synalinks
synalinks is an LLM app frameworks & APIs skill for AI agents, published by SynaLinks in the synalinks-skills repository on GitHub. Skillspace rates synalinks F (45/100) and the safety scan rated it risky; the rating is based on static analysis only.
Risky. This skill has patterns associated with unsafe behaviour. Read the source carefully before running it.
Use for anything involving the Synalinks neuro-symbolic LM framework (Keras-inspired) — DataModel/Field/Input, JSON operators (+ & | ^ ~), synalinks.ops, LanguageModel/EmbeddingModel and provider prefixes (openai/anthropic/ollama/groq/openrouter/bedrock/...); the Program class and its four building APIs (Functional/Sequential/Subclassing/Mixed), save/load, summary; generation modules (Generator, ChainOfThought, SelfCritique, Identity, PythonSynthesis) and custom Module subclassing; control flow (Decision, Branch, And/Or/Xor, parallel branches, self-consistency, XOR guards); agents (FunctionCallingAgent, RecursiveLanguageModelAgent/RLM, DeepAgent, Tool, MCP, subagents); KnowledgeBase/RAG (DuckDB, EmbedKnowledge/UpdateKnowledge/RetrieveKnowledge, hybrid search); training (compile/fit/evaluate/predict, callbacks, ProgramCheckpoint); rewards & metrics (ExactMatch, CosineSimilarity, LMAsJudge, ProgramAsJudge, F1Score, custom rewards, masking); optimizers (RandomFewShot, OMEGA/DNS); datasets…
- Grade
- F
- Quality
- 45 / 100
- Safety
- Risky
- GitHub stars
- 903
Unproven: rated by static analysis only, not yet compared head-to-head.
Our two independent classifiers differ on this skill's category, so treat the placement as provisional.
This rating describes the version of the repository we crawled; it may have changed since.
Our review
- Architecture
- 86 / 100
- Maturity
- Structured: ships references or scripts
- Security scan
- High-risk patterns
- License
- Apache-2.0
- Adoption
- Adopted by 0 other repositories, in 1 collections
What the scanner flagged
- references sensitive credential env
Not checked yet
- Not judged on the rubric yet (not a contender in its category)
- No blind task eval yet
- Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
- Sibling files (scripts, references) not fetched; security scan covers SKILL.md only
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