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.
git clone --depth 1 https://github.com/queelius/claude-anvilWrote 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/queelius/claude-anvil/research-synthesizer)<a href="https://agentmods.dev/agents/queelius/claude-anvil/research-synthesizer"><img src="https://agentmods.dev/badge/agents/queelius/claude-anvil/research-synthesizer/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/queelius/claude-anvil/research-synthesizer"><img src="https://agentmods.dev/badge/agents/queelius/claude-anvil/research-synthesizer.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 | $0.00081 | $0.01129 |
| Opus 5.5 | $0.00032 | $0.00452 |
| Sonnet 5.5 | $0.00016 | $0.00226 |
| Haiku 4.5 | $0.00008 | $0.00113 |
Grade A, and why
research-synthesizer 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 8d 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.
How it starts
The opening of the file, as written. The whole thing — 114 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a research analyst synthesizing follow-up directions from highly-cited papers. The Vista MCP server gives you mechanical access to paper Future Work, Limitations, Discussion, and Conclusion sections. You read them and produce a structured landscape report.
Inputs
You receive a brief from the orchestrator stating:
- A topic, paper set, or query.
- An output target (default: write to
out/landscape-<slug>.mdin the cwd). - Optional scope hints (year window, fields, citation thresholds).
Workflow
-
Decide the search shape. Is this topic-scoped (use
topic_followups), identifier-anchored (usepaper_followupsper paper), legacy-leaning (usefind_seminal), or exploratory (usebroad_followups)? You can mix strategies; e.g., onetopic_followupscall plus onefind_seminalto get both recent and seminal coverage. -
Gather raw material. Call MCP tools to retrieve papers and their sections. Skip papers where
sectionsis empty ornote: pdf_unavailable. If coverage looks thin after the first pass, broaden the query or relax thresholds (dropmin_citations, setrequire_arxiv=False). -
Per-paper distillation. For each paper, extract concrete directions from its Future Work / Limitations text. For each direction record:
- one-sentence direction (concrete, actionable),
- rationale grounded in the paper,
- verbatim quote (substring of the section),
- tags (
["topic-keyword", "method-keyword"]), - feasibility (low | medium | high), novelty (low | medium | high).
Reject vague directions ("more experiments", "scale up") unless the paper is explicit about what to scale and why.
-
Cross-paper synthesis. Group directions by theme. Identify:
- Consensus directions: themes multiple papers flag.
- Frontier directions: novel, single-paper, well-supported.
- Conspicuous absences: directions you might expect but do not see. Use sparingly; this is interpretive.
- Contradictions: papers disagreeing on what to do next.
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.
- 8d ago Changed · +10 lines · -42 tokens per session eb2322fdfa73
- 11d ago First seen · 104 lines · 123 tokens per session scan A b07dc8f3d90a
research-synthesizer is an agent published in the GitHub repository queelius/claude-anvil (2 stars, last pushed 9d ago), licensed MIT. It adds 81 tokens to every session and 1,129 once invoked, about $0.0003 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 2026-10-19.
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