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 STELIORD/agentic-awesome-skills --skill algolia-searchgit clone --depth 1 https://github.com/STELIORD/agentic-awesome-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/steliord/agentic-awesome-skills/algolia-search)<a href="https://agentmods.dev/skills/steliord/agentic-awesome-skills/algolia-search"><img src="https://agentmods.dev/badge/skills/steliord/agentic-awesome-skills/algolia-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/steliord/agentic-awesome-skills/algolia-search"><img src="https://agentmods.dev/badge/skills/steliord/agentic-awesome-skills/algolia-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 | $0.00022 | $0.05922 |
| Opus 5 | $0.00011 | $0.02961 |
| Sonnet 5 | $0.00004 | $0.01184 |
| Haiku 4.5 | $0.00002 | $0.00592 |
Grade A, and why
algolia-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 7d 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.
This is a copy
100% identical to algolia-search — 897 lines differ, which has more behind it and is treated as the original. This page carries a canonical link to it rather than competing with it.
How it starts
The opening of the file, as written. The whole thing — 925 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Algolia Search Integration
Expert patterns for Algolia search implementation, indexing strategies, React InstantSearch, and relevance tuning
Patterns
React InstantSearch with Hooks
Modern React InstantSearch setup using hooks for type-ahead search.
Uses react-instantsearch-hooks-web package with algoliasearch client. Widgets are components that can be customized with classnames.
Key hooks:
- useSearchBox: Search input handling
- useHits: Access search results
- useRefinementList: Facet filtering
- usePagination: Result pagination
- useInstantSearch: Full state access
Code_example
// lib/algolia.ts import algoliasearch from 'algoliasearch/lite';
export const searchClient = algoliasearch( process.env.NEXT_PUBLIC_ALGOLIA_APP_ID!, process.env.NEXT_PUBLIC_ALGOLIA_SEARCH_KEY! // Search-only key! );
export const INDEX_NAME = 'products';
// components/Search.tsx 'use client'; import { InstantSearch, SearchBox, Hits, Configure } from 'react-instantsearch'; import { searchClient, INDEX_NAME } from '@/lib/algolia';
function Hit({ hit }: { hit: ProductHit }) { return ( {hit.name} {hit.description} ${hit.price} ); }
export function ProductSearch() { return ( <SearchBox placeholder="Search products..." classNames={{ root: 'relative', input: 'w-full px-4 py-2 border rounded', }} /> ); }
// Custom hook usage import { useSearchBox, useHits, useInstantSearch } from 'react-instantsearch';
function CustomSearch() { const { query, refine } = useSearchBox(); const { hits } = useHits(); const { status } = useInstantSearch();
return ( <input value={query} onChange={(e) => refine(e.target.value)} placeholder="Search..." /> {status === 'loading' && Loading...} {hits.map((hit) => ( {hit.name} ))} ); }
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.
- 7d ago First seen · 925 lines · 22 tokens per session scan A 46c427552a4a
algolia-search is a skill published in the GitHub repository STELIORD/agentic-awesome-skills (1 stars, last pushed 1mo ago), licensed MIT. It adds 22 tokens to every session and 5,922 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. It is 100% identical to algolia-search, differing in 897 lines, and is treated as a copy.
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