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 Proxy2021/Enso --skill enso-researchergit clone --depth 1 https://github.com/Proxy2021/EnsoWrote 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/proxy2021/enso/enso-researcher)<a href="https://agentmods.dev/skills/proxy2021/enso/enso-researcher"><img src="https://agentmods.dev/badge/skills/proxy2021/enso/enso-researcher/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/proxy2021/enso/enso-researcher"><img src="https://agentmods.dev/badge/skills/proxy2021/enso/enso-researcher.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 | $0.00022 | $0.00748 |
| Opus 5.5 | $0.00009 | $0.00299 |
| Sonnet 5.5 | $0.00004 | $0.00150 |
| Haiku 4.5 | $0.00002 | $0.00075 |
Grade A, and why
enso-researcher 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 — 94 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Enso Researcher
Deep web research with multi-query coverage, AI-synthesized narrative, images, videos, and a persistent research library.
When to use
Use the researcher tools when:
- The user asks to research, investigate, or look into a topic
- A question needs multiple sources for a thorough answer (not a quick factual lookup)
- The user wants a comprehensive overview with citations
- Comparing two approaches, technologies, or perspectives
- Following up on a previously researched topic with a specific question
Do NOT use for:
- Simple factual questions ("What's the capital of France?")
- Tasks that need real-time data (stock prices, live scores)
- Requests the agent can answer from its own knowledge
Tools
enso_researcher_search (start here)
Primary entry point. Runs multiple web queries, fetches sources, and synthesizes findings with Gemini.
enso_researcher_search({ topic: "quantum computing applications", depth: "standard" })
depth:quick(3 queries, fast),standard(6 queries, balanced),deep(8 queries, thorough)- Results are cached — repeated searches return instantly from the research library
- Use
force: trueto bypass cache and get fresh results - Returns: narrative, key findings, sections, sources, images, videos
enso_researcher_deep_dive
Drill into a specific subtopic after an initial search.
enso_researcher_deep_dive({ topic: "quantum computing", subtopic: "error correction breakthroughs" })
enso_researcher_compare
Side-by-side comparison of two topics with structured analysis.
enso_researcher_compare({ topicA: "React", topicB: "Vue", context: "for a startup MVP" })
enso_researcher_follow_up
Ask a specific follow-up question in the context of prior research.
enso_researcher_follow_up({ topic: "quantum computing", question: "What are the main challenges for commercial adoption?" })
enso_researcher_send_report
Email a full research report to a recipient. Pulls all data (narrative, findings, sections, sources, media) from the research cache automatically — just provide recipient and topic.
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 · 94 lines · 22 tokens per session scan A 97f37b4211bd
enso-researcher is a skill published in the GitHub repository Proxy2021/Enso (6 stars, last pushed 5mo ago), licensed MIT. It adds 22 tokens to every session and 748 once invoked, about $0.0001 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 skills, from other repositories
solopi-ai
A command-line framework for testing Android apps and devices with SoloPi, including on-device or cloud AI decision models. It manages devices, test cases, recorded interactions, replays, performance history, and evidence.
argent-tv-interact
Control and inspect TV apps via argent, Apple TV (tvOS), Android TV (leanback), and Amazon Fire TV (Vega). Boot the target, read focus, navigate with the D-pad remote, type, screenshot, and on Vega debug the JS runtime (evaluate, console logs, network inspector). Use when a task targets a TV (runtimeKind "tv", or…
manage-prs
Create, review, and merge GitHub pull requests and publish releases using repository Git rules. Use for requests to open a PR, push and create a PR, review PRs, merge a PR, or tag a release and write release notes.
flutter-feature-based-clean-architecture
Organize Flutter apps with modular feature-based clean architecture. Use when creating features under lib/features/ with domain, data, and presentation layers. Do not use for test-only, BlocBuilder, navigation, or spinner requests.
database-redis
Optimize Redis as cache and coordination infrastructure with TTL, eviction, and latency-aware key design. Use when implementing Redis caching, key invalidation, or Redis performance work.
init-project
Turn this boilerplate into a new app by renaming it, removing sample files, and linking it to EAS. Use when starting a new app from this template, or when asked to init, bootstrap, or rename the project.