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 skills add poemswe/co-researcher --skill research-synthesisgit clone --depth 1 https://github.com/poemswe/co-researcherWrote 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/skills/poemswe/co-researcher/research-synthesis)<a href="https://agentmods.dev/skills/poemswe/co-researcher/research-synthesis"><img src="https://agentmods.dev/badge/skills/poemswe/co-researcher/research-synthesis/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/skills/poemswe/co-researcher/research-synthesis"><img src="https://agentmods.dev/badge/skills/poemswe/co-researcher/research-synthesis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>- NVIDIA SkillSpector pass
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 | $0.00022 | $0.00848 |
| Opus 5 | $0.00011 | $0.00424 |
| Sonnet 5 | $0.00004 | $0.00170 |
| Haiku 4.5 | $0.00002 | $0.00085 |
Grade A, and why
research-synthesis 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 12d 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 — 79 lines — stays where its author put it; the contents beside it link to each section on GitHub.
1. Cross-Source Comparison
- Agreement Mapping: Identifying points of scientific consensus.
- Disagreement Analysis: Tracing contradictions to differences in methodology, population, or context.
- Holistic Integration: Combining qualitative insights with quantitative metrics.
2. Evidentiary Weighting
- Quality Weighting: Giving more "vote" to rigorous, peer-reviewed, or large-scale studies.
- Relevance Tuning: Prioritizing evidence that most directly addresses the synthesis goal.
3. Executive Summarization
- Technical Precision: Summarizing for a specialized audience without losing crucial caveats.
- Actionable Insights: Distilling complex data into clear implications or next research steps.
<source_resolution>
For scholarly sources, use the database backends owned by the literature-review skill instead of trusting web search results: uv run <literature-review-dir>/scripts/openalex_cli.py (metadata, citation counts), europepmc_api.py (life-science full text), search_arxiv.py (preprints), read_paper.py (full text for any DOI/arXiv/PMCID). Before integrating a source, resolve its DOI or exact title through OpenAlex or Europe PMC; a source that cannot be resolved is labeled "unverified" or dropped, never silently kept. Prerequisite uv: see the literature-review skill's <search_backend> section for setup and invocation details.
</source_resolution>
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.
- 12d ago First seen · 79 lines · 22 tokens per session scan A 8042f369eeb2
research-synthesis is a skill published in the GitHub repository poemswe/co-researcher (128 stars, last pushed 3d ago), licensed MIT. It adds 22 tokens to every session and 848 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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