hybrid-search-implementation

hybrid-search-implementation is a skill for Claude Code from sandbaseai/sandbase-skills. It costs 41 tokens per session (602 once invoked), scanned A, a copy of accessibility-review, Apache-2.0.

A workflow for planning, building, or reviewing hybrid search in an existing codebase. Hybrid search combines more than one search method to find relevant results.

In plain words
What is it for?
It helps inspect the repository, preserve existing interfaces, implement the smallest change, and run focused checks on the result.
Why use it?
It helps prevent incompatible changes, unnecessary dependencies, security problems, and unverified search behavior.

Skill for Claude Code

Written for Claude Code: shipped in a Claude Code plugin.

Part of the sandbase-skills plugin — 244 skills shipped together

Good fit It helps inspect the repository, preserve existing interfaces, implement the smallest change, and run focused checks on the result.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/sandbaseai/sandbase-skills/hybrid-search-implementation
Install

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.

Any agent
npx skills add sandbaseai/sandbase-skills --skill hybrid-search-implementation
Clone the repo
git clone --depth 1 https://github.com/sandbaseai/sandbase-skills

Made for: Claude Code.

Or install sandbase-skills, the plugin that ships this one along with the rest of its 244 skills.

Wrote 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.

agentmods badge for hybrid-search-implementation

README.md
[![agentmods](https://agentmods.dev/badge/skills/sandbaseai/sandbase-skills/hybrid-search-implementation/github.svg)](https://agentmods.dev/skills/sandbaseai/sandbase-skills/hybrid-search-implementation)
Your own site
<a href="https://agentmods.dev/skills/sandbaseai/sandbase-skills/hybrid-search-implementation"><img src="https://agentmods.dev/badge/skills/sandbaseai/sandbase-skills/hybrid-search-implementation/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.

agentmods 80×15 button for hybrid-search-implementation

Your own site · 80×15
<a href="https://agentmods.dev/skills/sandbaseai/sandbase-skills/hybrid-search-implementation"><img src="https://agentmods.dev/badge/skills/sandbaseai/sandbase-skills/hybrid-search-implementation.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 41 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 602 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin 61% copy Near-identical to another mod in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5.1 $0.00041 $0.00602
Opus 5.5 $0.00016 $0.00241
Sonnet 5.5 $0.00008 $0.00120
Haiku 4.5 $0.00004 $0.00060

Measured 28d ago against content hash c12e5320acf8, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

hybrid-search-implementation 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 28d 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.

Origin

This is a copy

61% identical to accessibility-review — 21 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.

marketing/hybrid-search-implementation/SKILL.md · 47 lines

How it starts

The opening of the file, as written. The whole thing — 47 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Hybrid Search Implementation

Use this Skill to produce a bounded, verifiable Hybrid Search Implementation outcome. Preserve the user's chosen stack, source material, and authorization boundaries.

Read the SandBase API map only when the task genuinely needs an external data source or generative model.

Workflow

  1. Inspect the available files, runtime, versions, inputs, and existing conventions before deciding what to change.
  2. Restate the requested outcome, constraints, acceptance checks, and any assumption that could change the result.
  3. Produce the smallest complete implementation, analysis, or artifact that satisfies those checks.
  4. Verify the real output with appropriate tests, previews, calculations, or source comparison; do not infer success from file creation alone.
  5. Return the deliverable, evidence of validation, material assumptions, and unresolved limitations.

Quality gates

  • Inspect repository instructions, current versions, tests, and user changes before proposing an implementation.
  • Make the smallest compatible change, preserve public contracts unless change is requested, and avoid new dependencies without a concrete benefit.
  • Run focused tests plus the relevant build or static checks, then report observed results and any unverified paths.

Focus checks

  • Normalize lexical and vector scores, choose a documented fusion method, preserve metadata filters, and evaluate recall and ranking against a labeled query set.

SandBase boundary

Keep the core Hybrid Search Implementation work local. Use SandBase only for current external documentation, repository evidence, or explicitly requested model inference.

  1. Call sandbase_discover with a short capability query.
  2. Call sandbase_inspect for viable candidates and compare the live schema, coverage, limits, output, execution mode, and price.
  3. Prefer a dedicated tool or API the user already has. Send only the minimum necessary data.
  4. Before any paid call, show the endpoint, important arguments, current unit price, call count, and total estimate or uncertainty, then obtain confirmation.
  5. Use sandbase_account before an approved multi-call batch and call sandbase_run only with current schema-defined arguments.
  6. Poll asynchronous work with sandbase_run_get using the same run ID; never resubmit merely because it is pending.
  7. Use sandbase_runs only to recover status or reconcile observed cost.

Read the full file on GitHub · 47 lines

Files

What ships with it

1 file 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.

Changes

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.

  1. 28d ago First seen · 47 lines · 41 tokens per session scan A c12e5320acf8

Subscribe to this mod's changes

hybrid-search-implementation is a skill published in the GitHub repository sandbaseai/sandbase-skills (202 stars, last pushed 29d ago), licensed Apache-2.0. It adds 41 tokens to every session and 602 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. It is 61% identical to accessibility-review, differing in 21 lines, and is treated as a copy.

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