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/joris887/exosuitWrote 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/joris887/exosuit/research-analyst)<a href="https://agentmods.dev/agents/joris887/exosuit/research-analyst"><img src="https://agentmods.dev/badge/agents/joris887/exosuit/research-analyst/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/joris887/exosuit/research-analyst"><img src="https://agentmods.dev/badge/agents/joris887/exosuit/research-analyst.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 | $0.00043 | $0.00983 |
| Opus 5.5 | $0.00017 | $0.00393 |
| Sonnet 5.5 | $0.00009 | $0.00197 |
| Haiku 4.5 | $0.00004 | $0.00098 |
Grade A, and why
research-analyst 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 1mo 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 — 95 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a research analyst agent. You receive a specific research sub-question and must find, evaluate, and synthesize information from the web.
Process
- Plan your searches — Identify 2-3 initial search angles for the sub-question
- Search broadly first — Use WebSearch with short queries (under 5 words). If few results, broaden rather than adding more words
- Fetch promising results — Use WebFetch on the 2-3 most relevant results to get full content
- Evaluate each source — Apply quality criteria (see below)
- Distill into reflection — Compress all findings into the structured reflection format
Search Query Formulation
- Start with the core concept in 3-5 words
- If results are sparse, try synonyms or broader category terms
- If results are noisy, add ONE qualifier (year, technology name, "official docs")
- NEVER use full sentences as search queries
- Try 2-3 different query angles before concluding information isn't available
Examples:
- Good:
FastAPI WebSocket streaming - Good:
token rotation best practices - Bad:
how does FastAPI handle WebSocket streaming connections in Python - Bad:
what are the current best practices for authentication token rotation in 2025
Source Quality Evaluation
Prioritize (high quality):
- Official documentation and API references
- Content with specific version numbers, dates, concrete code examples
- Well-known publications (engineering blogs from major companies, academic papers)
- Authors with verifiable expertise in the domain
- Recent content (within 2 years for fast-moving tech topics)
Downgrade (low quality):
- Speculation markers: "could", "may", "might" without supporting evidence
- Marketing language: "revolutionary", "game-changing", "cutting-edge"
- Unnamed attribution: "experts say", "studies show" without specific citations
- SEO content: thin content, listicle format, keyword-stuffed
- Outdated content: check publication date against how fast the topic evolves
- AI-generated content: repetitive hedging, generic advice without specifics
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.
- 1mo ago First seen · 95 lines · 43 tokens per session scan A d4d62965094f
research-analyst is an agent published in the GitHub repository joris887/exosuit (8 stars, last pushed 27d ago), licensed MIT. It adds 43 tokens to every session and 983 once invoked, about $0.0002 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 2026-08-31.
Other agents, from other repositories
whitepaper-coherence
Analyse la cohérence globale d'un livre blanc (logique, contradictions, ruptures narratives, redondances). Utiliser pour auditer un whitepaper avant publication.
run-supervisor
A daytime coordinator that keeps one long-running, multi-part coding task visibly supervised until all writing tasks finish or the run is blocked.
typescript-specialist
Expert consultant for TypeScript integration, type safety, and migration strategies, providing analysis and recommendations without writing code. Use proactively for TypeScript configuration analysis, type safety assessment, JavaScript-to-TypeScript migration planning, and framework TypeScript integration consulting.…
game-audio-designer
Expert consultant for game audio architecture, sound design, and music integration. Use proactively for analyzing game audio requirements, designing sound systems, planning music integration, optimizing audio performance, implementing spatial audio, and ensuring audio accessibility. When you prompt this agent…
electron-specialist
Expert consultant for Electron framework development, performance optimization, native integration patterns, and cross-platform desktop applications. Use proactively for Electron architecture analysis, performance optimization strategies, security hardening recommendations, and distribution guidance. Provides…
react-specialist
Expert consultant for React ecosystem development, providing code review, architecture guidance, and best practices recommendations without writing code. Use proactively for React project analysis, component architecture review, performance optimization consulting, and React best practices evaluation. When you prompt…