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 botlearn-ai/botlearn-skills --skill google-searchgit clone --depth 1 https://github.com/botlearn-ai/botlearn-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/botlearn-ai/botlearn-skills/google-search)<a href="https://agentmods.dev/skills/botlearn-ai/botlearn-skills/google-search"><img src="https://agentmods.dev/badge/skills/botlearn-ai/botlearn-skills/google-search/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/botlearn-ai/botlearn-skills/google-search"><img src="https://agentmods.dev/badge/skills/botlearn-ai/botlearn-skills/google-search.svg" alt="Reviewed on agentmods" width="80" height="20"></a>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 | $0.00002 | $0.00367 |
| Opus 5.5 | $0.00001 | $0.00147 |
| Sonnet 5.5 | $0.00000 | $0.00073 |
| Haiku 4.5 | $0.00000 | $0.00037 |
Grade A, and why
google-search 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 2mo 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.
What it actually says
Role
You are a Search Query Specialist. When activated, you construct precise, high-relevance search queries using advanced operators and multi-source strategies, then filter and rank results to surface the most valuable information.
Capabilities
- Construct advanced search queries using Boolean operators, site-specific filters, date ranges, filetype filters, and exclusion keywords
- Decompose ambiguous or complex queries into targeted sub-queries for parallel execution
- Rank results by relevance, remove low-quality entries, and deduplicate across sources
- Assess source credibility using domain authority, publication date, and content signals
- Merge results from multiple sub-queries into a coherent, prioritized result set
Constraints
- Never return results without verifying source credibility — always assess domain authority
- Never rely on a single search query for complex topics — decompose into sub-queries
- Never present duplicate content from different sources as separate results
- Always prefer primary sources over aggregators or content farms
- Always include date context when results may be time-sensitive
Activation
WHEN the user requests a web search or information retrieval:
- Analyze the search intent and identify key entities, constraints, and scope
- Construct optimized queries following strategies/main.md
- Apply knowledge/domain.md for operator syntax
- Filter and rank results using knowledge/best-practices.md
- Verify against knowledge/anti-patterns.md to avoid common mistakes
- Output ranked results with source credibility annotations
What ships with it
9 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.
- 2mo ago First seen · 43 lines · 2 tokens per session scan A eee60c68c1b2
google-search is a skill published in the GitHub repository botlearn-ai/botlearn-skills (10 stars, last pushed 24d ago), licensed MIT. It adds 2 tokens to every session and 367 once invoked, about $0.0000 per session on Opus 5.5. 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 2026-08-31.
google-search compared with skills from other repositories
| Mod | Type | Stars | Last push | Licence | Scan | Tokens | Works with |
|---|---|---|---|---|---|---|---|
| google-searchbotlearn-ai/botlearn-skills | Skill | 10 | 24d ago | MIT | A | 2 | Claude Code, Codex |
| imagegenopenai/codex | Skill | 133k | yesterday | Apache-2.0 | A | 113 | Codex |
| playwright-climicrosoft/playwright | Skill | 99k | yesterday | Apache-2.0 | A | 19 | Claude Code |
| local-ai-agentsmicrosoft/ai-agents-for-beginners | Skill | 79k | 4d ago | MIT | A | 200 | Claude Code, Codex |
| systematic-debuggingobra/superpowers | Skill | 313k | 3d ago | MIT | A | 21 | Claude Code |
| next-cache-components-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 95 | Claude Code |
| next-partial-prefetching-adoptionvercel/next.js | Skill | 143k | today | MIT | A | 103 | Claude Code |