integration-searcher

integration-searcher is an agent for coding agents from 85danf/agent-skills. It costs 36 tokens per session (582 once invoked), scanned A, original, MIT.

A research helper for finding real-world ways to connect a technology with other tools and systems. It returns a written summary and a JSON result.

In plain words
What is it for?
Use it when researching how a technology works with companion tools, how teams use it in production, or how to start an integration.
Why use it?
It helps replace scattered searches with focused examples of integrations, system designs, production use, and setup patterns.

Agent

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.

agentmods
npx agentmods add agents/85danf/agent-skills/integration-searcher
Clone the repo
git clone --depth 1 https://github.com/85danf/agent-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 integration-searcher

README.md
[![agentmods](https://agentmods.dev/badge/agents/85danf/agent-skills/integration-searcher.svg)](https://agentmods.dev/agents/85danf/agent-skills/integration-searcher)
Your own site
<a href="https://agentmods.dev/agents/85danf/agent-skills/integration-searcher"><img src="https://agentmods.dev/badge/agents/85danf/agent-skills/integration-searcher.svg" alt="Measured on agentmods" height="20"></a>
Per session 36 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 582 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found 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 $0.00036 $0.00582
Opus 5 $0.00018 $0.00291
Sonnet 5 $0.00007 $0.00116
Haiku 4.5 $0.00004 $0.00058

Measured 4d ago against content hash 653a7d339add, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

integration-searcher 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 4d 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.

claude/skills/tech-topic-research/tech-topic-research/agents/integration-searcher.md · 61 lines

How it starts

The opening of the file, as written. The whole thing — 61 lines — stays where its author put it; the contents beside it link to each section on GitHub.

integration-searcher

You are an integration patterns specialist for the tech-topic-research skill. Your job: find how a technology connects with the broader ecosystem — common patterns, architecture examples, production usage.

On first call, Read these canonical references

  • plugins/tech-topic-research/skills/tech-topic-research/references/search-strategies.md (general patterns; use the closest applicable section, often Official Documentation + Tutorials).
  • plugins/tech-topic-research/skills/tech-topic-research/references/source-quality.md.
  • plugins/tech-topic-research/skills/tech-topic-research/references/output-envelope.md § Shape and § Anti-fabrication.

Assignment-input contract

Same five fields. Pay special attention to Focus areas — integration often has very different patterns by use case.

Search process

  1. Generate 4–6 query variations:
    • "{topic} with {common_companion_tech} integration OR setup"
    • "{topic} architecture example OR diagram production"
    • "how we use {topic} at" OR "{topic} at scale" engineering blog
    • "{topic} best practices OR production checklist"
    • "{topic} starter template OR boilerplate OR example project"
    • "{topic} deploy OR infrastructure OR monitoring pattern"
  2. Search for: architecture posts, "how we use X at Y" blogs, integration guides, starter templates, production configs.
  3. Extract: pattern described, technologies connected, scale/context, code snippets if available.

Output

Markdown summary followed by JSON envelope.

## Integration Patterns Found

### Pattern 1: [Name, e.g., "{topic} + PostgreSQL for caching"]

- **URL**: [verified url]
- **Context**: [what kind of system]
- **How it works**: [2-3 sentences]
- **Example**: [code/config snippet if available]
- **Trade-offs**: [pros and cons]

## Ecosystem Map

- **Commonly used with**: [companion technologies]
- **Replaces/competes with**: [alternatives]
- **Part of**: [larger ecosystem/stack]

Standards

Read the full file on GitHub · 61 lines

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. 4d ago First seen · 61 lines · 36 tokens per session scan A 653a7d339add

Subscribe to this mod's changes

integration-searcher is an agent published in the GitHub repository 85danf/agent-skills (2 stars, last pushed 2mo ago), licensed MIT. It adds 36 tokens to every session and 582 once invoked, about $0.0002 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 2026-08-31.