find

find is a skill for Claude Code from keshrath/agent-discover. It costs 50 tokens per session (362 once invoked), scanned A, original, MIT.

A workflow for finding an MCP tool or server that provides a missing capability, such as querying a database or posting to Slack. It searches available tools first, then can find and install a suitable server with your consent.

In plain words
What is it for?
Use it to search for a capability, enable an installed server, inspect a tool's required inputs, or request installation of a new server.
Why use it?
It avoids declaring a task impossible before checking whether an existing tool can do it. It also prevents installation without approval and points out missing secrets before a tool is used.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Part of the agent-discover plugin — 2 skills, 1 MCP server shipped together

Good fit Use it to search for a capability, enable an installed server, inspect a tool's required inputs, or request installation of a new server.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/keshrath/agent-discover/find
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 keshrath/agent-discover --skill find
Clone the repo
git clone --depth 1 https://github.com/keshrath/agent-discover

Made for: Claude Code.

Or install agent-discover, the plugin that ships this one along with the rest of its 2 skills, 1 MCP server.

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 find

README.md
[![agentmods](https://agentmods.dev/badge/skills/keshrath/agent-discover/find/github.svg)](https://agentmods.dev/skills/keshrath/agent-discover/find)
Your own site
<a href="https://agentmods.dev/skills/keshrath/agent-discover/find"><img src="https://agentmods.dev/badge/skills/keshrath/agent-discover/find/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 find

Your own site · 80×15
<a href="https://agentmods.dev/skills/keshrath/agent-discover/find"><img src="https://agentmods.dev/badge/skills/keshrath/agent-discover/find.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 50 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 362 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 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 5.1 $0.00050 $0.00362
Opus 5.5 $0.00020 $0.00145
Sonnet 5.5 $0.00010 $0.00072
Haiku 4.5 $0.00005 $0.00036

Measured 10d ago against content hash b3e886b87861, method: parsed. Prices are Anthropic first-party input rates as of 2026-10-07, from the pricing page.

Security

Grade A, and why

find 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 10d 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.

plugin/skills/find/SKILL.md · 16 lines

What it actually says

Goal: get a working tool for this need with the fewest calls: $ARGUMENTS

  1. search_tools with 2-4 short phrasings of the need in one call (queries: [...]). It searches every installed server's indexed tools, enabled or not.
  2. Good hit on an enabled server: call that tool directly (native name <server>__<tool>), or via call_tool if it is not in your tool list.
  3. Good hit on an installed but not enabled server: enable_server, then use the tool. Mention missing secrets from the result instead of calling a tool that will fail.
  4. No good hit: search_servers (searches local + MCP Registry/npm/PyPI). Pick the best match and call install_server. The user is asked for consent with the exact command, env keys and provenance; never install without that approval and never retry a denied install.
  5. Use get_tool when you need the full input schema before calling.

Report in one or two lines what you enabled or installed. Do not paste the result tables back; the user already sees them.

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. 10d ago First seen · 16 lines · 50 tokens per session scan A b3e886b87861

Subscribe to this mod's changes

find is a skill published in the GitHub repository keshrath/agent-discover (7 stars, last pushed 7d ago), licensed MIT. It adds 50 tokens to every session and 362 once invoked, about $0.0002 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 2026-10-06.

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