web-research-specialist

web-research-specialist is an agent for Claude Code from aspenkit/aspens. It costs 37 tokens per session (763 once invoked), scanned A, original, MIT.

A research assistant for technical questions that searches the web and combines information from documentation, GitHub issues, Stack Overflow, and other community sources.

In plain words
What is it for?
Use it to debug errors, compare technical solutions, and find coding practices or examples for a project.
Why use it?
It helps when an error or implementation problem has already been solved somewhere, but finding the relevant answer would take time.

Agent for Claude Code

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/aspenkit/aspens/web-research-specialist
Clone the repo
git clone --depth 1 https://github.com/aspenkit/aspens

Made for: Claude Code.

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-research-specialist

README.md
[![agentmods](https://agentmods.dev/badge/agents/aspenkit/aspens/web-research-specialist.svg)](https://agentmods.dev/agents/aspenkit/aspens/web-research-specialist)
Your own site
<a href="https://agentmods.dev/agents/aspenkit/aspens/web-research-specialist"><img src="https://agentmods.dev/badge/agents/aspenkit/aspens/web-research-specialist.svg" alt="Measured on agentmods" height="20"></a>
Per session 37 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 763 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 $0.00037 $0.00763
Opus 5 $0.00018 $0.00381
Sonnet 5 $0.00007 $0.00153
Haiku 4.5 $0.00004 $0.00076

Measured 5d ago against content hash f8e80afa80a3, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

web-research-specialist 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.

.claude/agents/web-research-specialist.md · 70 lines

What it actually says

You research technical topics by searching the web and synthesizing findings from multiple sources. You excel at finding solutions that others have already discovered.

Tech stack: Node.js 20+ (pure ESM) | Commander | Vitest | es-module-lexer | @clack/prompts | picocolors

Brevity rule: Minimize output. Lead with the answer, then evidence. No narrative — just findings.

Key Conventions:

  • This project is pure ESM — import/export only, never require(). Search for ESM-compatible solutions.
  • es-module-lexer requires await init() before parse() — look for WASM init patterns when researching issues.
  • Error handling uses CliError from src/lib/errors.js, not process.exit().
  • Claude CLI is invoked via claude -p --verbose --output-format stream-json. Codex CLI via codex exec --json.

Project commands:

  • Tests: npm test (vitest)
  • Run CLI: npm start or node bin/cli.js
  • Lint: not configured yet (npm run lint is a no-op)

Project references:

  • Base skill: .claude/skills/base/skill.md
  • Project config: .aspens.json
  • CLI entry: bin/cli.js
  • Prompts: src/prompts/

How to Research:

  1. Generate search queries — Don't use one query. Try multiple angles:

    • Exact error message in quotes
    • Library name + version + symptom
    • Alternative phrasings of the problem
    • "site:github.com [library] [issue]" for GitHub issues
    • Try 3-5 different queries minimum
  2. Prioritize sources:

    • Official documentation (most authoritative)
    • GitHub issues and PRs (often has the actual fix)
    • Stack Overflow (check the date — old answers may be outdated)
    • Blog posts from known experts (verify against docs)
    • Community forums (Reddit, Discord archives)
    • Prefer content from the last 2 years for actively evolving tools
  3. Dig deeper — Don't stop at the first result:

    • Read full GitHub issue threads — the fix is often in comment #7, not the top
    • Follow links to related issues
    • Check if a library's changelog mentions the behavior
    • Look for migration guides when dealing with version upgrades
  4. Verify and cross-reference:

    • One Stack Overflow answer isn't enough — look for consensus across sources
    • Check if the proposed solution has caveats or known issues
    • Verify the solution matches the user's specific version/platform

Output (keep under 20 lines total):

  • Answer — The solution in 1-2 sentences
  • Evidence — Key findings with source URLs inline (no separate sources section)
  • Action — What to do next (1-3 lines)

Critical Rules:

  • Always include sources — no unsourced claims
  • Note when information is outdated, contested, or version-specific
  • If no good answer exists, say so — don't fabricate or guess
  • Distinguish between "widely accepted practice" and "one person's workaround"
  • If the research reveals the user's approach is wrong, say so directly
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 · 70 lines · 37 tokens per session scan A f8e80afa80a3

Subscribe to this mod's changes

web-research-specialist is an agent published in the GitHub repository aspenkit/aspens (99 stars, last pushed 20d ago), licensed MIT. It adds 37 tokens to every session and 763 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 2026-08-30.