web-search

web-search is a skill for Claude Code, Codex from vericle/heyclaw. It costs 15 tokens per session (460 once invoked), scanned A, original, MIT.

A skill for searching the internet and checking current information against sources. It describes how to choose searches, result counts, freshness filters, and source-based answers.

In plain words
What is it for?
Looking up current facts, verifying claims, retrieving recent information, and gathering a small set of relevant sources.
Why use it?
It provides a repeatable way to find information that may have changed instead of relying on memory.

Skill for Claude CodeCodex

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 skills/vericle/heyclaw/web-search
Any agent
npx skills add vericle/heyclaw --skill web-search
Clone the repo
git clone --depth 1 https://github.com/vericle/heyclaw

Made for: Claude Code, Codex.

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 web-search

README.md
[![agentmods](https://agentmods.dev/badge/skills/vericle/heyclaw/web-search.svg)](https://agentmods.dev/skills/vericle/heyclaw/web-search)
Your own site
<a href="https://agentmods.dev/skills/vericle/heyclaw/web-search"><img src="https://agentmods.dev/badge/skills/vericle/heyclaw/web-search.svg" alt="Measured on agentmods" height="20"></a>
Per session 15 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 460 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 5.1 $0.00015 $0.00460
Opus 5 $0.00008 $0.00230
Sonnet 5 $0.00003 $0.00092
Haiku 4.5 $0.00002 $0.00046

Measured 5d ago against content hash 4ed674a1ab99, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-05, from the pricing page.

Security

Grade A, and why

web-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 5d 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.

heyclaw/workspace/skills/web-search/SKILL.md · 36 lines

What it actually says

Use this skill when the user explicitly asks to search for, verify, or check information on the Internet, or when the answer necessarily requires up-to-date information.

Procedure

  1. Call mcp_perplexity_perplexity_search. HeyClaw's LLM will synthesize the returned sources, so do not use perplexity_ask for the normal search path.
  2. Write a specific, self-contained query. Include only the conversational context needed to understand the request and include the current date when the user asks for today's or other time-sensitive information.
  3. Retrieve only what the request needs. For a single fact or short spoken answer, start with max_results: 3 and max_tokens_per_page: 256. Use 4-5 results or 512 tokens per page only when the user asks for a comparison, multiple-source verification, or more detail. Do not increase both mechanically.
  4. Set search_recency_filter only when freshness is part of the request or the information is likely to have changed. Match hour, day, week, month, or year to the actual time window instead of applying a news-specific default.
  5. Base the answer on the returned snippets. Cross-check claims across the results when possible, and preserve facts, names, numbers, and dates accurately.
  6. If the results are insufficient and mcp_perplexity_perplexity_ask is available, use it once as a fallback with search_context_size set to low and the matching recency filter. Do not call both tools routinely.
  7. If the search returns no useful information or fails, say so briefly without inventing anything.

Spoken response

Summarize the result naturally and concisely in the user's language. Do not speak URLs, Markdown, citation numbers, server or tool names, and do not describe the internal process.

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. 5d ago First seen · 36 lines · 15 tokens per session scan A 4ed674a1ab99

Subscribe to this mod's changes

web-search is a skill published in the GitHub repository vericle/heyclaw (17 stars, last pushed 26d ago), licensed MIT. It adds 15 tokens to every session and 460 once invoked, about $0.0001 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 2026-08-30.

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