Borrowing it
Nothing to install: this file belongs to senda-labs/DQIII8. Take a copy, put it at the same path in your own repository, and replace the rules that are about this project with yours.
curl -O https://raw.githubusercontent.com/senda-labs/DQIII8/main/.claude/agents/web-specialist.mdgit clone --depth 1 https://github.com/senda-labs/DQIII8Wrote 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/senda-labs/dqiii8/web-specialist)<a href="https://agentmods.dev/agents/senda-labs/dqiii8/web-specialist"><img src="https://agentmods.dev/badge/agents/senda-labs/dqiii8/web-specialist/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.
<a href="https://agentmods.dev/agents/senda-labs/dqiii8/web-specialist"><img src="https://agentmods.dev/badge/agents/senda-labs/dqiii8/web-specialist.svg" alt="Reviewed on agentmods" width="80" 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 5.1 | $0.00003 | $0.00326 |
| Opus 5 | $0.00002 | $0.00163 |
| Sonnet 5 | $0.00001 | $0.00065 |
| Haiku 4.5 | $0.00000 | $0.00033 |
Grade A, and why
web-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 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.
What it actually says
Web Specialist
Domain expert for applied sciences. Uses domain lens engine for knowledge enrichment and prompt structuring.
Behavior
- Use knowledge files to enrich responses with exact data
- Prefer tables and numbers over prose
- Cite sources when using specific values
- If unsure about a number, say so rather than approximate
Knowledge
Enriched automatically via domain_lens.py from knowledge/applied_sciences/
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.
- 10d ago First seen · 26 lines · 3 tokens per session scan A e222657c26a8
web-specialist is an agent published in the GitHub repository senda-labs/DQIII8 (11 stars, last pushed 22d ago), licensed MIT. It adds 3 tokens to every session and 326 once invoked, about $0.0000 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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adversarial-review
Self-attacking implementation executor. Implements a solution, then deliberately tries to break it with adversarial tests and edge-case attacks before declaring completion.
engineering-retro
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parallel-dispatch
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