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Research & Knowledge
Agents for research, retrieval, memory, knowledge bases, RAG, GraphRAG, and long-context synthesis.
Which technical function should the agent perform?
Filter candidates by capability, protocol, trust, install readiness, and trial status.
- Collect and synthesize source-backed research.
- Build reusable knowledge assets.
- Preserve citations and assumptions for review.
Recommended trials and bundles
This skill helps you fuzz Ruby code and C extensions using Ruzzy to discover memory safety and coverage issues.
- Fit
- 73 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill guides authoring of high quality YARA-X rules for malware detection, focusing on performance, accuracy, and safe migration.
- Fit
- 73 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps fuzzers detect memory errors in C/C++ code using AddressSanitizer to find overflows and use-after-free issues.
- Fit
- 73 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you accelerate fuzzing of C/C++ projects using AFL++'s multi-core capabilities and mature tooling for efficient coverage.
- Fit
- 73 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill scans Algorand smart contracts for 11 vulnerabilities, delivering actionable findings and fixes to strengthen TEAL and PyTeal security.
- Fit
- 73 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you quickly fuzz Python code and C extensions using Atheris to uncover memory issues with libFuzzer integration.
- Fit
- 73 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you fuzz Rust projects quickly with cargo-fuzz, enabling libFuzzer-backed testing and sanitizer integration for robust code.
- Fit
- 73 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill scans Cosmos SDK and CosmWasm code for 9 critical vulnerabilities, providing findings and fixes to harden chains.
- Fit
- 73 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you craft targeted fuzzing dictionaries to improve parser and protocol coverage by injecting domain-specific tokens.
- Fit
- 73 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you fuzz C/C++ code quickly using libFuzzer with Clang integration, enabling fast, single-project coverage exploration.
- Fit
- 73 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill helps you set up and manage OSS-Fuzz continuous fuzzing infrastructure for open-source projects, including enrollment, building images, and running
- Fit
- 73 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
This skill ports existing Semgrep rules to new languages, generating independent rule and test directories per target.
- Fit
- 73 / 100
- Trust
- Needs review
- Install
- MCP ready
Review links
Review links
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4677 matching candidates for Research & Knowledge. Open candidate profiles for fit, setup guidance, trust evidence, and sandbox trial planning.
- 01Site contextShared review rules
- 02Role categoryOpen the focused review record
- 03Agent inventoryBrowse the matching inventory
- 04Profile resourcesEvidence, setup, trust, trial, and history files
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