $0.00970 |
| Sonnet 5 | $0.00014 | $0.00388 |
| Haiku 4.5 | $0.00007 | $0.00194 |
Grade A, and why
seo-keyword-insights 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 — 122 lines — stays where its author put it; the contents beside it link to each section on GitHub.
SEO Keyword Insights
Build a decision-ready organic-search strategy from a site, product, seed topic, or competitor set. This Skill is a SandBase API workflow: it calls the named SEO capabilities in the SandBase API map through the SandBase MCP gateway. In a SandBase Agent, run the capabilities directly. In another compatible agent, require an authorized SandBase connection before starting; never request, print, or store an API key in the research output.
The primary capability is DataForSEO keyword search through SandBase: discover candidates, validate demand and difficulty, compare site visibility, and inspect live SERPs. Read example workflows when the user needs a starting prompt or wants to understand the output.
Operating principles
- Start from the business and audience, not a brand-name keyword list.
- Treat tool-returned metrics and SERP results as evidence; treat model-generated keywords, intent labels, and recommendations as hypotheses or judgment.
- Select the country, language, device, and search engine deliberately. State any default rather than silently assuming a market.
- Optimize for qualified organic traffic and the site's conversion model, not volume alone.
- Inspect live SERPs before recommending a page type or claiming a ranking opportunity.
- Keep user domains, competitor lists, raw exports, and strategy confidential. Return a summarized report unless raw data is requested.
Workflow
1. Frame the decision
Collect or infer the target site or product, target market, language, conversion goal, audience, content scope, and competitors. Classify the request as one or more of: discovery, site opportunity, competitor gap, content roadmap, or page keyword map.
If a site is supplied, form a compact site brief before researching: category, offer, ICP, jobs-to-be-done, differentiators, conversion action, current content themes, and exclusions. Inspect the homepage and a small set of representative product, use-case, pricing, docs, and content pages. Use a SandBase site/content capability when available; use SandBase web search only as a fallback. Record inaccessible or JavaScript-heavy pages as evidence gaps.
What ships with it
3 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.
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 · 122 lines · 71 tokens per session scan A 1fbd9c17d81b
seo-keyword-insights is a skill published in the GitHub repository sandbaseai/sandbase-skills (159 stars, last pushed 3d ago), licensed Apache-2.0. It adds 71 tokens to every session and 1,939 once invoked, about $0.0004 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.
Other skills, from other repositories
skill
Ten native DSH tools give a text-only agent eyes. Use these structured tools directly; do not shell out to the bundled Python scripts or reproduce their implementation. Vision API credentials and model settings are managed by the plugin, so tool calls do not receive credentials.
modsearch
Plug-in web search, X (Twitter) search, and page fetch for models without native web access. Use whenever the task needs current information, external facts, source links, posts from X, or the content of a specific URL, and the active model/harness has no native search or fetch tool. Runs the modsearch CLI to return…
submit-dsh-plugin
A submission checklist and workflow for adding a DeepSeek Harness plugin to the community’s public catalogue. It prepares the catalogue entry and checks the plugin’s repository, metadata, tests, and required files.
dsh-plugin-dev
A guide for building and debugging plugins for DeepSeek Harness, a developer-preview tool built on the Cordis component framework. It explains how plugins are exported, loaded, and connected to services.
dsh-first-plugin
A step-by-step guide for building and installing a first DSH plugin. DSH is a software tool whose plugins can add tools, connect outside services, or respond to agent events.
dsh-skill-dev
A specialist review agent for software that handles purchasing, suppliers, payments, or spending approvals.