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.
npx agentmods add agents/aspenkit/aspens/web-research-specialistgit clone --depth 1 https://github.com/aspenkit/aspensWrote 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.
[](https://agentmods.dev/agents/aspenkit/aspens/web-research-specialist)<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>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.
| Model | Per session | Once 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 |
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.
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/exportonly, neverrequire(). Search for ESM-compatible solutions. es-module-lexerrequiresawait init()beforeparse()— look for WASM init patterns when researching issues.- Error handling uses
CliErrorfromsrc/lib/errors.js, notprocess.exit(). - Claude CLI is invoked via
claude -p --verbose --output-format stream-json. Codex CLI viacodex exec --json.
Project commands:
- Tests:
npm test(vitest) - Run CLI:
npm startornode bin/cli.js - Lint: not configured yet (
npm run lintis 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:
-
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
-
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
-
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
-
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
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.
- 5d ago First seen · 70 lines · 37 tokens per session scan A f8e80afa80a3
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.
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